Version history

{
  "scope": "biophysical computational model of basolateral amygdala",
  "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."
  },
  "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",
  "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.",
  "study_system": "biophysical computational model of basolateral amygdala",
  "evidence_refs": [
    {
      "ref": "paper:paper-44570bb1d03e"
    }
  ],
  "section_title": "Oscillatory Dynamics and Temporal Coordination",
  "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"
  },
  "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"
}