Version history

{
  "scope": "10 ex vivo rhesus macaque brains compared against CoCoMac + Markov tract-tracing datasets",
  "claim_text": "In macaque, dMRI tractography number-of-streamlines correlates positively with retrograde tract-tracing FLN-based connection strengths from CoCoMac and Markov datasets (P<0.001).",
  "raw_fields": {
    "n": 10,
    "doi": "10.1002/hbm.22828",
    "claim": "In macaque, dMRI tractography number-of-streamlines correlates positively with retrograde tract-tracing FLN-based connection strengths from CoCoMac and Markov datasets (P<0.001).",
    "cite_key": "VandenHeuvel2015",
    "evidence": "Cross-validation of in vivo DWI-derived connectivity weights against gold-standard macaque tract-tracing data.",
    "effect_size": "P < 0.001 correlation between DWI NOS and tract-tracing connection strength",
    "text_access": "abstract_only",
    "study_system": "10 ex vivo rhesus macaque brains compared against CoCoMac + Markov tract-tracing datasets",
    "source_cluster_id": "cluster_11",
    "replication_status": "independently_replicated",
    "claim_source_sentence": "NOS and density of reconstructed fiber pathways derived from DWI data acquired across 10 rhesus macaques was found to positively correlate to tract-tracing based measurements of connectivity strength across both the CoCoMac and Markov dataset (both P < 0.001), suggesting DWI NOS to form a valid method of assessment of the projection strength of white matter pathways.",
    "replication_evidence_dois": [
      "10.1162/netn_a_00098",
      "10.1038/s41467-017-01285-x"
    ],
    "effect_size_source_sentence": "NOS and density of reconstructed fiber pathways derived from DWI data acquired across 10 rhesus macaques was found to positively correlate to tract-tracing based measurements of connectivity strength across both the CoCoMac and Markov dataset (both P < 0.001), suggesting DWI NOS to form a valid method of assessment of the projection strength of white matter pathways."
  },
  "section_id": "section_12",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_12_evidence_package.json",
  "effect_size": "P < 0.001 correlation between DWI NOS and tract-tracing connection strength",
  "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-9fcd61fe4817"
  ],
  "source_span": "NOS and density of reconstructed fiber pathways derived from DWI data acquired across 10 rhesus macaques was found to positively correlate to tract-tracing based measurements of connectivity strength across both the CoCoMac and Markov dataset (both P < 0.001), suggesting DWI NOS to form a valid method of assessment of the projection strength of white matter pathways.",
  "study_system": "10 ex vivo rhesus macaque brains compared against CoCoMac + Markov tract-tracing datasets",
  "evidence_refs": [
    {
      "ref": "paper:paper-9fcd61fe4817"
    }
  ],
  "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": "Cross-validation of in vivo DWI-derived connectivity weights against gold-standard macaque tract-tracing data.",
  "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"
}