Details
- scope
- biophysical computational model of basolateral amygdala
- section_id
- section_10
- source_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_10_evidence_package.json
- effect_size
- low theta (~3-6 Hz) is biomarker of fear conditioning
- review_repo
- ComputationalReviewVIP
- section_ref
- wiki_page:computationalreviewvip-10-oscillatory-dynamics
- source_kind
- review_finding
- source_path
- evidence/section_10_evidence_package.json
- study_system
- biophysical computational model of basolateral amygdala
- section_title
- Oscillatory Dynamics and Temporal Coordination
- evidence_summary
- Hodgkin-Huxley biophysical BLA model with PV/SST/VIP interneurons; STDP applied to inputs; comparison to LFP rhythm bands.
- review_bundle_ref
- analysis_bundle:ab-2ce40c33e827
- replication_status
- single-study
- review_package_ref
- analysis_bundle:ab-2ce40c33e827
- source_artifact_ref
- wiki_page:computationalreviewvip-10-oscillatory-dynamics
- origin_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_10_evidence_package.json
- commit_sha
- 95e761177f7d2ec565983d3307c14ec238f9677c
- created_by
- persona-jerome-lecoq-gbo-neuroscience
- repository_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewVIP
Raw fields (6)
- claim_text
A biophysical model of basolateral amygdala demonstrates that PV, SST, and VIP interneurons each contribute essential rhythm-generating roles (low/high theta and gamma); low theta (~3–6 Hz) emerges as a biomarker of successful fear conditioning via STDP-shaped fear circuits.
- raw_fields
{ "n": null, "doi": "10.7554/elife.89519", "pmid": "39590510", "year": "2024", "claim": "A biophysical model of basolateral amygdala demonstrates that PV, SST, and VIP interneurons each contribute essential rhythm-generating roles (low/high theta and gamma); low theta (~3–6 Hz) emerges as a biomarker of successful fear conditioning via STDP-shaped fear circuits.", "pmcid": "PMC11594530", "title": "Basolateral amygdala oscillations enable fear learning in a biophysical model.", "authors": "", "journal": "", "cite_key": "Cattani2024", "evidence": "Hodgkin-Huxley biophysical BLA model with PV/SST/VIP interneurons; STDP applied to inputs; comparison to LFP rhythm bands.", "cluster_id": "cluster_09_oscillations", "effect_size": "low theta (~3-6 Hz) is biomarker of fear conditioning", "figure_data": [], "text_access": "fulltext", "study_system": "biophysical computational model of basolateral amygdala", "cited_by_count": 9, "_source_cluster": "cluster_09_oscillations", "replication_status": "single-study", "_source_cluster_index": 10, "claim_source_sentence": "Here, we create a biophysically detailed model of the BLA circuit to show that several classes of interneurons (PV, SOM, and VIP) in the BLA can be critically involved in producing the rhythms; these rhythms promote the formation of a dedicated fear circuit shaped through spike-timing-dependent plasticity. We find that the low theta rhythm is a biomarker of successful fear conditioning.", "replication_evidence_dois": [], "effect_size_source_sentence": "We find that the low theta rhythm is a biomarker of successful fear conditioning." }- source_refs
[ "paper:paper-44570bb1d03e" ]
- source_span
Here, we create a biophysically detailed model of the BLA circuit to show that several classes of interneurons (PV, SOM, and VIP) in the BLA can be critically involved in producing the rhythms; these rhythms promote the formation of a dedicated fear circuit shaped through spike-timing-dependent plasticity. We find that the low theta rhythm is a biomarker of successful fear conditioning.
- evidence_refs
[ { "ref": "paper:paper-44570bb1d03e" } ]- 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": "95e761177f7d2ec565983d3307c14ec238f9677c", "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP" }