Evidence map›Paper›PMID 42439193›Full record

ArticleeLife2026

Human cerebellum and ventral tegmental area interact during extinction of learned fear.

Enzo Nio, Patrick Pais Pereira, Nicolas Diekmann, Mykola Petrenko, Alice Doubliez, Thomas Michael Ernst, Giorgi Batsikadze, Stefan Maderwald, Cornelius Deuschl, Metin Üngör and 4 more

Abstract read
In one paragraph

Article in eLife, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Article
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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.

Enzo NioDepartment of Neurology and Center for Translational Neuro- and Behavioral Sciences (C TNBS), Essen University Hospital, University of Duisburg-Essen, Essen, Germany.ORCID https://orcid.org/0000-0001-8006-8993
Patrick Pais PereiraDepartment of Neurology and Center for Translational Neuro- and Behavioral Sciences (C TNBS), Essen University Hospital, University of Duisburg-Essen, Essen, Germany.ORCID https://orcid.org/0009-0004-8200-7931
Nicolas DiekmannInstitute for Neural Computation, Faculty of Computer Science, Ruhr University Bochum, Bochum, Germany.ORCID https://orcid.org/0000-0003-3638-7617
Mykola PetrenkoDepartment of Neurology and Center for Translational Neuro- and Behavioral Sciences (C TNBS), Essen University Hospital, University of Duisburg-Essen, Essen, Germany.
Alice DoubliezDepartment of Neurology and Center for Translational Neuro- and Behavioral Sciences (C TNBS), Essen University Hospital, University of Duisburg-Essen, Essen, Germany.ORCID https://orcid.org/0000-0002-1736-5458
Thomas Michael ErnstDepartment of Neurology and Center for Translational Neuro- and Behavioral Sciences (C TNBS), Essen University Hospital, University of Duisburg-Essen, Essen, Germany.ORCID https://orcid.org/0000-0002-2170-9241
Giorgi BatsikadzeDepartment of Neurology and Center for Translational Neuro- and Behavioral Sciences (C TNBS), Essen University Hospital, University of Duisburg-Essen, Essen, Germany.ORCID https://orcid.org/0000-0002-0517-0119
Stefan MaderwaldErwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, Essen, Germany.
Cornelius DeuschlInstitute for Diagnostic and Interventional Radiology and Neuroradiology, Essen University Hospital, University of Duisburg-Essen, Essen, Germany.ORCID https://orcid.org/0000-0001-9262-7289
Metin ÜngörDepartment of Psychology, Philipps-University Marburg, Marburg, Germany.ORCID https://orcid.org/0000-0001-5453-2860
Sen ChengInstitute for Neural Computation, Faculty of Computer Science, Ruhr University Bochum, Bochum, Germany.ORCID https://orcid.org/0000-0002-6719-8029
Christian Josef MerzDepartment of Cognitive Psychology, Institute of Cognitive Neuroscience, Ruhr University Bochum, Bochum, Germany.ORCID https://orcid.org/0000-0001-5679-6595
Harald H QuickErwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, Essen, Germany.
Dagmar TimmannDepartment of Neurology and Center for Translational Neuro- and Behavioral Sciences (C TNBS), Essen University Hospital, University of Duisburg-Essen, Essen, Germany.ORCID https://orcid.org/0000-0003-1935-416X

Funding

Deutsche Forschungsgemeinschaft 432647511Deutsche Forschungsgemeinschaft SFB1280 - Project number 316803389European Union Horizon 2020 10.3030/956414Hans Böckler Stiftung Individual scholarship
6 · The paper itself

Abstract

The key elements for fear extinction learning are unexpected omissions of expected aversive events, which are considered to be rewarding. Given its reception of reward information, we tested the hypothesis that the cerebellum contributes to reward-like prediction error processing driving extinction learning via its connections with the ventral tegmental area (VTA). Forty-three young and healthy participants performed a three-day fear conditioning paradigm in a 7T MR scanner. The cerebellum and VTA were active during unexpected omissions of aversive unconditioned stimuli in the initial extinction trials and in other learning phases, in line with the proposed role of prediction-error processing. Increased functional connectivity was observed between the cerebellum and VTA, indicating that they are functionally coupled during fear extinction learning. These results suggest that an interaction between the cerebellum and VTA should be incorporated into the existing model of the fear extinction network.

Indexed as

CerebellumExtinction, PsychologicalFearLearningVentral Tegmental AreaAdultFemaleHumansMagnetic Resonance ImagingMaleYoung Adultcerebellumemotional learningfear extinctionfMRIhumanneuroscienceprediction errorventral tegmental area

Identifiers

PMID42439193
PMCPMC13363218

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.