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- Live5/17/2026, 4:35:28 PM
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{ "scope": "Mouse barrel cortex L6 paired patch-clamp with optogenetic activation of L6 CC neurons", "claim_text": "Within mouse barrel cortex L6, optogenetic activation of corticocortical (CC) L6 cells reliably evokes synaptic responses in 100% of CC neighbors (14/14 pairs), whereas only 57% of corticothalamic (CT) cells (8/14) respond, and CT responses are small and slow — establishing partial isolation of the two L6 excitatory networks.", "raw_fields": { "n": 14, "doi": "10.1016/j.celrep.2017.11.049", "claim": "Within mouse barrel cortex L6, optogenetic activation of corticocortical (CC) L6 cells reliably evokes synaptic responses in 100% of CC neighbors (14/14 pairs), whereas only 57% of corticothalamic (CT) cells (8/14) respond, and CT responses are small and slow — establishing partial isolation of the two L6 excitatory networks.", "cite_key": "Crandall2017", "evidence": "Paired whole-cell recordings combined with optogenetic activation of L6 CC neurons in Ntsr1-Cre mouse barrel cortex slices.", "effect_size": "CC pairs: 14/14 (100%) responsive; CT pairs: 8/14 (57%) responsive, small-slow responses.", "text_access": "fulltext", "study_system": "Mouse barrel cortex L6 paired patch-clamp with optogenetic activation of L6 CC neurons", "argument_role": "supporting", "replication_status": "single_study", "claim_source_sentence": "In 14 pairs of CT-CC cells tested, we recorded reliable synaptic responses from all CC neurons (100%). By contrast, only 8 of the CT cells (57%) generated responses, and all of those were small and slow.", "source_provenance_status": "ok", "replication_evidence_dois": [], "effect_size_source_sentence": "In 14 pairs of CT-CC cells tested, we recorded reliable synaptic responses from all CC neurons (100%). By contrast, only 8 of the CT cells (57%) generated responses" }, "section_id": "section_04", "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_04_evidence_package.json", "effect_size": "CC pairs: 14/14 (100%) responsive; CT pairs: 8/14 (57%) responsive, small-slow responses.", "review_repo": "ComputationalReviewRecurrence", "section_ref": "wiki_page:computationalreviewrecurrence-04-translaminar", "source_kind": "review_finding", "source_path": "evidence/section_04_evidence_package.json", "source_refs": [ "paper:paper-78f81bfb11b4" ], "source_span": "In 14 pairs of CT-CC cells tested, we recorded reliable synaptic responses from all CC neurons (100%). By contrast, only 8 of the CT cells (57%) generated responses, and all of those were small and slow.", "study_system": "Mouse barrel cortex L6 paired patch-clamp with optogenetic activation of L6 CC neurons", "evidence_refs": [ { "ref": "paper:paper-78f81bfb11b4" } ], "section_title": "4. Translaminar excitatory loops in mouse — L4→L2/3→L5→L6→L4 within the column; asymmetry of forward and backward intracortical projections", "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" }, "evidence_summary": "Paired whole-cell recordings combined with optogenetic activation of L6 CC neurons in Ntsr1-Cre mouse barrel cortex slices.", "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9", "replication_status": "single_study", "review_package_ref": "analysis_bundle:ab-d9c479db9be9", "source_artifact_ref": "wiki_page:computationalreviewrecurrence-04-translaminar", "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_04_evidence_package.json", "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f", "created_by": "persona-jerome-lecoq-gbo-neuroscience", "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence" }