Evidence map›Paper›PMID 37163011›Full record

ArticlebioRxiv : the preprint server for biology2024

Basolateral amygdala oscillations enable fear learning in a biophysical model.

Anna Cattani, Don B Arnold, Michelle McCarthy, Nancy Kopell

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Anna CattaniDepartment of Mathematics & Statistics, Boston University, Boston, Massachusetts, United States.ORCID 0000-0003-2317-1737
Don B ArnoldDepartment of Biology, University of Southern California, Los Angeles, California, United States.ORCID 0000-0001-7378-1440
Michelle McCarthyDepartment of Mathematics & Statistics, Boston University, Boston, Massachusetts, United States.
Nancy KopellDepartment of Mathematics & Statistics, Boston University, Boston, Massachusetts, United States.ORCID 0000-0002-8568-8750
Boston University · USUniversity of Southern California · US

Funding

Circuits underlying threat and safetyUF1NS122082 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ARNOLD, DONALD B, FRASER, SCOTT E · 2021 to 2021
$4.7M
NINDS NIH HHS UF1 NS122082
6 · The paper itself

Abstract

The basolateral amygdala (BLA) is a key site where fear learning takes place through synaptic plasticity. Rodent research shows prominent low theta (~3-6 Hz), high theta (~6-12 Hz), and gamma (>30 Hz) rhythms in the BLA local field potential recordings. However, it is not understood what role these rhythms play in supporting the plasticity. 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. Each class of interneurons is necessary for the plasticity. We find that the low theta rhythm is a biomarker of successful fear conditioning. The model makes use of interneurons commonly found in the cortex and, hence, may apply to a wide variety of associative learning situations.

Indexed as

biomarkergamma rhythmHodgkin-Huxley networksLocal field potentialPavlovian fear conditioningPV interneuronsSOM interneuronsspike-timing-dependent plasticityTheta rhythmVIP interneurons

Identifiers

PMID37163011
PMCPMC10168360
OpenAlexW4367368593

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.