Evidence map›Paper›PMID 37217494›Full record

ArticleNature communications2023

Functional specialization and interaction in the amygdala-hippocampus circuit during working memory processing.

Jin Li, Dan Cao, Shan Yu, Xinyu Xiao, Lukas Imbach, Lennart Stieglitz, Johannes Sarnthein, Tianzi Jiang

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
6.2field-weighted citation impact, top 3% of its field
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

18 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Contributions of the basolateral amygdala and nucleus accumbens to sustaining not just initiating cognitive effort.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. Beta bursts mediate amygdala gating of hippocampal emotional encoding.bioRxiv : the preprint server for biology · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Theta-Alpha Connectivity in the Hippocampal-Entorhinal Circuit Predicts Working Memory Load.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  17. Review
  18. Article
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

8 authors at 3 institutions in 2 countries.

Jin Li *Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China.ORCID 0000-0002-4413-5746
Dan Cao *Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China.ORCID 0000-0003-0133-9391
Shan YuBrainnetome Center, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China.
Xinyu XiaoBrainnetome Center, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China.
Lukas ImbachSwiss Epilepsy Center, Klinik Lengg, Zurich, Switzerland.
Lennart StieglitzDepartment of Neurosurgery, University Hospital Zurich, University of Zurich, 8091, Zurich, Switzerland.ORCID 0000-0002-3744-5105
Johannes SarntheinDepartment of Neurosurgery, University Hospital Zurich, University of Zurich, 8091, Zurich, Switzerland. johannes.sarnthein@usz.ch.ORCID 0000-0001-9141-381X
Tianzi JiangBrainnetome Center, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China. jiangtz@nlpr.ia.ac.cn.ORCID 0000-0001-9531-291X
Chinese Academy of Sciences · CNUniversity of Zurich · CHBeijing Academy of Artificial Intelligence · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Both the hippocampus and amygdala are involved in working memory (WM) processing. However, their specific role in WM is still an open question. Here, we simultaneously recorded intracranial EEG from the amygdala and hippocampus of epilepsy patients while performing a WM task, and compared their representation patterns during the encoding and maintenance periods. By combining multivariate representational analysis and connectivity analyses with machine learning methods, our results revealed a functional specialization of the amygdala-hippocampal circuit: The mnemonic representations in the amygdala were highly distinct and decreased from encoding to maintenance. The hippocampal representations, however, were more similar across different items but remained stable in the absence of the stimulus. WM encoding and maintenance were associated with bidirectional information flow between the amygdala and the hippocampus in low-frequency bands (1-40 Hz). Furthermore, the decoding accuracy on WM load was higher by using representational features in the amygdala during encoding and in the hippocampus during maintenance, and by using information flow from the amygdala during encoding and that from the hippocampus during maintenance, respectively. Taken together, our study reveals that WM processing is associated with functional specialization and interaction within the amygdala-hippocampus circuit.

Indexed as

EpilepsyMemory, Short-TermAmygdalaElectrocorticographyHippocampusHumansMagnetic Resonance Imaging

Identifiers

PMID37217494
PMCPMC10203226
OpenAlexW4377293098

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.