Evidence map›Paper›PMID 42092183›Full record

ArticleNature neuroscience2026

Human hippocampal ripples coordinate planning sequences and compositional representations in neocortex.

Li He, Xiongfei Wang, Jinbo Zhang, Zhibing Xiao, Xiangyu Hu, Philipp Schwartenbeck, Jacob Bakermans, Tim Behrens, Yunzhe Liu

Abstract read
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In one paragraph

Article in Nature neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Arousal state modulates human hippocampal ripples.bioRxiv : the preprint server for biology · 2026
    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

9 authors.

Li He *State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.ORCID http://orcid.org/0000-0002-2213-2499
Xiongfei Wang *Department of Neurosurgery, Laboratory for Clinical Medicine, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Jinbo ZhangState Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
Zhibing XiaoState Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.ORCID http://orcid.org/0000-0002-0457-0233
Xiangyu HuState Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.ORCID http://orcid.org/0009-0004-5983-7320
Philipp SchwartenbeckWellcome Centre for Human Neuroimaging, University College London, London, UK.
Jacob BakermansWellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0003-1645-2645
Tim BehrensWellcome Centre for Human Neuroimaging, University College London, London, UK.
Yunzhe LiuState Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China. yunzhe.liu@bnu.edu.cn.ORCID http://orcid.org/0000-0003-0836-9403

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32271093National Natural Science Foundation of China (National Science Foundation of China) 32400871National Natural Science Foundation of China (National Science Foundation of China) 82401707
6 · The paper itself

Abstract

The human brain excels at solving novel problems by flexibly recombining a limited set of familiar elements, often through the internal planning of sequences that assemble these elements into new configurations. Although the hippocampus and medial prefrontal cortex (mPFC) are known to support such flexible planning, the neuronal mechanisms underlying their interaction remain unclear. Here we recorded high-resolution intracranial electroencephalography simultaneously from the hippocampus and cortical regions of 28 patients with epilepsy performing two LEGO-like inference tasks. We replicated key neuroimaging findings and, crucially, reveal how mPFC representations are dynamically updated around hippocampal ripples to encode inferred solutions as compositional structures. Hippocampal ripples shift mPFC representations toward the inferred relational configuration, facilitated by replay that reorganizes building blocks into candidate sequences. Replay is strongest during ripple periods, closely coordinates with mPFC activity and is predictive of efficient inferential behavior. Together, hippocampal ripples and replay emerge as a key mechanism for dynamically updating cortical representations online to support planning and inference.

Indexed as

HippocampusNeocortexPrefrontal CortexAdultBrain MappingElectrocorticographyElectroencephalographyEpilepsyFemaleHumansMaleYoung Adult

Identifiers

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Registered trials

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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.