Version history

{
  "scope": "Cross-species mesoscale connectome review (mouse, marmoset, macaque)",
  "claim_text": "A 32×32 macaque visual-cortex connectivity matrix from Felleman & Van Essen reported 305 known projections out of 992 possible, giving a graph density of 32%.",
  "raw_fields": {
    "n": 32,
    "doi": "10.1093/cercor/bhae174",
    "claim": "A 32×32 macaque visual-cortex connectivity matrix from Felleman & Van Essen reported 305 known projections out of 992 possible, giving a graph density of 32%.",
    "cite_key": "Magrou2024",
    "evidence": "Reviews the historical foundation of macaque cortico-cortical connectivity matrices and contextualizes mouse, marmoset, and macaque mesoscale connectomes.",
    "effect_size": "305/992 connections (~32% graph density) in 32 visual areas",
    "text_access": "fulltext",
    "study_system": "Cross-species mesoscale connectome review (mouse, marmoset, macaque)",
    "source_cluster_id": "cluster_11",
    "replication_status": "independently_replicated",
    "claim_source_sentence": "In the resultant 32 × 32 connectivity matrix, these authors reported 305 known projections out of 992 possible pathways, giving a link density (or graph density) of 32% for the visual cortex, that is, one-third of the maximum possible connections among visual areas were reported to exist.",
    "replication_evidence_dois": [
      "10.1093/cercor/bhs270",
      "10.1162/netn_a_00159"
    ],
    "effect_size_source_sentence": "In the resultant 32 × 32 connectivity matrix, these authors reported 305 known projections out of 992 possible pathways, giving a link density (or graph density) of 32% for the visual cortex, that is, one-third of the maximum possible connections among visual areas were reported to exist."
  },
  "section_id": "section_12",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_12_evidence_package.json",
  "effect_size": "305/992 connections (~32% graph density) in 32 visual areas",
  "review_repo": "ComputationalReviewLoops",
  "section_ref": "wiki_page:computationalreviewloops-12",
  "source_kind": "review_finding",
  "source_path": "evidence/section_12_evidence_package.json",
  "source_refs": [
    "paper:paper-255ef93c051f"
  ],
  "source_span": "In the resultant 32 × 32 connectivity matrix, these authors reported 305 known projections out of 992 possible pathways, giving a link density (or graph density) of 32% for the visual cortex, that is, one-third of the maximum possible connections among visual areas were reported to exist.",
  "study_system": "Cross-species mesoscale connectome review (mouse, marmoset, macaque)",
  "evidence_refs": [
    {
      "ref": "paper:paper-255ef93c051f"
    }
  ],
  "section_title": "Whole-Brain Connectomics: Mouse, Primate, Human",
  "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": "0632aae8abc141909207fe91f6349b9e36489c3b",
    "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops"
  },
  "evidence_summary": "Reviews the historical foundation of macaque cortico-cortical connectivity matrices and contextualizes mouse, marmoset, and macaque mesoscale connectomes.",
  "review_bundle_ref": "analysis_bundle:ab-d49e54403ef9",
  "replication_status": "independently_replicated",
  "review_package_ref": "analysis_bundle:ab-d49e54403ef9",
  "source_artifact_ref": "wiki_page:computationalreviewloops-12",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_12_evidence_package.json",
  "commit_sha": "0632aae8abc141909207fe91f6349b9e36489c3b",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops"
}