Version history

{
  "scope": "Human cerebral cortex; HCP MRI cohort; multimodal areal-feature registration",
  "claim_text": "A multi-modal HCP parcellation of human cerebral cortex used myelin maps, T1w/T2w imaging, and resting-state networks to align cortical data via 'MSMAll' areal-feature-based registration.",
  "raw_fields": {
    "n": 0,
    "doi": "10.1038/nature18933",
    "claim": "A multi-modal HCP parcellation of human cerebral cortex used myelin maps, T1w/T2w imaging, and resting-state networks to align cortical data via 'MSMAll' areal-feature-based registration.",
    "cite_key": "Glasser2016",
    "evidence": "HCP multi-modal parcellation underpins human-side comparisons in cross-species connectomics.",
    "effect_size": null,
    "text_access": "fulltext",
    "study_system": "Human cerebral cortex; HCP MRI cohort; multimodal areal-feature registration",
    "source_cluster_id": "cluster_11",
    "replication_status": "replication_unknown",
    "claim_source_sentence": "We aligned cortical data using ‘areal features’, including maps of relative myelin content and resting state networks that are more closely tied to cortical areas than are the folding patterns typically used for alignment 14 .",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": null
  },
  "section_id": "section_12",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_12_evidence_package.json",
  "effect_size": null,
  "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-0c9ac18f5ad5"
  ],
  "source_span": "We aligned cortical data using ‘areal features’, including maps of relative myelin content and resting state networks that are more closely tied to cortical areas than are the folding patterns typically used for alignment 14 .",
  "study_system": "Human cerebral cortex; HCP MRI cohort; multimodal areal-feature registration",
  "evidence_refs": [
    {
      "ref": "paper:paper-0c9ac18f5ad5"
    }
  ],
  "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": "HCP multi-modal parcellation underpins human-side comparisons in cross-species connectomics.",
  "review_bundle_ref": "analysis_bundle:ab-d49e54403ef9",
  "replication_status": "replication_unknown",
  "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"
}