Version history

{
  "scope": "Mouse neocortex, retrograde tract tracing in 19/47 parcellated areas",
  "claim_text": "Retrograde tract-tracing of 19 mouse cortical areas (27 injections) reveals a log-normal weighted cortical connection distribution spanning ~5 orders of magnitude and an ultra-dense inter-areal graph with 97% binary density — substantially denser than the 66% reported for macaque.",
  "raw_fields": {
    "n": 27,
    "doi": "10.1016/j.neuron.2017.12.037",
    "claim": "Retrograde tract-tracing of 19 mouse cortical areas (27 injections) reveals a log-normal weighted cortical connection distribution spanning ~5 orders of magnitude and an ultra-dense inter-areal graph with 97% binary density — substantially denser than the 66% reported for macaque.",
    "cite_key": "Gamanut2018",
    "evidence": "Twenty-seven retrograde tracer injections in 19 of 47 parcellated mouse cortical areas; flat-mount histology with multiple markers; weighted graph analysis.",
    "effect_size": "97% binary density (mouse) vs 66% (macaque); weight distribution spans 5 orders of magnitude.",
    "text_access": "abstract_only",
    "study_system": "Mouse neocortex, retrograde tract tracing in 19/47 parcellated areas",
    "argument_role": "supporting",
    "replication_status": "replicated",
    "claim_source_sentence": "The observed log-normal distribution of connection weights to each cortical area spans 5 orders of magnitude and reveals a distinct connectivity profile for each area, analogous to that observed in macaques.",
    "source_provenance_status": "non_substring_match",
    "replication_evidence_dois": [
      "10.1162/netn_a_00345"
    ],
    "effect_size_source_sentence": "The cortical network has a density of 97%, considerably higher than the 66% density reported in macaques."
  },
  "section_id": "section_08",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_08_evidence_package.json",
  "effect_size": "97% binary density (mouse) vs 66% (macaque); weight distribution spans 5 orders of magnitude.",
  "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-ec3295162895"
  ],
  "source_span": "The observed log-normal distribution of connection weights to each cortical area spans 5 orders of magnitude and reveals a distinct connectivity profile for each area, analogous to that observed in macaques.",
  "study_system": "Mouse neocortex, retrograde tract tracing in 19/47 parcellated areas",
  "evidence_refs": [
    {
      "ref": "paper:paper-ec3295162895"
    }
  ],
  "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": "Twenty-seven retrograde tracer injections in 19 of 47 parcellated mouse cortical areas; flat-mount histology with multiple markers; weighted graph analysis.",
  "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
  "replication_status": "replicated",
  "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"
}