{
  "document_id": "fresh-bethgelab-298328",
  "source_sha256": "153354fcb49dd95b0e53ee11e566e3844966d1decf81ab6546bed01a16b7dc60",
  "kind": "ku",
  "status": "generated",
  "result": {
    "schema_version": "1.0",
    "title": "Intact finger representation within primary sensorimotor cortex of Musician's Dystonia",
    "abstract_sha256": "",
    "mode": "sequential",
    "model": "base",
    "config": {
      "mode": "sequential",
      "chunk_words": 500,
      "context_words": 0,
      "previous_units": 10,
      "canonicalize": false,
      "minhash_permutations": 16,
      "canonicalization_max_tokens": 4096,
      "parse_retries": 0
    },
    "knowledge_units": [
      {
        "chunk_index": 0,
        "context_summary": "The study investigates whether Musician's dystonia involves distorted finger representations in the primary sensorimotor cortex. Using fMRI, researchers found that somatotopic maps remained intact in musicians with dystonia, contradicting the hypothesis of spatial distortion. The findings suggest the condition stems from higher-order skill encoding disruptions rather than primary sensory map changes.",
        "entities": [
          {
            "name": "Musician's dystonia",
            "entity_id": "musician_s_dystonia",
            "entity_type": "other",
            "aliases": [],
            "attributes": {
              "symptom": "Persistent decline in motor skills during the musical performance ",
              "prevalence_in_professional_musicians": "1-2%",
              "impact": "often ends performance careers",
              "model_entity_type": "condition"
            },
            "relationships": [
              {
                "predicate": "is_a_form_of",
                "target": "task-specific dystonia",
                "attributes": {},
                "target_id": null
              },
              {
                "predicate": "characterized_by",
                "target": "normal finger use for writing/typing but impaired coordination during music",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "task-specific dystonia",
            "entity_id": "task_specific_dystonia",
            "entity_type": "other",
            "aliases": [],
            "attributes": {
              "definition": "isolated dystonia presenting with selective motor impairment during specific skill performance",
              "model_entity_type": "condition"
            },
            "relationships": [
              {
                "predicate": "includes",
                "target": "Musician's dystonia",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "primary sensorimotor cortex",
            "entity_id": "primary_sensorimotor_cortex",
            "entity_type": "other",
            "aliases": [],
            "attributes": {
              "function": "contains finger representations",
              "model_entity_type": "anatomical_structure"
            },
            "relationships": [
              {
                "predicate": "studied_in",
                "target": "fMRI study on Musician's dystonia",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "fMRI study on Musician's dystonia",
            "entity_id": "fmri_study_on_musician_s_dystonia",
            "entity_type": "other",
            "aliases": [],
            "attributes": {
              "participants": "9 musicians with dystonia and 9 healthy musicians",
              "method": "functional MRI using a purpose-built keyboard device",
              "analysis_methods": "traditional spatial analysis and multivariate analyses",
              "model_entity_type": "study"
            },
            "relationships": [
              {
                "predicate": "tested_hypothesis",
                "target": "maladaptive neural changes to somatotopic organisation",
                "attributes": {},
                "target_id": null
              },
              {
                "predicate": "found",
                "target": "intact finger representation in primary sensorimotor cortex",
                "attributes": {},
                "target_id": null
              },
              {
                "predicate": "found",
                "target": "no expansion or spatial shift of digit representation maps in symptomatic group",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "representational similarity analysis",
            "entity_id": "representational_similarity_analysis",
            "entity_type": "method",
            "aliases": [],
            "attributes": {
              "reliability": "highly reliable and more consistent than spatial metrics"
            },
            "relationships": [
              {
                "predicate": "used_in",
                "target": "fMRI study on Musician's dystonia",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "animal model of task-specific dystonia",
            "entity_id": "animal_model_of_task_specific_dystonia",
            "entity_type": "other",
            "aliases": [],
            "attributes": {
              "subjects": "two monkeys",
              "training": "Fast, repetitive, and highly stereotypical grasping movements ",
              "outcome": "painful forearm syndrome and motor performance deterioration",
              "model_entity_type": "model"
            },
            "relationships": [
              {
                "predicate": "revealed",
                "target": "10-20 fold increase in sensory receptive field size",
                "attributes": {},
                "target_id": null
              },
              {
                "predicate": "revealed",
                "target": "breakdown of segregated areas (dorsal/palmar overlap)",
                "attributes": {},
                "target_id": null
              }
            ]
          }
        ],
        "source": {
          "chunk_index": 0,
          "start_word": 0,
          "end_word": 492,
          "word_count": 492,
          "sha256": "33f7d94ae9c72352231c583cbe2d8530acf36ff319f7a4250f385647d1d3f2b5",
          "sentence_minhash": [
            84989070151237717,
            1306423125707224,
            140583634530242717,
            66655718784952673,
            92046595192529395,
            62667647458868521,
            23718652799488495,
            67257714571907172,
            227817566560828482,
            107048872566759164,
            13716948551998784,
            71802293086670344,
            49568730582519212,
            47412694742625906,
            21633903934502347,
            658790404649858
          ]
        },
        "extraction_warnings": [
          "normalized unsupported entity type 'condition' for \"Musician's dystonia\"",
          "normalized unsupported entity type 'condition' for 'task-specific dystonia'",
          "normalized unsupported entity type 'anatomical_structure' for 'primary sensorimotor cortex'",
          "normalized unsupported entity type 'study' for \"fMRI study on Musician's dystonia\"",
          "normalized unsupported entity type 'model' for 'animal model of task-specific dystonia'"
        ]
      },
      {
        "chunk_index": 1,
        "context_summary": "Electrophysiological and imaging studies suggest distorted finger representations in the primary somatosensory cortex (S1) for task-specific dystonia, though this model fails to explain the condition's task-specificity and variability. Recent fMRI research indicates that sensorimotor cortex representations are not fixed spatial maps but arise from the mapping of everyday actions, with high individual variability in layout but preserved relative similarity. The study aims to re-examine the hypothesis of altered finger maps in S1 using updated neuroimaging methods.",
        "entities": [
          {
            "name": "task-specific dystonia",
            "entity_id": "task_specific_dystonia",
            "entity_type": "concept",
            "aliases": [],
            "attributes": {
              "clinical_features": "varied manifestations, task-specificity",
              "proposed_pathophysiology": "Distorted somatotopic representation of the hand in the S1 area "
            },
            "relationships": [
              {
                "predicate": "explained_by_hypothesis",
                "target": "distorted somatotopy of the hand in S1",
                "attributes": {},
                "target_id": null
              },
              {
                "predicate": "not_explained_by",
                "target": "altered representations within primary cortical regions",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "primary somatosensory cortex (S1)",
            "entity_id": "primary_somatosensory_cortex_s1",
            "entity_type": "place",
            "aliases": [],
            "attributes": {
              "role": "lowest level of sensory information encoding"
            },
            "relationships": [
              {
                "predicate": "contains",
                "target": "distorted finger representations",
                "attributes": {},
                "target_id": null
              },
              {
                "predicate": "subject_of_hypothesis",
                "target": "altered finger map",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "distorted somatotopy of the hand in S1",
            "entity_id": "distorted_somatotopy_of_the_hand_in_s1",
            "entity_type": "concept",
            "aliases": [],
            "attributes": {
              "status": "hypothesized cause of task-specific dystonia"
            },
            "relationships": [
              {
                "predicate": "fails_to_explain",
                "target": "task-specificity",
                "attributes": {},
                "target_id": null
              },
              {
                "predicate": "predicts",
                "target": "general deficit of any task in implicated fingers",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "premotor and parietal cortices",
            "entity_id": "premotor_and_parietal_cortices",
            "entity_type": "place",
            "aliases": [],
            "attributes": {
              "function": "encode complex and abstract features of movement"
            },
            "relationships": [
              {
                "predicate": "part_of",
                "target": "higher order control regions of the motor hierarchy",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "representational similarity analysis",
            "entity_id": "representational_similarity_analysis",
            "entity_type": "method",
            "aliases": [],
            "attributes": {
              "finding": "A high degree of overlap or similarity is observed across different individuals. "
            },
            "relationships": [
              {
                "predicate": "reveals",
                "target": "invariant organisation of finger representations",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "functional MRI (fMRI) studies in healthy individuals",
            "entity_id": "functional_mri_fmri_studies_in_healthy_individuals",
            "entity_type": "event",
            "aliases": [],
            "attributes": {
              "finding": "There is a significant overlap in the cortical areas that are activated by different parts of the body. "
            },
            "relationships": [
              {
                "predicate": "contradicts",
                "target": "notion of discrete, orderly layout",
                "attributes": {},
                "target_id": null
              },
              {
                "predicate": "shows",
                "target": "complex layouts with multiple peaks of activation in M1 and S1",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "sensorimotor cortex representations",
            "entity_id": "sensorimotor_cortex_representations",
            "entity_type": "concept",
            "aliases": [],
            "attributes": {
              "origin": "Process of assigning everyday actions to the surface of the neocortex "
            },
            "relationships": [
              {
                "predicate": "not_dictated_by",
                "target": "fixed spatial layout",
                "attributes": {},
                "target_id": null
              },
              {
                "predicate": "exhibited_by",
                "target": "high variability across individuals",
                "attributes": {},
                "target_id": null
              }
            ]
          }
        ],
        "source": {
          "chunk_index": 1,
          "start_word": 492,
          "end_word": 943,
          "word_count": 451,
          "sha256": "35f2bc59aa1f058533ee60fb19937069244e19a8aba5c4d7f06e7a1c46d8bba7",
          "sentence_minhash": [
            181534865310160414,
            7605519510423274,
            114472042057979973,
            66655718784952673,
            5043051019624353,
            284760414751052966,
            99359698575653691,
            96292850158067112,
            149650309763788182,
            7649729463600173,
            78280491562202942,
            36192083373329381,
            66824309535235066,
            118151843130073762,
            161357415568664162,
            658790404649858
          ]
        },
        "extraction_warnings": []
      },
      {
        "chunk_index": 2,
        "context_summary": "The study utilized a robotic device to compare passive and active finger movements in musicians with and without dystonia. It evaluated the reliability of pattern-similarity measures against spatial metrics and tested if finger representation maps were altered in the primary sensorimotor cortex. The analysis focused on whether increased overlap in finger representations could explain the condition.",
        "entities": [
          {
            "name": "robotic device",
            "entity_id": "robotic_device",
            "entity_type": "method",
            "aliases": [],
            "attributes": {
              "function": "enables fMRI characterization of activity patterns",
              "mechanism": "uses pneumatic pistons to lift fingers passively or allows active pressing of piano-like keys"
            },
            "relationships": [
              {
                "predicate": "used_for",
                "target": "fMRI study on Musician's dystonia",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "fMRI study on Musician's dystonia",
            "entity_id": "fmri_study_on_musician_s_dystonia",
            "entity_type": "event",
            "aliases": [],
            "attributes": {
              "participant_count": 20,
              "participant_type": "right-handed professional musicians",
              "inclusion_criteria": "postgraduate training, soloist/ensemble performance, primary income source"
            },
            "relationships": [
              {
                "predicate": "compared_groups",
                "target": "musicians with task-specific dystonia vs healthy control group",
                "attributes": {},
                "target_id": null
              },
              {
                "predicate": "analyzed_metric",
                "target": "representational similarity analysis",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "musicians with task-specific dystonia",
            "entity_id": "musicians_with_task_specific_dystonia",
            "entity_type": "other",
            "aliases": [],
            "attributes": {
              "count": 11,
              "gender": "10 male",
              "mean_age": 49.9,
              "age_sd": 7.85,
              "recruitment_sources": "National Hospital for Neurology and Neurosurgery, London Hand Therapy",
              "diagnosis_confirmation": "independent confirmation by two neurologists (MJE and AS)",
              "symptom_location": "right-hand whist playing (all), bimanual (two patients)",
              "severity_scale": "Tubiana and Chamagne scale",
              "model_entity_type": "group"
            },
            "relationships": [
              {
                "predicate": "symptomatic_fingers_defined_by",
                "target": "patient report and objective motor control deficit",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "healthy control group",
            "entity_id": "healthy_control_group",
            "entity_type": "other",
            "aliases": [],
            "attributes": {
              "count": 9,
              "gender": "all male",
              "mean_age": 41.0,
              "age_sd": 14.54,
              "health_status": "No prior history of musculoskeletal or functional limitations in the upper extremities. ",
              "model_entity_type": "group"
            },
            "relationships": [
              {
                "predicate": "matched_for_age",
                "target": "musicians with task-specific dystonia",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "representational similarity analysis",
            "entity_id": "representational_similarity_analysis",
            "entity_type": "method",
            "aliases": [],
            "attributes": {
              "purpose": "Assess the similarity between the activity patterns for different fingers. ",
              "reliability_in_S1": ">0.8 split-half reliability",
              "comparison": "more consistent than spatial metrics"
            },
            "relationships": [
              {
                "predicate": "used_in",
                "target": "fMRI study on Musician's dystonia",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "cross-validated Mahalanobis distance",
            "entity_id": "cross_validated_mahalanobis_distance",
            "entity_type": "measurement",
            "aliases": [],
            "attributes": {
              "purpose": "compute dissimilarity between each finger pair"
            },
            "relationships": [
              {
                "predicate": "used_for",
                "target": "analysis of S1 representation structure",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "hypothesis of altered finger map",
            "entity_id": "hypothesis_of_altered_finger_map",
            "entity_type": "concept",
            "aliases": [],
            "attributes": {
              "prediction": "altered similarity structure of underlying patterns",
              "specific_prediction": "decreasing dissimilarity of patterns of affected fingers due to increasing overlap and fusion"
            },
            "relationships": [
              {
                "predicate": "alternative_explanation_if_preserved",
                "target": "task-specific dystonia due to alterations in other areas",
                "attributes": {},
                "target_id": null
              }
            ]
          }
        ],
        "source": {
          "chunk_index": 2,
          "start_word": 943,
          "end_word": 1426,
          "word_count": 483,
          "sha256": "ed633e015bb8769f1d72b380af253236e4f87f8ee918f42ac3c066ba951c4448",
          "sentence_minhash": [
            103524869278618013,
            1306423125707224,
            110182565901905120,
            66655718784952673,
            100766811369295027,
            62667647458868521,
            99359698575653691,
            67257714571907172,
            113198931733945138,
            71236713388541700,
            120833680685463289,
            62546183844771624,
            8649321992247620,
            131714332375868301,
            73860429008392155,
            198340007471895508
          ]
        },
        "extraction_warnings": [
          "normalized unsupported entity type 'group' for 'musicians with task-specific dystonia'",
          "normalized unsupported entity type 'group' for 'healthy control group'"
        ]
      },
      {
        "chunk_index": 3,
        "context_summary": "The study analyzed fMRI data from nine musicians with dystonia and nine healthy controls to compare finger-specific activity patterns in the primary sensorimotor cortex. Two patients were excluded due to anxiety, leaving a balanced cohort for the analysis. The experimental protocol involved passive and active finger movements, with the primary results reported for the passive condition to avoid motor confounds.",
        "entities": [
          {
            "name": "fMRI experiment on finger-specific activity",
            "entity_id": "fmri_experiment_on_finger_specific_activity",
            "entity_type": "method",
            "aliases": [],
            "attributes": {
              "scanner": "Siemens 3T TRIO MRI scanner",
              "coil": "32-channel head coil",
              "signal_measured": "blood-oxygen-level dependent (BOLD) responses",
              "participants_analyzed": "9 musicians with dystonia, 9 healthy musicians",
              "excluded_participants": "2 patients due to anxiety/claustrophobia"
            },
            "relationships": [
              {
                "predicate": "measured_in",
                "target": "primary sensorimotor cortex (S1)",
                "attributes": {},
                "target_id": null
              },
              {
                "predicate": "compared_groups",
                "target": "musicians with dystonia vs healthy musicians",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "fMRI compatible device",
            "entity_id": "fmri_compatible_device",
            "entity_type": "other",
            "aliases": [],
            "attributes": {
              "description": "five piano-style keys with small grooved circular platforms",
              "function": "Individually lift and passively move each finger, and measure and record the individual forces exerted by each finger. "
            },
            "relationships": [
              {
                "predicate": "used_for",
                "target": "passive finger extension",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "passive movement condition",
            "entity_id": "passive_movement_condition",
            "entity_type": "method",
            "aliases": [],
            "attributes": {
              "mechanism": "pneumatic piston raises circular platform",
              "extension_distance": "~15mm",
              "trial_structure": "indicated finger lifted 6 times for 1 sec with pauses",
              "total_trial_length": "10.5s",
              "instruction": "Relax your fingers in both hands while resting. "
            },
            "relationships": [
              {
                "predicate": "preferred_for_analysis",
                "target": "primary results",
                "attributes": {
                  "reason": "no motor behavioural confounds"
                },
                "target_id": null
              },
              {
                "predicate": "visual_cue",
                "target": "red star",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "active movement condition",
            "entity_id": "active_movement_condition",
            "entity_type": "method",
            "aliases": [],
            "attributes": {
              "action": "individuated finger presses with left and right hands",
              "force_required": "2.3N",
              "trial_structure": "6 presses, total trial length approximately 10.68s",
              "go_cue": "green letter 'p'"
            },
            "relationships": [
              {
                "predicate": "visual_cue",
                "target": "green star",
                "attributes": {},
                "target_id": null
              },
              {
                "predicate": "analysis_result",
                "target": "no difference between groups",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "rest condition",
            "entity_id": "rest_condition",
            "entity_type": "method",
            "aliases": [],
            "attributes": {
              "instruction": "relax fingers in both hands"
            },
            "relationships": [
              {
                "predicate": "visual_cue",
                "target": "white star",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "primary sensorimotor cortex (S1)",
            "entity_id": "primary_sensorimotor_cortex_s1",
            "entity_type": "place",
            "aliases": [],
            "attributes": {
              "finding": "Architecture that reflects the difference between patients and the control group. "
            },
            "relationships": [
              {
                "predicate": "site_of_measurement",
                "target": "fMRI experiment on finger-specific activity",
                "attributes": {},
                "target_id": null
              }
            ]
          }
        ],
        "source": {
          "chunk_index": 3,
          "start_word": 1426,
          "end_word": 1882,
          "word_count": 456,
          "sha256": "c9dd243c0af1e3a76ad4320d6497215dfb36c66497fcf24b3e095b7a570412b5",
          "sentence_minhash": [
            238135178774097567,
            18551641988871988,
            116314400368988978,
            66655718784952673,
            34249088398280546,
            224593560600374663,
            7726835522131242,
            259895811711960829,
            74462327042166113,
            35062189116939919,
            128047967744972732,
            77272953743708039,
            63656278488967776,
            906306679132868,
            84258266176112060,
            117472307714712089
          ]
        },
        "extraction_warnings": []
      },
      {
        "chunk_index": 4,
        "context_summary": "The study employed a specific fMRI acquisition protocol involving pseudo-random finger movements and rest periods, with detailed imaging parameters for functional and anatomical scans. Data preprocessing included standard corrections and surface reconstruction using Freesurfer to map cortical areas. Regions of interest for primary motor and somatosensory cortices were defined based on cyto-architectonic maps, excluding Brodmann areas 1 and 2 to ensure clear finger representation organization.",
        "entities": [
          {
            "name": "fMRI acquisition protocol",
            "entity_id": "fmri_acquisition_protocol",
            "entity_type": "method",
            "aliases": [],
            "attributes": {
              "trial_selection": "pseudo-random order",
              "active_conditions": "10 (2 hands x 5 fingers)",
              "passive_conditions": "5 (right hand only)",
              "rest_conditions": "3-5 per run",
              "rest_durations": "14.9s, 25.5s, or 36.1s",
              "images_per_run": 126,
              "inplane_resolution": "2.3mm x 2.3mm",
              "sequence_type": "2D echo-planar",
              "repetition_time": "2.72s",
              "slice_count": 32,
              "slice_thickness": "2.15mm",
              "slice_gap": "0.15mm",
              "matrix_size": "96x96",
              "discarded_images": "first 3"
            },
            "relationships": [
              {
                "predicate": "includes",
                "target": "field maps for inhomogeneity correction",
                "attributes": {},
                "target_id": null
              },
              {
                "predicate": "includes",
                "target": "T1-weighted anatomical scan",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "T1-weighted anatomical scan",
            "entity_id": "t1_weighted_anatomical_scan",
            "entity_type": "measurement",
            "aliases": [],
            "attributes": {
              "sequence_type": "3D gradient echo",
              "resolution": "1 mm isotropic",
              "field_of_view": "240 x 256 x 176mm"
            },
            "relationships": [
              {
                "predicate": "used_for",
                "target": "surface reconstruction",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "SPM tools",
            "entity_id": "spm_tools",
            "entity_type": "method",
            "aliases": [],
            "attributes": {},
            "relationships": [
              {
                "predicate": "used_for",
                "target": "minimal preprocessing",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "preprocessing pipeline",
            "entity_id": "preprocessing_pipeline",
            "entity_type": "method",
            "aliases": [],
            "attributes": {
              "steps": "slice timing correction, realignment for head motion, co-registration to T1-image"
            },
            "relationships": [
              {
                "predicate": "uses",
                "target": "SPM tools",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "generalised linear model analysis",
            "entity_id": "generalised_linear_model_analysis",
            "entity_type": "method",
            "aliases": [],
            "attributes": {
              "regressors": "separate for each trial condition/finger/run",
              "activation_model": "boxcar function (duration=8.7s) convolved with standard hemodynamic response function",
              "contrast_metric": "t-value for condition>rest contrast"
            },
            "relationships": [
              {
                "predicate": "applied_to",
                "target": "pre-processed functional data",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "Freesurfer",
            "entity_id": "freesurfer",
            "entity_type": "method",
            "aliases": [],
            "attributes": {},
            "relationships": [
              {
                "predicate": "used_for",
                "target": "reconstruction of pial and white-grey matter surfaces",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "surface registration",
            "entity_id": "surface_registration",
            "entity_type": "method",
            "aliases": [],
            "attributes": {
              "template": "fsaverage",
              "minimisation_criteria": "sulcal-depth map and local curvature"
            },
            "relationships": [
              {
                "predicate": "applied_to",
                "target": "inflated individual surfaces",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "primary motor cortex (M1) ROI",
            "entity_id": "primary_motor_cortex_m1_roi",
            "entity_type": "concept",
            "aliases": [],
            "attributes": {
              "definition_basis": "probabilistic cyto-architectonic maps",
              "brodmann_area": "BA 4",
              "spatial_extent": "1.5cm above and below hand-knob"
            },
            "relationships": [
              {
                "predicate": "excludes",
                "target": "voxels with >25% volume on opposite side of central sulcus",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "primary somatosensory cortex (S1) ROI",
            "entity_id": "primary_somatosensory_cortex_s1_roi",
            "entity_type": "concept",
            "aliases": [],
            "attributes": {
              "definition_basis": "probabilistic cyto-architectonic maps",
              "brodmann_areas": "BA 3a and 3b",
              "spatial_extent": "1.5cm above and below hand knob"
            },
            "relationships": [
              {
                "predicate": "excludes",
                "target": "voxels with >25% volume on opposite side of central sulcus",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "Brodmann areas 1 and 2",
            "entity_id": "brodmann_areas_1_and_2",
            "entity_type": "concept",
            "aliases": [],
            "attributes": {
              "exclusion_reason": "finger representations tend to be more overlapping and less clearly organised"
            },
            "relationships": [
              {
                "predicate": "excluded_from",
                "target": "ROI definition",
                "attributes": {},
                "target_id": null
              }
            ]
          }
        ],
        "source": {
          "chunk_index": 4,
          "start_word": 1882,
          "end_word": 2377,
          "word_count": 495,
          "sha256": "5bf1696ccd13c4701675d85c43f3db771995ad01b6e249917c427a7b9277570d",
          "sentence_minhash": [
            78394354238995921,
            24905490170095690,
            69729176314767099,
            61919449716151556,
            73459400946278211,
            6742049205051262,
            46992937528651961,
            96292850158067112,
            74462327042166113,
            59300684974747015,
            78280491562202942,
            165121444977496021,
            63656278488967776,
            47412694742625906,
            28143888679166800,
            2988186798456605
          ]
        },
        "extraction_warnings": []
      },
      {
        "chunk_index": 5,
        "context_summary": "The study aimed to verify if finger representations in the primary sensorimotor cortex are spatially compressed in musicians with dystonia by analyzing passive right-hand movements. Researchers applied multiple spatial metrics, including peak activation, center of gravity, and softmax-weighted coordinates, to map finger locations on flattened cortical surfaces. Statistical comparisons of these spatial layouts between patient and control groups were conducted using MANOVA and t-tests on Euclidean distances.",
        "entities": [
          {
            "name": "spatial compression hypothesis",
            "entity_id": "spatial_compression_hypothesis",
            "entity_type": "concept",
            "aliases": [],
            "attributes": {
              "description": "Previous studies reported significantly reduced spatial distances between finger representations in dystonia"
            },
            "relationships": [
              {
                "predicate": "motivated",
                "target": "fMRI study on Musician's dystonia",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "primary sensorimotor cortex (S1 and M1)",
            "entity_id": "primary_sensorimotor_cortex_s1_and_m1",
            "entity_type": "place",
            "aliases": [],
            "attributes": {
              "specific_regions": "BA3a, BA3b (S1) and BA4 (M1)"
            },
            "relationships": [
              {
                "predicate": "analyzed_for",
                "target": "activity pattern of passive right-hand finger movements",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "passive right-hand finger movements",
            "entity_id": "passive_right_hand_finger_movements",
            "entity_type": "event",
            "aliases": [],
            "attributes": {
              "hand": "right",
              "symptomatic_status": "symptomatic in musician's dystonia"
            },
            "relationships": [
              {
                "predicate": "generated",
                "target": "activity maps",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "maximal activity location method",
            "entity_id": "maximal_activity_location_method",
            "entity_type": "method",
            "aliases": [],
            "attributes": {
              "description": "Uses the location of maximal activity for each finger within the predefined ROI"
            },
            "relationships": [
              {
                "predicate": "part_of",
                "target": "spatial layout analysis",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "center of gravity (COG) method",
            "entity_id": "center_of_gravity_cog_method",
            "entity_type": "method",
            "aliases": [],
            "attributes": {
              "description": "Calculates the average x and y positions of the surface points, with weighting based on the t-values (only positive activations are considered, negative values are set to 0). "
            },
            "relationships": [
              {
                "predicate": "part_of",
                "target": "spatial layout analysis",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "softmax-weighted COG method",
            "entity_id": "softmax_weighted_cog_method",
            "entity_type": "method",
            "aliases": [],
            "attributes": {
              "weighting_function": "exp(k*t_i) / sum(exp(k*t_i))",
              "parameter_k_values": "0.05, 0.1, 0.2, 0.4, 0.8, 1.6, 3.2",
              "behavior_at_k_0": "Equivalent to standard COG of entire ROI",
              "behavior_at_k_infinity": "Equivalent to maximal activation location"
            },
            "relationships": [
              {
                "predicate": "part_of",
                "target": "spatial layout analysis",
                "attributes": {},
                "target_id": null
              },
              {
                "predicate": "interpolates_between",
                "target": "maximal activity location method and center of gravity (COG) method",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "MANOVA analysis",
            "entity_id": "manova_analysis",
            "entity_type": "method",
            "aliases": [],
            "attributes": {
              "dependent_measures": "X and Y coordinates for each finger ",
              "purpose": "Assess ability of metrics to reveal somatotopic ordering and test for systematic differences between spatial locations of finger pairs"
            },
            "relationships": [
              {
                "predicate": "applied_to",
                "target": "spatial layout analysis",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "Euclidean distance comparison",
            "entity_id": "euclidean_distance_comparison",
            "entity_type": "method",
            "aliases": [],
            "attributes": {
              "calculation": "Distance between 10 possible pairs of digits",
              "statistical_test": "Student t-test for independent samples on average distance between groups"
            },
            "relationships": [
              {
                "predicate": "tests",
                "target": "group differences in spatial layout of digit representations",
                "attributes": {},
                "target_id": null
              }
            ]
          }
        ],
        "source": {
          "chunk_index": 5,
          "start_word": 2377,
          "end_word": 2837,
          "word_count": 460,
          "sha256": "0d1afaeec93ae32ceb294cf54e8ae8941e3d5a37d4c4d6bd635368e3508ee678",
          "sentence_minhash": [
            84989070151237717,
            18551641988871988,
            140583634530242717,
            64513941377847126,
            117184690827267154,
            120624748091028973,
            99359698575653691,
            125414594280765941,
            96635883400075078,
            9462436175016187,
            19416574622547768,
            49775578613387123,
            21933493368060407,
            58558631451210278,
            205103167876338220,
            575522937917065544
          ]
        },
        "extraction_warnings": []
      },
      {
        "chunk_index": 6,
        "context_summary": "The study utilized representational similarity analysis and surface-based searchlight methods to quantify finger representations in the primary sensorimotor cortex. Cross-validated Mahalanobis distances were calculated to assess pattern dissimilarity, while searchlight analysis mapped digit information across cortical surfaces. Statistical comparisons between groups were performed using ANOVA, t-tests, and Gaussian Field map correction.",
        "entities": [
          {
            "name": "representational similarity analysis",
            "entity_id": "representational_similarity_analysis",
            "entity_type": "method",
            "aliases": [],
            "attributes": {
              "purpose": "assess similarity between activity patterns ignoring spatial arrangement",
              "alternative_to": "spatial measures of finger representations"
            },
            "relationships": [
              {
                "predicate": "uses",
                "target": "cross-validated Mahalanobis distance",
                "attributes": {},
                "target_id": null
              },
              {
                "predicate": "extracts",
                "target": "beta-weights from generalised linear model",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "cross-validated Mahalanobis distance",
            "entity_id": "cross_validated_mahalanobis_distance",
            "entity_type": "measurement",
            "aliases": [],
            "attributes": {
              "calculation_basis": "dissimilarity between activation patterns for finger pairs",
              "covariance_matrix_regularization": "shrinking off-diagonal elements towards zero",
              "unbiased_property": "expected value is zero if patterns are not different"
            },
            "relationships": [
              {
                "predicate": "computed_from",
                "target": "residual from first-level model",
                "attributes": {},
                "target_id": null
              },
              {
                "predicate": "applied_to",
                "target": "10 pairwise combinations of fingers",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "surface-based searchlight analysis",
            "entity_id": "surface_based_searchlight_analysis",
            "entity_type": "method",
            "aliases": [],
            "attributes": {
              "purpose": "detect differences in location or spatial extent of digit representation",
              "searchlight_definition": "circle on surface containing 60 voxels between pial and white-matter surface"
            },
            "relationships": [
              {
                "predicate": "computes",
                "target": "average cross-validated Mahalanobis distance",
                "attributes": {},
                "target_id": null
              },
              {
                "predicate": "maps_to",
                "target": "node in the centre of the searchlight",
                "attributes": {},
                "target_id": null
              },
              {
                "predicate": "compares_maps_using",
                "target": "t-test for independent samples",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "statistical analysis of finger representations",
            "entity_id": "statistical_analysis_of_finger_representations",
            "entity_type": "method",
            "aliases": [],
            "attributes": {
              "spatial_layout_test": "repeated measures ANOVA with group x digit pair interaction",
              "searchlight_threshold": "uncorrected t15= 3.2860, p<0.005",
              "correction_method": "Gaussian Field map correction for cluster size"
            },
            "relationships": [
              {
                "predicate": "evaluates",
                "target": "relative spatial layout",
                "attributes": {},
                "target_id": null
              },
              {
                "predicate": "visualizes_using",
                "target": "classical multi-dimensional scaling",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "primary sensorimotor cortex",
            "entity_id": "primary_sensorimotor_cortex",
            "entity_type": "place",
            "aliases": [],
            "attributes": {
              "regions_of_interest": "S1 and M1"
            },
            "relationships": [
              {
                "predicate": "measured_via",
                "target": "high-resolution fMRI",
                "attributes": {},
                "target_id": null
              },
              {
                "predicate": "stimulation_conditions",
                "target": "passive stimulation and active finger presses",
                "attributes": {},
                "target_id": null
              }
            ]
          }
        ],
        "source": {
          "chunk_index": 6,
          "start_word": 2837,
          "end_word": 3319,
          "word_count": 482,
          "sha256": "1fee82fcf8bbd413cdd7c2e37228261c00ff01ddb8d97c86d9dcf4ebcd82250a",
          "sentence_minhash": [
            255494821542092551,
            1306423125707224,
            41776060060441492,
            34103808509324220,
            50154285776315358,
            224573928210932895,
            99359698575653691,
            152326886699586849,
            14843078887968375,
            107048872566759164,
            19416574622547768,
            49775578613387123,
            21933493368060407,
            132529644835130180,
            162504846606578453,
            2988186798456605
          ]
        },
        "extraction_warnings": []
      },
      {
        "chunk_index": 7,
        "context_summary": "The study evaluated spatial and multivariate methods to characterize finger representations in the primary sensorimotor cortex, noting substantial overlap and individual variability in activation patterns. Spatial metrics like center of gravity and maximum activation showed low reliability, whereas a softmax-weighted approach with k=0.8 provided the best compromise. Multivariate pattern analysis using cross-validated Mahalanobis distances demonstrated significantly higher reliability than spatial measures, revealing a consistent dissimilarity structure where thumb and ring fingers were most distinct.",
        "entities": [
          {
            "name": "finger-specific activity patterns",
            "entity_id": "finger_specific_activity_patterns",
            "entity_type": "measurement",
            "aliases": [],
            "attributes": {
              "distribution": "substantial overlap between fingers",
              "variability": "substantial across individuals",
              "location": "pre- and post-central gyrus"
            },
            "relationships": [
              {
                "predicate": "observed_in",
                "target": "healthy musicians",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "location of maximal activation",
            "entity_id": "location_of_maximal_activation",
            "entity_type": "method",
            "aliases": [],
            "attributes": {
              "reliability_S1": "around 0.4",
              "reliability_M1": "around 0.3",
              "reliability_type": "split-half"
            },
            "relationships": [
              {
                "predicate": "used_to_characterize",
                "target": "digit representations in S1 and M1",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "centre of gravity (COG) method",
            "entity_id": "centre_of_gravity_cog_method",
            "entity_type": "method",
            "aliases": [],
            "attributes": {
              "weighting": "weighted by size of activation",
              "reliability_S1": "around 0.4",
              "reliability_M1": "around 0.3",
              "reliability_type": "split-half"
            },
            "relationships": [
              {
                "predicate": "used_to_characterize",
                "target": "digit representations in S1 and M1",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "softmax approach",
            "entity_id": "softmax_approach",
            "entity_type": "method",
            "aliases": [],
            "attributes": {
              "parameter_k": "0.8",
              "function": "trade-off between entire activated regions and most active regions",
              "reliability": "best among spatial metrics"
            },
            "relationships": [
              {
                "predicate": "selected_for",
                "target": "subsequent spatial analyses",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "cross-validated Mahalanobis distances",
            "entity_id": "cross_validated_mahalanobis_distances",
            "entity_type": "measurement",
            "aliases": [],
            "attributes": {
              "reliability": "above 0.8",
              "reliability_comparison": "significantly higher than spatial measures",
              "stimulation_type": "passive stimulation of right hand fingers"
            },
            "relationships": [
              {
                "predicate": "used_in",
                "target": "multivariate pattern analysis",
                "attributes": {},
                "target_id": null
              },
              {
                "predicate": "quantifies",
                "target": "finger representations",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "finger representation dissimilarity structure",
            "entity_id": "finger_representation_dissimilarity_structure",
            "entity_type": "concept",
            "aliases": [],
            "attributes": {
              "largest_dissimilarity": "thumb and ring fingers",
              "smallest_dissimilarity": "middle and ring fingers"
            },
            "relationships": [
              {
                "predicate": "visualized_via",
                "target": "multidimensional scaling",
                "attributes": {},
                "target_id": null
              },
              {
                "predicate": "consistent_across",
                "target": "controls and patients",
                "attributes": {},
                "target_id": null
              }
            ]
          }
        ],
        "source": {
          "chunk_index": 7,
          "start_word": 3319,
          "end_word": 3797,
          "word_count": 478,
          "sha256": "d9a3e5b278ea554b0de652347819313850c3195f9851718132002b5938b30bca",
          "sentence_minhash": [
            78394354238995921,
            1306423125707224,
            115461717461310760,
            64513941377847126,
            50154285776315358,
            143618200413190815,
            46992937528651961,
            125414594280765941,
            64333332902950267,
            76931577636070685,
            83948604433947092,
            62546183844771624,
            21933493368060407,
            81814836679824133,
            169401128176801393,
            29303900541918447
          ]
        },
        "extraction_warnings": []
      },
      {
        "chunk_index": 8,
        "context_summary": "The study found no significant differences in finger representation metrics between musicians with dystonia and healthy controls, contradicting the hypothesis of somatotopic distortion in primary sensorimotor cortex. The authors propose that task-specific dystonia is encoded in a hierarchical skill network rather than generic hand maps. Limitations of previous primate models and methodological challenges in measuring overlapping activation patterns are discussed.",
        "entities": [
          {
            "name": "fMRI study on Musician's dystonia",
            "entity_id": "fmri_study_on_musician_s_dystonia",
            "entity_type": "event",
            "aliases": [],
            "attributes": {
              "finding": "No significant difference in RSA dissimilarities or spatial shifts between groups",
              "conclusion": "No changes were observed in the basic representation of fingers in the primary sensorimotor cortex. "
            },
            "relationships": [
              {
                "predicate": "contradicts",
                "target": "hypothesis of abnormal finger representations in primary sensorimotor cortex",
                "attributes": {},
                "target_id": null
              },
              {
                "predicate": "supports",
                "target": "hierarchical skill network hypothesis",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "hierarchical skill network",
            "entity_id": "hierarchical_skill_network",
            "entity_type": "concept",
            "aliases": [],
            "attributes": {
              "role": "Proposed encoding site for task-specific dystonia"
            },
            "relationships": [
              {
                "predicate": "impacts",
                "target": "rehabilitation strategy design",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "primate model of task-specific dystonia",
            "entity_id": "primate_model_of_task_specific_dystonia",
            "entity_type": "method",
            "aliases": [],
            "attributes": {
              "paradigm": "Repetitive whole hand grasping movements",
              "limitation": "Does not mimic fractionated individual finger movements of musical performance"
            },
            "relationships": [
              {
                "predicate": "provided_original_evidence_for",
                "target": "somatotopic disruption in task-specific dystonia",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "primary somatosensory cortex (S1)",
            "entity_id": "primary_somatosensory_cortex_s1",
            "entity_type": "place",
            "aliases": [],
            "attributes": {
              "status_in_dystonia": "No evidence of altered or distorted finger representations"
            },
            "relationships": [
              {
                "predicate": "contains",
                "target": "hand area",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "primary motor cortex (M1)",
            "entity_id": "primary_motor_cortex_m1",
            "entity_type": "place",
            "aliases": [],
            "attributes": {
              "status_in_dystonia": "No evidence of altered or distorted finger representations"
            },
            "relationships": [
              {
                "predicate": "contains",
                "target": "hand area",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "somatotopic disruption model",
            "entity_id": "somatotopic_disruption_model",
            "entity_type": "concept",
            "aliases": [],
            "attributes": {
              "status": "Challenged by current findings",
              "conceptual_issue": "Difficult to define how abnormal S1 maps translate into task-specific motor deficits"
            },
            "relationships": [
              {
                "predicate": "supported_by",
                "target": "primate model of task-specific dystonia",
                "attributes": {},
                "target_id": null
              }
            ]
          }
        ],
        "source": {
          "chunk_index": 8,
          "start_word": 3797,
          "end_word": 4274,
          "word_count": 477,
          "sha256": "46668f87f6ce722ec368436aad7be7b1badf2e576f340090a7e70f58e9216d96",
          "sentence_minhash": [
            10893342914538609,
            1306423125707224,
            140583634530242717,
            66655718784952673,
            5648917133444430,
            99436724310786061,
            23718652799488495,
            180608800321290621,
            90642800655838184,
            17444917348060025,
            19416574622547768,
            11317338413054220,
            8649321992247620,
            47412694742625906,
            98254322503569589,
            69242845566341429
          ]
        },
        "extraction_warnings": []
      },
      {
        "chunk_index": 9,
        "context_summary": "Spatial metrics for finger maps showed low reliability in healthy musicians, whereas representational similarity analysis demonstrated high robustness. Both passive and active finger tasks elicited similar activity in primary sensorimotor cortex without revealing architectural changes in dystonic patients. The findings suggest that task-specific dystonia involves disruptions in higher-order premotor and parietal areas responsible for sequence encoding, rather than primary digit maps.",
        "entities": [
          {
            "name": "spatial centre-of-gravity and location-of-maximal-activation metrics",
            "entity_id": "spatial_centre_of_gravity_and_location_of_maximal_activation_metrics",
            "entity_type": "method",
            "aliases": [],
            "attributes": {
              "reliability": "low within and across healthy musicians",
              "outcome": "failed to reveal invariant organisation of finger maps"
            },
            "relationships": [
              {
                "predicate": "considered_overoptimistic_for",
                "target": "revealing systematic deviations in task-specific dystonia",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "representational similarity analysis",
            "entity_id": "representational_similarity_analysis",
            "entity_type": "method",
            "aliases": [],
            "attributes": {
              "robustness": "very resilient, both within and between individuals "
            },
            "relationships": [
              {
                "predicate": "uncovered",
                "target": "finger representations",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "passive finger lift condition",
            "entity_id": "passive_finger_lift_condition",
            "entity_type": "other",
            "aliases": [],
            "attributes": {
              "focus": "Proprioceptive information related to finger movements ",
              "model_entity_type": "experimental_condition"
            },
            "relationships": [
              {
                "predicate": "elicited_similar_activity_in",
                "target": "primary sensorimotor cortex",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "active finger press condition",
            "entity_id": "active_finger_press_condition",
            "entity_type": "other",
            "aliases": [],
            "attributes": {
              "focus": "muscle activation patterns during near isometric finger presses",
              "model_entity_type": "experimental_condition"
            },
            "relationships": [
              {
                "predicate": "elicited_similar_activity_in",
                "target": "primary sensorimotor cortex",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "primary sensorimotor cortex",
            "entity_id": "primary_sensorimotor_cortex",
            "entity_type": "other",
            "aliases": [],
            "attributes": {
              "status_in_dystonia": "neural architecture of basic digit representation is intact",
              "model_entity_type": "anatomical_region"
            },
            "relationships": [
              {
                "predicate": "represents",
                "target": "individual movements",
                "attributes": {},
                "target_id": null
              },
              {
                "predicate": "excluded_from_explanation_of",
                "target": "task-specific dystonia phenomenology",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "premotor and parietal cortices",
            "entity_id": "premotor_and_parietal_cortices",
            "entity_type": "other",
            "aliases": [],
            "attributes": {
              "function": "encode movement sequences as chunks or longer sequences",
              "model_entity_type": "anatomical_region"
            },
            "relationships": [
              {
                "predicate": "associated_with",
                "target": "stabilisation of sequence specific-activation patterns",
                "attributes": {},
                "target_id": null
              },
              {
                "predicate": "proposed_site_of_disruption",
                "target": "task-specific dystonia",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "sequence learning study",
            "entity_id": "sequence_learning_study",
            "entity_type": "event",
            "aliases": [],
            "attributes": {
              "duration": "five weeks",
              "scans": "four interval scans",
              "outcome": "participants became faster and more accurate"
            },
            "relationships": [
              {
                "predicate": "associated_with",
                "target": "stabilisation of sequence specific-activation patterns in premotor and parietal areas",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "task-specific dystonia",
            "entity_id": "task_specific_dystonia",
            "entity_type": "other",
            "aliases": [],
            "attributes": {
              "etiology_suggestion": "Common neural weaknesses at the group level ",
              "risk_factors": "over-trained skills with extended planning horizons and narrow generalization capacity",
              "model_entity_type": "condition"
            },
            "relationships": [
              {
                "predicate": "explained_by",
                "target": "disruption in higher-order task-specific networks",
                "attributes": {},
                "target_id": null
              },
              {
                "predicate": "requires_further_investigation_of",
                "target": "aetiology and disruption of representations",
                "attributes": {},
                "target_id": null
              }
            ]
          }
        ],
        "source": {
          "chunk_index": 9,
          "start_word": 4274,
          "end_word": 4752,
          "word_count": 478,
          "sha256": "07c85191206aaa5ced9c5c9ad2e1d25b504e47634cc22e2f1add62165ec82044",
          "sentence_minhash": [
            238135178774097567,
            1306423125707224,
            114472042057979973,
            53442166147602330,
            60043449279178472,
            99436724310786061,
            99359698575653691,
            85939067702942344,
            226229641291464106,
            42586453371797899,
            28738078860773612,
            78971741699059804,
            8649321992247620,
            132529644835130180,
            320683728421291519,
            75920472621232901
          ]
        },
        "extraction_warnings": [
          "normalized unsupported entity type 'experimental_condition' for 'passive finger lift condition'",
          "normalized unsupported entity type 'experimental_condition' for 'active finger press condition'",
          "normalized unsupported entity type 'anatomical_region' for 'primary sensorimotor cortex'",
          "normalized unsupported entity type 'anatomical_region' for 'premotor and parietal cortices'",
          "normalized unsupported entity type 'condition' for 'task-specific dystonia'"
        ]
      },
      {
        "chunk_index": 10,
        "context_summary": "The text argues that task-specific dystonia involves a hierarchical network where higher-order premotor and parietal areas encode complex sequences, while primary cortices maintain intact basic finger representations. This view supports therapeutic interventions targeting task-specific sensorimotor skills rather than sensory remapping, though the study's null result is limited by sample size and task specificity.",
        "entities": [
          {
            "name": "task-specific dystonia",
            "entity_id": "task_specific_dystonia",
            "entity_type": "concept",
            "aliases": [],
            "attributes": {
              "neural_association": "changes across a broad network",
              "cortical_involvement": "greater involvement of sensorimotor cortical areas compared to other dystonia subtypes"
            },
            "relationships": [
              {
                "predicate": "involves",
                "target": "premotor and parietal cortex",
                "attributes": {},
                "target_id": null
              },
              {
                "predicate": "treated_by",
                "target": "task-specific sensorimotor interventions",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "hierarchical skill network",
            "entity_id": "hierarchical_skill_network",
            "entity_type": "concept",
            "aliases": [],
            "attributes": {
              "structure": "sequences and chunks activate elementary movement components",
              "example_chunking": "4-2-3 for piano, 3-3-3 for keyboard"
            },
            "relationships": [
              {
                "predicate": "represented_in",
                "target": "premotor and parietal cortex",
                "attributes": {},
                "target_id": null
              },
              {
                "predicate": "mechanism_for",
                "target": "task-specific deficit",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "premotor and parietal cortex",
            "entity_id": "premotor_and_parietal_cortex",
            "entity_type": "place",
            "aliases": [],
            "attributes": {
              "function": "representation of hierarchically complex chunks and sequences"
            },
            "relationships": [
              {
                "predicate": "overlaps_with",
                "target": "primary sensorimotor cortex",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "primary sensorimotor cortex",
            "entity_id": "primary_sensorimotor_cortex",
            "entity_type": "place",
            "aliases": [],
            "attributes": {
              "components": "M1 and S1",
              "representation_status": "intact for single fingers and passive lifts/active presses"
            },
            "relationships": [
              {
                "predicate": "represents",
                "target": "single fingers",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "sensory super-training",
            "entity_id": "sensory_super_training",
            "entity_type": "method",
            "aliases": [],
            "attributes": {
              "basis": "distorted somatotopy hypothesis",
              "goal": "Redesign and normalization of maps depicting dystonia in the fingers. ",
              "example": "learning braille"
            },
            "relationships": [
              {
                "predicate": "clinical_status",
                "target": "not widely used and not reliably effective",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "task-specific sensorimotor interventions",
            "entity_id": "task_specific_sensorimotor_interventions",
            "entity_type": "method",
            "aliases": [],
            "attributes": {
              "examples": "sensorimotor retraining, differential learning",
              "rationale": "intact neural representation of basic finger movements"
            },
            "relationships": [
              {
                "predicate": "encouraged_by",
                "target": "study findings",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "fMRI study limitations",
            "entity_id": "fmri_study_limitations",
            "entity_type": "concept",
            "aliases": [],
            "attributes": {
              "primary_limitation": "null result may be due to insufficient sample size or fMRI insensitivity",
              "statistical_challenge": "difficulty in Bayesian analysis or equivalence testing due to lack of effect size basis"
            },
            "relationships": [
              {
                "predicate": "mitigated_by",
                "target": "evaluation of unreliable previous methodologies",
                "attributes": {},
                "target_id": null
              }
            ]
          }
        ],
        "source": {
          "chunk_index": 10,
          "start_word": 4752,
          "end_word": 5247,
          "word_count": 495,
          "sha256": "ab18f60fb34d5b983d9857983c516f19d4f521ded3a825d4de5581596b6eda72",
          "sentence_minhash": [
            138742571471211904,
            1306423125707224,
            126934127144801416,
            53442166147602330,
            92046595192529395,
            43416815952622393,
            99359698575653691,
            43263063838171275,
            73319139196083834,
            43671598575492101,
            78280491562202942,
            11317338413054220,
            8649321992247620,
            47412694742625906,
            39604032099602259,
            169349085265771733
          ]
        },
        "extraction_warnings": []
      },
      {
        "chunk_index": 11,
        "context_summary": "Previous studies reporting altered somatic finger representations did not utilize tasks that induced dystonia. The current study found no evidence of abnormal finger representations in the primary sensorimotor cortex using fMRI and multivariate pattern analysis. These findings support the development of alternative disease models focused on novel therapeutic interventions.",
        "entities": [
          {
            "name": "previous studies on altered somatic finger representations",
            "entity_id": "previous_studies_on_altered_somatic_finger_representations",
            "entity_type": "other",
            "aliases": [],
            "attributes": {
              "task_usage": "did not use a task that generated dystonia",
              "model_entity_type": "research_studies"
            },
            "relationships": [
              {
                "predicate": "reported",
                "target": "altered somatic finger representations",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "distorted somatotopy model",
            "entity_id": "distorted_somatotopy_model",
            "entity_type": "concept",
            "aliases": [],
            "attributes": {
              "status": "identified shortfalls considered significant and valid"
            },
            "relationships": []
          },
          {
            "name": "fMRI and multivariate pattern analysis",
            "entity_id": "fmri_and_multivariate_pattern_analysis",
            "entity_type": "method",
            "aliases": [],
            "attributes": {},
            "relationships": [
              {
                "predicate": "found_no_evidence_of",
                "target": "abnormal finger representations in primary sensorimotor cortex",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "primary sensorimotor cortex",
            "entity_id": "primary_sensorimotor_cortex",
            "entity_type": "other",
            "aliases": [],
            "attributes": {
              "model_entity_type": "anatomical_structure"
            },
            "relationships": [
              {
                "predicate": "finger_representations_status",
                "target": "no evidence of abnormality",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "alternative disease models",
            "entity_id": "alternative_disease_models",
            "entity_type": "concept",
            "aliases": [],
            "attributes": {
              "core_focus": "advancement of novel therapeutic interventions"
            },
            "relationships": [
              {
                "predicate": "supported_by",
                "target": "study data",
                "attributes": {},
                "target_id": null
              }
            ]
          },
          {
            "name": "preprint status",
            "entity_id": "preprint_status",
            "entity_type": "other",
            "aliases": [],
            "attributes": {
              "peer_review_status": "not certified by peer review",
              "clinical_usage_restriction": "This should not be used as a guideline for clinical practice. "
            },
            "relationships": []
          }
        ],
        "source": {
          "chunk_index": 11,
          "start_word": 5247,
          "end_word": 5364,
          "word_count": 117,
          "sha256": "a9cb76762eefec976a323b6540ce30462bb7ad1ba420de2c4e98c7460e8f53f1",
          "sentence_minhash": [
            181534865310160414,
            1306423125707224,
            434926524258369661,
            66655718784952673,
            43714454960919411,
            375058714850574244,
            149017575652778032,
            295906451915772505,
            266927695903760850,
            107048872566759164,
            78280491562202942,
            78971741699059804,
            157018458019500101,
            707044337599109521,
            320556702413602850,
            4555549854558376
          ]
        },
        "extraction_warnings": [
          "normalized unsupported entity type 'research_studies' for 'previous studies on altered somatic finger representations'",
          "normalized unsupported entity type 'anatomical_structure' for 'primary sensorimotor cortex'"
        ]
      }
    ],
    "canonical_entities": []
  },
  "chunks_expected": 12,
  "chunks_generated": 12,
  "failed_chunks": [],
  "repair": {
    "accepted_windows": 19,
    "rolled_back": false,
    "original_context_sha256": "5f22a5bba64a5608d5eb8307634ee35933b0946ffdcff109d1a3a8eb06fe3c11",
    "final_context_sha256": "8cda66d9c337a84ee392154c40426ba8e6a9ffc13151920a3a537e5c40d317f1",
    "critical_values": {
      "passed": true,
      "checks": {
        "numbers": true,
        "quantities": true,
        "formulas": true,
        "mathematical_variables": true,
        "operators": true
      },
      "before": {
        "numbers": [
          "1",
          "2",
          "9",
          "9",
          "1E+1",
          "2E+1",
          "2E+1",
          "11",
          "1E+1",
          "49.9",
          "7.85",
          "9",
          "41",
          "14.54",
          "0.8",
          "32",
          "9",
          "9",
          "2",
          "15",
          "6",
          "1",
          "10.5",
          "6",
          "10.68",
          "1",
          "2",
          "1E+1",
          "2",
          "5",
          "5",
          "3",
          "5",
          "14.9",
          "25.5",
          "36.1",
          "126",
          "2.3",
          "2.3",
          "2.72",
          "32",
          "2.15",
          "0.15",
          "3",
          "1",
          "2.4E+2",
          "256",
          "176",
          "8.7",
          "4",
          "1.5",
          "25",
          "1.5",
          "25",
          "1",
          "2",
          "0",
          "0.05",
          "0.1",
          "0.2",
          "0.4",
          "0.8",
          "1.6",
          "3.2",
          "1E+1",
          "1E+1",
          "6E+1",
          "3.286",
          "0.005",
          "0.8",
          "0.4",
          "0.3",
          "0.4",
          "0.3",
          "0.8",
          "0.8",
          "4",
          "2",
          "3",
          "3",
          "3",
          "3"
        ],
        "quantities": [
          [
            "2",
            "%"
          ],
          [
            "15",
            "mm"
          ],
          [
            "1",
            "s"
          ],
          [
            "10.5",
            "s"
          ],
          [
            "10.68",
            "s"
          ],
          [
            "14.9",
            "s"
          ],
          [
            "25.5",
            "s"
          ],
          [
            "36.1",
            "s"
          ],
          [
            "2.3",
            "mm"
          ],
          [
            "2.3",
            "mm"
          ],
          [
            "2.72",
            "s"
          ],
          [
            "2.15",
            "mm"
          ],
          [
            "0.15",
            "mm"
          ],
          [
            "1",
            "mm"
          ],
          [
            "176",
            "mm"
          ],
          [
            "8.7",
            "s"
          ],
          [
            "1.5",
            "cm"
          ],
          [
            "25",
            "%"
          ],
          [
            "1.5",
            "cm"
          ],
          [
            "25",
            "%"
          ]
        ],
        "formulas": [
          "15=3.286",
          "chemical:BA4",
          "chemical:M1",
          "chemical:M1",
          "chemical:M1",
          "chemical:M1",
          "chemical:M1",
          "chemical:M1",
          "chemical:M1",
          "chemical:M1",
          "chemical:M1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:T1",
          "chemical:T1",
          "chemical:T1",
          "exp(k*t_i)",
          "exp(k*t_i)",
          "h>25",
          "h>25",
          "k*t_i",
          "k*t_i",
          "k=0.8",
          "n=8.7",
          "n>r",
          "p<0.005"
        ],
        "mathematical_variables": [
          "c_fingers_defined_by",
          "c_prediction",
          "c_regions",
          "c_status",
          "d_by",
          "d_by",
          "d_by",
          "d_by",
          "d_by",
          "d_by",
          "d_by",
          "d_by",
          "d_by_hypothesis",
          "d_for",
          "d_for",
          "d_for",
          "d_for",
          "d_for",
          "d_for",
          "d_for",
          "d_for",
          "d_for_age",
          "d_for_analysis",
          "d_from",
          "d_from",
          "d_from_explanation_of",
          "d_groups",
          "d_groups",
          "d_hypothesis",
          "d_images",
          "d_in",
          "d_in",
          "d_in",
          "d_in",
          "d_in",
          "d_in",
          "d_in",
          "d_metric",
          "d_no_evidence_of",
          "d_of_view",
          "d_original_evidence_for",
          "d_overoptimistic_for",
          "d_participants",
          "d_pathophysiology",
          "d_property",
          "d_similar_activity_in",
          "d_similar_activity_in",
          "d_site_of_disruption",
          "d_to",
          "d_to",
          "d_to",
          "d_to",
          "d_to_characterize",
          "d_to_characterize",
          "d_via",
          "d_via",
          "d_with",
          "d_with",
          "e_chunking",
          "e_conditions",
          "e_conditions",
          "e_count",
          "e_explanation_if_preserved",
          "e_focus",
          "e_gap",
          "e_in_professional_musicians",
          "e_matrix_regularization",
          "e_of_measurement",
          "e_required",
          "e_resolution",
          "e_sd",
          "e_sd",
          "e_thickness",
          "e_to",
          "e_type",
          "e_type",
          "g_function",
          "h_status",
          "h_studies",
          "k_factors",
          "k_usage",
          "l_association",
          "l_challenge",
          "l_condition",
          "l_condition",
          "l_cue",
          "l_cue",
          "l_cue",
          "l_entity_type",
          "l_entity_type",
          "l_entity_type",
          "l_entity_type",
          "l_entity_type",
          "l_entity_type",
          "l_entity_type",
          "l_entity_type",
          "l_entity_type",
          "l_entity_type",
          "l_entity_type",
          "l_entity_type",
          "l_entity_type",
          "l_entity_type",
          "l_extent",
          "l_extent",
          "l_features",
          "l_involvement",
          "l_issue",
          "l_layout_test",
          "l_measured",
          "l_region",
          "l_region",
          "l_selection",
          "l_status",
          "l_structure",
          "l_structure",
          "l_structure",
          "l_structure",
          "l_test",
          "l_trial_length",
          "l_usage_restriction",
          "m_for",
          "m_location",
          "n_age",
          "n_age",
          "n_area",
          "n_areas",
          "n_basis",
          "n_basis",
          "n_basis",
          "n_conditions",
          "n_criteria",
          "n_criteria",
          "n_distance",
          "n_method",
          "n_model",
          "n_reason",
          "n_status",
          "n_time",
          "n_type",
          "o_cue",
          "r_at_k_0",
          "r_at_k_infinity",
          "r_k",
          "r_k_values",
          "r_representations_status",
          "r_review_status",
          "s_a_form_of",
          "s_analyzed",
          "s_between",
          "s_confirmation",
          "s_further_investigation_of",
          "s_in_dystonia",
          "s_in_dystonia",
          "s_in_dystonia",
          "s_maps_using",
          "s_methods",
          "s_of_interest",
          "s_per_run",
          "s_result",
          "s_to",
          "s_to_explain",
          "s_using",
          "s_with",
          "t_across",
          "t_conditions",
          "t_count",
          "t_definition",
          "t_dictated_by",
          "t_dissimilarity",
          "t_dissimilarity",
          "t_durations",
          "t_explained_by",
          "t_i",
          "t_i",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_measures",
          "t_metric",
          "t_of",
          "t_of",
          "t_of",
          "t_of",
          "t_of_hypothesis",
          "t_sources",
          "t_summary",
          "t_summary",
          "t_summary",
          "t_summary",
          "t_summary",
          "t_summary",
          "t_summary",
          "t_summary",
          "t_summary",
          "t_summary",
          "t_summary",
          "t_summary",
          "t_threshold",
          "t_type",
          "x_size",
          "y_M1",
          "y_M1",
          "y_S1",
          "y_S1",
          "y_comparison",
          "y_in_S1",
          "y_limitation",
          "y_scale",
          "y_suggestion",
          "y_type",
          "y_type"
        ],
        "operators": [
          ">",
          "=",
          ">",
          ">",
          ">",
          "=",
          "<",
          "="
        ]
      },
      "after": {
        "numbers": [
          "1",
          "2",
          "9",
          "9",
          "1E+1",
          "2E+1",
          "2E+1",
          "11",
          "1E+1",
          "49.9",
          "7.85",
          "9",
          "41",
          "14.54",
          "0.8",
          "32",
          "9",
          "9",
          "2",
          "15",
          "6",
          "1",
          "10.5",
          "6",
          "10.68",
          "1",
          "2",
          "1E+1",
          "2",
          "5",
          "5",
          "3",
          "5",
          "14.9",
          "25.5",
          "36.1",
          "126",
          "2.3",
          "2.3",
          "2.72",
          "32",
          "2.15",
          "0.15",
          "3",
          "1",
          "2.4E+2",
          "256",
          "176",
          "8.7",
          "4",
          "1.5",
          "25",
          "1.5",
          "25",
          "1",
          "2",
          "0",
          "0.05",
          "0.1",
          "0.2",
          "0.4",
          "0.8",
          "1.6",
          "3.2",
          "1E+1",
          "1E+1",
          "6E+1",
          "3.286",
          "0.005",
          "0.8",
          "0.4",
          "0.3",
          "0.4",
          "0.3",
          "0.8",
          "0.8",
          "4",
          "2",
          "3",
          "3",
          "3",
          "3"
        ],
        "quantities": [
          [
            "2",
            "%"
          ],
          [
            "15",
            "mm"
          ],
          [
            "1",
            "s"
          ],
          [
            "10.5",
            "s"
          ],
          [
            "10.68",
            "s"
          ],
          [
            "14.9",
            "s"
          ],
          [
            "25.5",
            "s"
          ],
          [
            "36.1",
            "s"
          ],
          [
            "2.3",
            "mm"
          ],
          [
            "2.3",
            "mm"
          ],
          [
            "2.72",
            "s"
          ],
          [
            "2.15",
            "mm"
          ],
          [
            "0.15",
            "mm"
          ],
          [
            "1",
            "mm"
          ],
          [
            "176",
            "mm"
          ],
          [
            "8.7",
            "s"
          ],
          [
            "1.5",
            "cm"
          ],
          [
            "25",
            "%"
          ],
          [
            "1.5",
            "cm"
          ],
          [
            "25",
            "%"
          ]
        ],
        "formulas": [
          "15=3.286",
          "chemical:BA4",
          "chemical:M1",
          "chemical:M1",
          "chemical:M1",
          "chemical:M1",
          "chemical:M1",
          "chemical:M1",
          "chemical:M1",
          "chemical:M1",
          "chemical:M1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:S1",
          "chemical:T1",
          "chemical:T1",
          "chemical:T1",
          "exp(k*t_i)",
          "exp(k*t_i)",
          "h>25",
          "h>25",
          "k*t_i",
          "k*t_i",
          "k=0.8",
          "n=8.7",
          "n>r",
          "p<0.005"
        ],
        "mathematical_variables": [
          "c_fingers_defined_by",
          "c_prediction",
          "c_regions",
          "c_status",
          "d_by",
          "d_by",
          "d_by",
          "d_by",
          "d_by",
          "d_by",
          "d_by",
          "d_by",
          "d_by_hypothesis",
          "d_for",
          "d_for",
          "d_for",
          "d_for",
          "d_for",
          "d_for",
          "d_for",
          "d_for",
          "d_for_age",
          "d_for_analysis",
          "d_from",
          "d_from",
          "d_from_explanation_of",
          "d_groups",
          "d_groups",
          "d_hypothesis",
          "d_images",
          "d_in",
          "d_in",
          "d_in",
          "d_in",
          "d_in",
          "d_in",
          "d_in",
          "d_metric",
          "d_no_evidence_of",
          "d_of_view",
          "d_original_evidence_for",
          "d_overoptimistic_for",
          "d_participants",
          "d_pathophysiology",
          "d_property",
          "d_similar_activity_in",
          "d_similar_activity_in",
          "d_site_of_disruption",
          "d_to",
          "d_to",
          "d_to",
          "d_to",
          "d_to_characterize",
          "d_to_characterize",
          "d_via",
          "d_via",
          "d_with",
          "d_with",
          "e_chunking",
          "e_conditions",
          "e_conditions",
          "e_count",
          "e_explanation_if_preserved",
          "e_focus",
          "e_gap",
          "e_in_professional_musicians",
          "e_matrix_regularization",
          "e_of_measurement",
          "e_required",
          "e_resolution",
          "e_sd",
          "e_sd",
          "e_thickness",
          "e_to",
          "e_type",
          "e_type",
          "g_function",
          "h_status",
          "h_studies",
          "k_factors",
          "k_usage",
          "l_association",
          "l_challenge",
          "l_condition",
          "l_condition",
          "l_cue",
          "l_cue",
          "l_cue",
          "l_entity_type",
          "l_entity_type",
          "l_entity_type",
          "l_entity_type",
          "l_entity_type",
          "l_entity_type",
          "l_entity_type",
          "l_entity_type",
          "l_entity_type",
          "l_entity_type",
          "l_entity_type",
          "l_entity_type",
          "l_entity_type",
          "l_entity_type",
          "l_extent",
          "l_extent",
          "l_features",
          "l_involvement",
          "l_issue",
          "l_layout_test",
          "l_measured",
          "l_region",
          "l_region",
          "l_selection",
          "l_status",
          "l_structure",
          "l_structure",
          "l_structure",
          "l_structure",
          "l_test",
          "l_trial_length",
          "l_usage_restriction",
          "m_for",
          "m_location",
          "n_age",
          "n_age",
          "n_area",
          "n_areas",
          "n_basis",
          "n_basis",
          "n_basis",
          "n_conditions",
          "n_criteria",
          "n_criteria",
          "n_distance",
          "n_method",
          "n_model",
          "n_reason",
          "n_status",
          "n_time",
          "n_type",
          "o_cue",
          "r_at_k_0",
          "r_at_k_infinity",
          "r_k",
          "r_k_values",
          "r_representations_status",
          "r_review_status",
          "s_a_form_of",
          "s_analyzed",
          "s_between",
          "s_confirmation",
          "s_further_investigation_of",
          "s_in_dystonia",
          "s_in_dystonia",
          "s_in_dystonia",
          "s_maps_using",
          "s_methods",
          "s_of_interest",
          "s_per_run",
          "s_result",
          "s_to",
          "s_to_explain",
          "s_using",
          "s_with",
          "t_across",
          "t_conditions",
          "t_count",
          "t_definition",
          "t_dictated_by",
          "t_dissimilarity",
          "t_dissimilarity",
          "t_durations",
          "t_explained_by",
          "t_i",
          "t_i",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_id",
          "t_measures",
          "t_metric",
          "t_of",
          "t_of",
          "t_of",
          "t_of",
          "t_of_hypothesis",
          "t_sources",
          "t_summary",
          "t_summary",
          "t_summary",
          "t_summary",
          "t_summary",
          "t_summary",
          "t_summary",
          "t_summary",
          "t_summary",
          "t_summary",
          "t_summary",
          "t_summary",
          "t_threshold",
          "t_type",
          "x_size",
          "y_M1",
          "y_M1",
          "y_S1",
          "y_S1",
          "y_comparison",
          "y_in_S1",
          "y_limitation",
          "y_scale",
          "y_suggestion",
          "y_type",
          "y_type"
        ],
        "operators": [
          ">",
          "=",
          ">",
          ">",
          ">",
          "=",
          "<",
          "="
        ]
      },
      "numeric_content_present": true,
      "formula_content_present": true,
      "exact_text_unchanged": false,
      "interpretation": "Conservative preservation filter; changed signatures require review and can include harmless reordering or equivalent unit/algebra conversions"
    }
  },
  "condition": "qwen_ku500_bt",
  "source_metadata": {
    "title": "Intact finger representation within primary sensorimotor cortex of Musician's Dystonia",
    "authors": [
      "Anna Sadnicka",
      "T Wiestler",
      "K Butler",
      "E Altenmüller",
      "M J Edwards",
      "N Ejaz",
      "J Diedrichsen"
    ],
    "doi": "",
    "year": "",
    "openalex_id": "",
    "origin": "Existing disjoint 20-paper benchmark cohort",
    "metadata_added_for_attribution_only": true,
    "metadata_not_used_to_change_QA_context": true
  }
}
