Version history

{
  "scope": "10 rhesus macaques (DWI) compared against CoCoMac and Markov-Kennedy retrograde tracing datasets",
  "claim_text": "Diffusion-MRI streamline counts (NOS) in macaque correlate positively with retrograde-tract-tracing FLNe but underestimate the dynamic range of true axonal connectivity weights, indicating that diffusion tractography captures connectome topology with reduced quantitative weight resolution relative to anatomical tracing.",
  "raw_fields": {
    "n": 0,
    "doi": "10.1002/hbm.22828",
    "claim": "Diffusion-MRI streamline counts (NOS) in macaque correlate positively with retrograde-tract-tracing FLNe but underestimate the dynamic range of true axonal connectivity weights, indicating that diffusion tractography captures connectome topology with reduced quantitative weight resolution relative to anatomical tracing.",
    "cite_key": "VandenHeuvel2015",
    "evidence": "Diffusion-MRI streamline counts (NOS) in macaque correlate positively with retrograde-tract-tracing FLNe but underestimate the dynamic range of true axonal connectivity weights, indicating that diffusion tractography captures connectome topology with reduced quantitative weight resolution relative to anatomical tracing.",
    "effect_size": null,
    "text_access": "fulltext",
    "study_system": "10 rhesus macaques (DWI) compared against CoCoMac and Markov-Kennedy retrograde tracing datasets",
    "source_cluster_id": "cluster_07",
    "replication_status": "replication_unknown",
    "claim_source_sentence": "In the field of human macroconnectomics the number of reconstructed fiber streamlines (NOS) is more and more used as a metric of cortico-cortical interareal connectivity strength, but the link between DWI NOS and in vivo animal tract-tracing measurements of anatomical connectivity strength remains poorly understood.",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": null
  },
  "section_id": "section_08",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_08_evidence_package.json",
  "effect_size": null,
  "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-9fcd61fe4817"
  ],
  "source_span": "In the field of human macroconnectomics the number of reconstructed fiber streamlines (NOS) is more and more used as a metric of cortico-cortical interareal connectivity strength, but the link between DWI NOS and in vivo animal tract-tracing measurements of anatomical connectivity strength remains poorly understood.",
  "study_system": "10 rhesus macaques (DWI) compared against CoCoMac and Markov-Kennedy retrograde tracing datasets",
  "evidence_refs": [
    {
      "ref": "paper:paper-9fcd61fe4817"
    }
  ],
  "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": "Diffusion-MRI streamline counts (NOS) in macaque correlate positively with retrograde-tract-tracing FLNe but underestimate the dynamic range of true axonal connectivity weights, indicating that diffusion tractography captures connectome topology with reduced quantitative weight resolution relative to anatomical tracing.",
  "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"
}