Evidence map›Paper›PMID 42270631›Full record

ArticleNature communications2026

Adaptive shifts in amygdala-hippocampal theta coupling govern aversive learning and extinction.

Saurabh Sonkusare, Qiong Ding, Christopher Weirich, Yashu Feng, Wei Liu, Ruoqi Yang, Alekhya Mandali, Samantha Sallie, Violeta Casero, Chunyan Cao and 4 more

Abstract read
In one paragraph

Article in Nature communications, 2026. 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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Saurabh SonkusareInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China. sonkusaresaurabh@gmail.com.ORCID http://orcid.org/0000-0002-4439-0579
Qiong DingInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0001-5157-3659
Christopher WeirichInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0002-9862-8714
Yashu FengInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
Wei LiuDepartment of Neurosurgery, Centre for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ruoqi YangDepartment of Neurosurgery, Centre for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID http://orcid.org/0000-0003-4938-3367
Alekhya MandaliDepartment of Psychiatry, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0001-9206-7613
Samantha SallieDepartment of Psychiatry, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-0161-3995
Violeta CaseroDepartment of Psychiatry, University of Cambridge, Cambridge, UK.
Chunyan CaoDepartment of Neurosurgery, Centre for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Dianyou LiDepartment of Neurosurgery, Centre for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID http://orcid.org/0000-0003-4212-4231
Bomin SunDepartment of Neurosurgery, Centre for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID http://orcid.org/0000-0001-5931-2197
Shikun ZhanDepartment of Neurosurgery, Centre for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. shikun_zhan@hotmail.com.
Valerie VoonInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China. voonval@gmail.com.ORCID http://orcid.org/0000-0001-6790-1776

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adaptive behaviour relies on the flexible encoding and suppression of aversive associations often underpinned by amygdala-hippocampal interactions. Yet the spectral and directional dynamics underlying these interactions in humans remain poorly understood. Using intracranial EEG recordings from the amygdala and the hippocampus acquired during a two-day aversive learning and extinction task, we identified frequency-specific shifts: amygdala theta (3-8 Hz) and gamma (30-45 Hz) power increased during conditioning and decreased during extinction, while hippocampal alpha and gamma activity gave way to theta and gamma during extinction. Directional phase connectivity, results showed frequency-specific reversals: amygdala-to-hippocampus dominance at 3-5 Hz and hippocampus-to-amygdala predominance at 6-8 Hz, a reconfiguration validated by computational modelling. These findings uncover distinct theta sub-bands coordinating dynamic, bidirectional communication in the human amygdala-hippocampal circuit, elucidating a neural mechanism for the flexible regulation of emotional memory.

Indexed as

AmygdalaAvoidance LearningExtinction, PsychologicalHippocampusTheta RhythmAdultElectroencephalographyFemaleHumansMaleMemoryYoung Adult

Identifiers

PMID42270631
PMCPMC13439568

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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.