Details
- scope
- C57BL/6J mouse cortex; statistical re-analysis of Allen Institute anterograde viral tract-tracing data
- claim_text
- A statistical framework applied to Allen Mouse Brain Connectivity Atlas anterograde tract-tracing data estimates intra-hemispheric mouse cortical connection density at 73% (95% CI 71–75%) — markedly higher than previous estimates of ~40%.
- section_id
- section_12
- source_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_12_evidence_package.json
- effect_size
- Intra-hemispheric density 73% (95% CI 71–75%); inter-hemispheric 59% (95% CI 54–62%)
- review_repo
- ComputationalReviewLoops
- section_ref
- wiki_page:computationalreviewloops-12
- source_kind
- review_finding
- source_path
- evidence/section_12_evidence_package.json
- source_span
- We model the observed signal as a log-normal distribution generated by a combination of tracer fluorescence and positive-mean noise, also accounting for injections into multiple regions.
- study_system
- C57BL/6J mouse cortex; statistical re-analysis of Allen Institute anterograde viral tract-tracing data
- section_title
- Whole-Brain Connectomics: Mouse, Primate, Human
- evidence_summary
- Log-normal generative model accounts for tracer fluorescence and positive-mean noise; weakest detectable connections correspond to ~one or a few axons; long-distance weak connections more random topologically.
- 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
Raw fields (4)
- raw_fields
{ "n": 0, "doi": "10.1371/journal.pcbi.1005104", "claim": "A statistical framework applied to Allen Mouse Brain Connectivity Atlas anterograde tract-tracing data estimates intra-hemispheric mouse cortical connection density at 73% (95% CI 71–75%) — markedly higher than previous estimates of ~40%.", "cite_key": "Ypma2016", "evidence": "Log-normal generative model accounts for tracer fluorescence and positive-mean noise; weakest detectable connections correspond to ~one or a few axons; long-distance weak connections more random topologically.", "effect_size": "Intra-hemispheric density 73% (95% CI 71–75%); inter-hemispheric 59% (95% CI 54–62%)", "text_access": "abstract_only", "study_system": "C57BL/6J mouse cortex; statistical re-analysis of Allen Institute anterograde viral tract-tracing data", "source_cluster_id": "cluster_11", "replication_status": "independently_replicated", "claim_source_sentence": "We model the observed signal as a log-normal distribution generated by a combination of tracer fluorescence and positive-mean noise, also accounting for injections into multiple regions.", "replication_evidence_dois": [ "10.1093/cercor/bhs270", "10.1038/s41586-019-1716-z" ], "effect_size_source_sentence": "We model the observed signal as a log-normal distribution generated by a combination of tracer fluorescence and positive-mean noise, also accounting for injections into multiple regions." }- source_refs
[ "paper:paper-8725d2292e8d" ]
- evidence_refs
[ { "ref": "paper:paper-8725d2292e8d" } ]- 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" }