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"
}

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