Details

scope
Mouse neocortex, retrograde tract tracing in 19/47 parcellated areas
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_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
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
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
Raw fields (5)
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."
}
source_refs
[
  "paper:paper-ec3295162895"
]
evidence_refs
[
  {
    "ref": "paper:paper-ec3295162895"
  }
]
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"
}

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