- 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"
}