Version history

{
  "scope": "Healthy monozygotic (16 pairs) and dizygotic (13 pairs) twins; rs-fMRI across 1041 cortical regions",
  "claim_text": "Approximately 60% of interindividual variance in global cost-efficiency of human cortical functional networks is attributable to additive genetic effects, with regional heritability concentrated in default-mode, frontoparietal, and lateral temporal hubs.",
  "raw_fields": {
    "n": 0,
    "doi": "10.1523/jneurosci.4858-10.2011",
    "claim": "Approximately 60% of interindividual variance in global cost-efficiency of human cortical functional networks is attributable to additive genetic effects, with regional heritability concentrated in default-mode, frontoparietal, and lateral temporal hubs.",
    "cite_key": "Fornito2011",
    "evidence": "Approximately 60% of interindividual variance in global cost-efficiency of human cortical functional networks is attributable to additive genetic effects, with regional heritability concentrated in default-mode, frontoparietal, and lateral temporal hubs.",
    "effect_size": "60%",
    "text_access": "abstract_only",
    "study_system": "Healthy monozygotic (16 pairs) and dizygotic (13 pairs) twins; rs-fMRI across 1041 cortical regions",
    "source_cluster_id": "cluster_07",
    "replication_status": "replication_unknown",
    "claim_source_sentence": "At the global network level, 60% of the interindividual variance in cost-efficiency of cortical functional networks was attributable to additive genetic effects.",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": "At the global network level, 60% of the interindividual variance in cost-efficiency of cortical functional networks was attributable to additive genetic effects."
  },
  "section_id": "section_08",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_08_evidence_package.json",
  "effect_size": "60%",
  "review_repo": "ComputationalReviewLoops",
  "section_ref": "wiki_page:computationalreviewloops-08",
  "source_kind": "review_finding",
  "source_path": "evidence/section_08_evidence_package.json",
  "source_refs": [
    "paper:paper-3d30f580554a"
  ],
  "source_span": "At the global network level, 60% of the interindividual variance in cost-efficiency of cortical functional networks was attributable to additive genetic effects.",
  "study_system": "Healthy monozygotic (16 pairs) and dizygotic (13 pairs) twins; rs-fMRI across 1041 cortical regions",
  "evidence_refs": [
    {
      "ref": "paper:paper-3d30f580554a"
    }
  ],
  "section_title": "Cortical Association Connectome: Intra-Cortical Loops and Modules",
  "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": "Approximately 60% of interindividual variance in global cost-efficiency of human cortical functional networks is attributable to additive genetic effects, with regional heritability concentrated in default-mode, frontoparietal, and lateral temporal hubs.",
  "review_bundle_ref": "analysis_bundle:ab-d49e54403ef9",
  "replication_status": "replication_unknown",
  "review_package_ref": "analysis_bundle:ab-d49e54403ef9",
  "source_artifact_ref": "wiki_page:computationalreviewloops-08",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_08_evidence_package.json",
  "commit_sha": "0632aae8abc141909207fe91f6349b9e36489c3b",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops"
}