Evidence map›Paper›PMID 34623910›Full record

ArticleScience advances2021

Transformative neural representations support long-term episodic memory.

Jing Liu, Hui Zhang, Tao Yu, Liankun Ren, Duanyu Ni, Qinhao Yang, Baoqing Lu, Liang Zhang, Nikolai Axmacher, Gui Xue

Abstract read
In one paragraph

Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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  11. Memory consolidation accelerates.Nature neuroscience · 2025
    Article
  12. Distinct mechanisms and functions of episodic memory.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Visual Recognition Memory of Scenes Is Driven by Categorical, Not Sensory, Visual Representations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  18. Representational formats of human memory traces.Brain structure & function · 2024
    Review
  19. Article
  20. 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

10 authors.

Jing LiuState Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.ORCID 0000-0002-9167-6190
Hui ZhangDepartment of Neuropsychology, Institute of Cognitive Neuroscience, Faculty of Psychology, Ruhr University Bochum, Bochum 44801, Germany.
Tao YuBeijing Institute of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
Liankun RenComprehensive Epilepsy Center of Beijing, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.ORCID 0000-0001-5147-3068
Duanyu NiBeijing Institute of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
Qinhao YangState Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.ORCID 0000-0002-6784-502X
Baoqing LuState Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.ORCID 0000-0002-4500-0384
Liang ZhangState Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.ORCID 0000-0001-9041-1150
Nikolai AxmacherState Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.ORCID 0000-0002-0475-6492
Gui XueState Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.ORCID 0000-0001-7891-8151

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Memory is often conceived as a dynamic process that involves substantial transformations of mental representations. However, the neural mechanisms underlying these transformations and their role in memory formation and retrieval have only started to be elucidated. Combining intracranial EEG recordings with deep neural network models, we provide a detailed picture of the representational transformations from encoding to short-term memory maintenance and long-term memory retrieval that underlie successful episodic memory. We observed substantial representational transformations during encoding. Critically, more pronounced semantic representational formats predicted better subsequent long-term memory, and this effect was mediated by more consistent item-specific representations across encoding events. The representations were further transformed right after stimulus offset, and the representations during long-term memory retrieval were more similar to those during short-term maintenance than during encoding. Our results suggest that memory representations pass through multiple stages of transformations to achieve successful long-term memory formation and recall.

Identifiers

PMID34623910
PMCPMC8500506

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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.