Evidence map›Paper›PMID 42350816›Full record

ArticleNature neuroscience2026

Human hippocampal ripples tune cortical responses based on predicted uncertainty.

Darya Frank, Stephan Moratti, Robin Hellerstedt, Johannes Sarnthein, Ningfei Li, Andreas Horn, Lukas Imbach, Lennart Stieglitz, Antonio Gil-Nagel, Rafael Toledano and 2 more

Abstract read
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. 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

12 authors.

Darya FrankLaboratory for Clinical Neuroscience, Centre for Biomedical Technology, Universidad Politécnica de Madrid, IdISSC, Madrid, Spain. darya.frank@manchester.ac.uk.ORCID http://orcid.org/0000-0001-6081-6755
Stephan MorattiDepartment of Experimental Psychology, Complutense University of Madrid, Madrid, Spain.ORCID http://orcid.org/0000-0003-0824-8759
Robin HellerstedtLaboratory for Clinical Neuroscience, Centre for Biomedical Technology, Universidad Politécnica de Madrid, IdISSC, Madrid, Spain.ORCID http://orcid.org/0000-0002-6433-4734
Johannes SarntheinDepartment of Neurosurgery, University Hospital and University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0001-9141-381X
Ningfei LiMovement Disorders and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0003-3315-3591
Andreas HornMovement Disorders and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0002-0695-6025
Lukas ImbachNeuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland.
Lennart StieglitzDepartment of Neurosurgery, University Hospital and University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-3744-5105
Antonio Gil-NagelEpilepsy Unit, Department of Neurology, Hospital Ruber Internacional, Madrid, Spain.ORCID http://orcid.org/0000-0003-4515-0793
Rafael ToledanoEpilepsy Unit, Department of Neurology, Hospital Ruber Internacional, Madrid, Spain.
Karl J FristonWellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, UK.ORCID http://orcid.org/0000-0001-7984-8909
Bryan A StrangeLaboratory for Clinical Neuroscience, Centre for Biomedical Technology, Universidad Politécnica de Madrid, IdISSC, Madrid, Spain. bryan.strange@upm.es.ORCID http://orcid.org/0000-0001-6476-4091

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) ERC-2018-COG 819814EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) Specific Grant Agreement No. 945539 (Human Brain Project SGA3)Royal Society URF/R1/241499Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) SNSF 204651Wellcome TrustWellcome Trust (Wellcome) 205103/Z/16/Z
6 · The paper itself

Abstract

To encode information efficiently, our perceptual system should detect when situations are unpredictable (that is, informative) and modulate brain dynamics to prepare for encoding. Under uncertainty, there is an increased need to generate predictions about upcoming information, a process that has been proposed to require coordinated activity between the hippocampus and neocortex. Here we show, with direct recordings from the human hippocampus and visual cortex, that after exposure to unpredictable visual stimulus streams, hippocampal ripple activity increases in frequency and duration before stimulus presentation. Prestimulus hippocampal ripples suppress changes in visual cortex gamma activity associated with uncertainty and modulate poststimulus prediction error gamma responses in higher-level visual cortex to surprising stimuli. We reveal a function of hippocampal ripples in facilitating the propagation of visual stimuli based on the expected information gain. These results, therefore, link hippocampal ripples with predictive coding accounts of neuronal message passing and precision-weighted prediction errors, revealing a mechanism relevant for perceptual synthesis and subsequent memory encoding.

Indexed as

HippocampusVisual CortexVisual PerceptionAdultFemaleHumansMalePhotic StimulationUncertaintyYoung Adult

Identifiers

PMID42350816
PMCPMC13433285

What OpenQuestion holds

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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.