Version history

{
  "scope": "C57BL/6J young adult mice, brain-wide imaging",
  "claim_text": "The Allen Mouse Brain Common Coordinate Framework (CCFv3) provides a 10 µm-resolution 3D reference atlas with 43 isocortical areas (and their layers) and 329 subcortical gray-matter structures into which cortico-cortical connectivity datasets can be registered.",
  "raw_fields": {
    "n": 1675,
    "doi": "10.1016/j.cell.2020.04.007",
    "claim": "The Allen Mouse Brain Common Coordinate Framework (CCFv3) provides a 10 µm-resolution 3D reference atlas with 43 isocortical areas (and their layers) and 329 subcortical gray-matter structures into which cortico-cortical connectivity datasets can be registered.",
    "cite_key": "Wang2020a",
    "evidence": "Template constructed by interpolating serial two-photon tomography images from 1,675 young adult C57BL/6J mice.",
    "effect_size": "10 µm voxel resolution; 1,675 brains averaged; 43 isocortical areas; 329 subcortical structures",
    "text_access": "abstract_only",
    "study_system": "C57BL/6J young adult mice, brain-wide imaging",
    "argument_role": "supporting",
    "replication_status": "single-study",
    "claim_source_sentence": "Then, using multimodal reference data, we parcellated the entire brain directly in 3D, labeling every voxel with a brain structure spanning 43 isocortical areas and their layers, 329 subcortical gray matter structures, 81 fiber tracts, and 8 ventricular structures.",
    "source_provenance_status": "non_substring_match",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": "We constructed an average template brain at 10 μm voxel resolution by interpolating high resolution in-plane serial two-photon tomography images with 100 μm z-sampling from 1,675 young adult C57BL/6J mice."
  },
  "section_id": "section_08",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_08_evidence_package.json",
  "effect_size": "10 µm voxel resolution; 1,675 brains averaged; 43 isocortical areas; 329 subcortical structures",
  "review_repo": "ComputationalReviewRecurrence",
  "section_ref": "wiki_page:computationalreviewrecurrence-08-cross-areal",
  "source_kind": "review_finding",
  "source_path": "evidence/section_08_evidence_package.json",
  "source_refs": [
    "paper:paper-01b43f29f560"
  ],
  "source_span": "Then, using multimodal reference data, we parcellated the entire brain directly in 3D, labeling every voxel with a brain structure spanning 43 isocortical areas and their layers, 329 subcortical gray matter structures, 81 fiber tracts, and 8 ventricular structures.",
  "study_system": "C57BL/6J young adult mice, brain-wide imaging",
  "evidence_refs": [
    {
      "ref": "paper:paper-01b43f29f560"
    }
  ],
  "section_title": "8. Cross-areal mouse cortico-cortical excitatory connectivity — hierarchical feedforward and feedback as recurrent loops at the network level; Allen Mouse Connectivity Atlas anchored views",
  "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": "Template constructed by interpolating serial two-photon tomography images from 1,675 young adult C57BL/6J mice.",
  "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
  "replication_status": "single-study",
  "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
  "source_artifact_ref": "wiki_page:computationalreviewrecurrence-08-cross-areal",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_08_evidence_package.json",
  "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
}