Details
- scope
- Mouse olfactory bulb + piriform cortex; high-throughput barcoded projection mapping.
- section_id
- section_08
- source_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_08_evidence_package.json
- effect_size
- 30,433 piriform output neurons + 5,309 bulb neurons; spatially matched A-P projection structure.
- 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
- Surprisingly, statistical analysis of this much larger dataset revealed that the olfactory cortex connectivity is spatially structured.
- study_system
- Mouse olfactory bulb + piriform cortex; high-throughput barcoded projection mapping.
- 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
- MAPseq/BARseq-class barcode sequencing of 5,309 olfactory bulb and 30,433 piriform cortex output neurons in mouse; statistical analysis of projection–origin axis correspondence.
- 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
High-throughput barcode sequencing of 30,433 mouse piriform-cortex output neurons reveals that olfactory-cortex long-range projections are spatially structured along the anterior–posterior axis, matching their olfactory-bulb inputs, in contrast to the prior 'random connectivity' view of olfactory cortex.
- raw_fields
{ "n": 30433, "doi": "10.1016/j.cell.2022.09.038", "claim": "High-throughput barcode sequencing of 30,433 mouse piriform-cortex output neurons reveals that olfactory-cortex long-range projections are spatially structured along the anterior–posterior axis, matching their olfactory-bulb inputs, in contrast to the prior 'random connectivity' view of olfactory cortex.", "cite_key": "Chen2022", "evidence": "MAPseq/BARseq-class barcode sequencing of 5,309 olfactory bulb and 30,433 piriform cortex output neurons in mouse; statistical analysis of projection–origin axis correspondence.", "effect_size": "30,433 piriform output neurons + 5,309 bulb neurons; spatially matched A-P projection structure.", "text_access": "fulltext", "study_system": "Mouse olfactory bulb + piriform cortex; high-throughput barcoded projection mapping.", "argument_role": "supporting", "replication_status": "replicated", "claim_source_sentence": "Surprisingly, statistical analysis of this much larger dataset revealed that the olfactory cortex connectivity is spatially structured.", "source_provenance_status": "ok", "replication_evidence_dois": [ "10.1016/j.cell.2019.09.023" ], "effect_size_source_sentence": "Here, we used high-throughput sequencing-based neuroanatomical techniques to analyze the projections of 5,309 mouse olfactory bulb and 30,433 piriform cortex output neurons at single-cell resolution." }- source_refs
[ "paper:paper-77c873150807" ]
- evidence_refs
[ { "ref": "paper:paper-77c873150807" } ]- 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" }