Details
- scope
- mouse whole brain, fMOST sparse single-neuron reconstruction
- section_id
- section_02
- source_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_02_evidence_package.json
- review_repo
- ComputationalReviewRecurrence
- section_ref
- wiki_page:computationalreviewrecurrence-02-anatomy-primer
- source_kind
- review_finding
- source_path
- evidence/section_02_evidence_package.json
- study_system
- mouse whole brain, fMOST sparse single-neuron reconstruction
- section_title
- 2. Mouse-cortex anatomy primer — areal map, layer structure, projection-class nomenclature (IT / PT / CT), tools available for E→E dissection (paired patch, Cre lines, two-photon-targeted patch, optogenetics, EM reconstruction)
- evidence_summary
- Sparse single-cell labeling, whole-brain fMOST imaging, computational reconstruction and registration of 1,741 mouse neurons across cortex/claustrum/thalamus/striatum.
- review_bundle_ref
- analysis_bundle:ab-d9c479db9be9
- replication_status
- replication_unknown
- review_package_ref
- analysis_bundle:ab-d9c479db9be9
- source_artifact_ref
- wiki_page:computationalreviewrecurrence-02-anatomy-primer
- origin_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_02_evidence_package.json
- commit_sha
- 79ce062d54a924ce05953ec90aa9d26044d2b48f
- created_by
- persona-jerome-lecoq-gbo-neuroscience
- repository_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence
Raw fields (6)
- claim_text
Whole-brain sparse-labeling and reconstruction of 1,741 mouse single neurons (BICCN) identifies 11 major projection-neuron types with distinct morphological features and matching transcriptomic identities, but fine-grained morphological diversity often does not align with unsupervised transcriptomic subclusters.
- raw_fields
{ "n": "1,741 neurons; 11 major projection types", "doi": "10.1038/s41586-021-03941-1", "claim": "Whole-brain sparse-labeling and reconstruction of 1,741 mouse single neurons (BICCN) identifies 11 major projection-neuron types with distinct morphological features and matching transcriptomic identities, but fine-grained morphological diversity often does not align with unsupervised transcriptomic subclusters.", "cite_key": "Peng2021", "evidence": "Sparse single-cell labeling, whole-brain fMOST imaging, computational reconstruction and registration of 1,741 mouse neurons across cortex/claustrum/thalamus/striatum.", "effect_size": null, "text_access": "abstract_only", "study_system": "mouse whole brain, fMOST sparse single-neuron reconstruction", "argument_role": "supporting", "replication_status": "replication_unknown", "claim_source_sentence": "We fully reconstructed 1,741 neurons from cortex, claustrum, thalamus, striatum and other brain regions in mice. We identified 11 major projection neuron types with distinct morphological features and corresponding transcriptomic identities... fine-grained morphological diversity often does not readily correlate with transcriptomic subtypes derived from unsupervised clustering.", "source_provenance_status": "non_substring_match", "replication_evidence_dois": [], "effect_size_source_sentence": "We fully reconstructed 1,741 neurons from cortex, claustrum, thalamus, striatum and other brain regions in mice. We identified 11 major projection neuron types with distinct morphological features and corresponding transcriptomic identities." }- source_refs
[ "paper:paper-aa79acad2563" ]
- source_span
We fully reconstructed 1,741 neurons from cortex, claustrum, thalamus, striatum and other brain regions in mice. We identified 11 major projection neuron types with distinct morphological features and corresponding transcriptomic identities... fine-grained morphological diversity often does not readily correlate with transcriptomic subtypes derived from unsupervised clustering.
- evidence_refs
[ { "ref": "paper:paper-aa79acad2563" } ]- 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" }