Version history

{
  "scope": "adult mouse visual cortex parcellation",
  "claim_text": "An automated retinotopic-parcellation algorithm applied to intrinsic-signal imaging in mouse visual cortex delineates nine known visual areas (V1, LM, AL, RL, AM, PM, LI, P, POR) plus identifies two previously undescribed areas (laterolateral anterior and medial area), providing an objective whole-mouse-visual-cortex map and area boundaries.",
  "raw_fields": {
    "n": 0,
    "doi": "10.1523/jneurosci.1124-14.2014",
    "claim": "An automated retinotopic-parcellation algorithm applied to intrinsic-signal imaging in mouse visual cortex delineates nine known visual areas (V1, LM, AL, RL, AM, PM, LI, P, POR) plus identifies two previously undescribed areas (laterolateral anterior and medial area), providing an objective whole-mouse-visual-cortex map and area boundaries.",
    "cite_key": "Garrett2014",
    "evidence": "Intrinsic-signal optical imaging of mouse cortex with automated retinotopic-criterion-based parcellation algorithm.",
    "effect_size": "qualitative — automated 9-area parcellation of mouse visual cortex + 2 new candidate areas",
    "text_access": "abstract_only",
    "study_system": "adult mouse visual cortex parcellation",
    "argument_role": "supporting",
    "replication_status": "independently_replicated",
    "claim_source_sentence": "delineating nine known areas (primary visual cortex, lateromedial area, anterolateral area, rostrolateral area, anteromedial area, posteromedial area, laterointermediate area, posterior area, and postrhinal area), and revealing two additional areas",
    "source_provenance_status": "non_substring_match",
    "replication_evidence_dois": [
      "10.1016/j.neuron.2011.12.004"
    ],
    "effect_size_source_sentence": "nine known areas... and revealing two additional areas"
  },
  "section_id": "section_07",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_07_evidence_package.json",
  "effect_size": "qualitative — automated 9-area parcellation of mouse visual cortex + 2 new candidate areas",
  "review_repo": "ComputationalReviewRecurrence",
  "section_ref": "wiki_page:computationalreviewrecurrence-07-celltype-motifs",
  "source_kind": "review_finding",
  "source_path": "evidence/section_07_evidence_package.json",
  "source_refs": [
    "paper:paper-e8764d6d6205"
  ],
  "source_span": "delineating nine known areas (primary visual cortex, lateromedial area, anterolateral area, rostrolateral area, anteromedial area, posteromedial area, laterointermediate area, posterior area, and postrhinal area), and revealing two additional areas",
  "study_system": "adult mouse visual cortex parcellation",
  "evidence_refs": [
    {
      "ref": "paper:paper-e8764d6d6205"
    }
  ],
  "section_title": "7. Cell-type-specific E→E motifs in mouse — IT vs PT vs CT pyramidal projection classes; L5 thick-tufted recurrence; Patch-seq and Allen mouse-cortex taxonomy intersections; transcriptomic-type-specific connectivity",
  "source_policy": {
    "mode": "public_source_pointer_with_short_context",
    "notes": [
      "Local review repositories are read-only inputs.",
      "SciDEX stores paper metadata, structured evidence, file pointers, and short citation contexts; it does not copy full review prose."
    ],
    "source_commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
    "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
  },
  "evidence_summary": "Intrinsic-signal optical imaging of mouse cortex with automated retinotopic-criterion-based parcellation algorithm.",
  "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
  "replication_status": "independently_replicated",
  "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
  "source_artifact_ref": "wiki_page:computationalreviewrecurrence-07-celltype-motifs",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_07_evidence_package.json",
  "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
}