Evidence map›Paper›PMID 41288333›Full record

ReviewThe European journal of neuroscience2025

The Somatosensory Mismatch Negativity.

Miro Grundei, Wolfger von der Behrens, Piia Astikainen, Nicole Wetzel, Felix Blankenburg

Abstract readReview
In one paragraph

Review in The European journal of neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. The Somatosensory Mismatch Negativity.The European journal of neuroscience · 2025
    Review
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

5 authors.

Miro GrundeiNeurocomputation and Neuroimaging Unit, Freie Universität Berlin, Berlin, Germany.ORCID 0000-0002-6396-9674
Wolfger von der BehrensInstitute of Neuroinformatics, University and ETH Zurich, Zurich, Switzerland.
Piia AstikainenDepartment of Psychology, University of Jyväskylä, Jyväskylä, Finland.ORCID 0000-0003-4842-7460
Nicole WetzelLeibnitz Institute for Neurobiology, Magdeburg, Germany.
Felix BlankenburgNeurocomputation and Neuroimaging Unit, Freie Universität Berlin, Berlin, Germany.

Funding

German Research Foundation 467143400Swiss National Science Foundation 310030_172962
6 · The paper itself

Abstract

Mismatch negativity (MMN) is a well-established neural signature of automatic change detection in the auditory modality. Growing evidence suggests that analogous responses exist in other sensory domains, including somatosensation. This review provides an initial overview of the somatosensory MMN (sMMN), summarizing findings from both human and animal research concerning its underlying neural mechanisms and functional significance as a predictive error signal. We discuss electrophysiological and neuroimaging evidence identifying primary and secondary somatosensory cortices (S1 and S2) as key generators of the sMMN, highlighting the roles of sensory and stimulus-specific adaptation, as well as true deviance detection or surprise. Computational studies further support a hierarchical inference process, where somatosensory mismatch responses encode probabilistic structures based on transition probabilities of sequential input. We also address the clinical relevance of the sMMN in neurodevelopmental, psychiatric, and neurological disorders, as well as its role in aging and body representation. Understanding the neuronal mechanisms underlying the sMMN not only advances our knowledge of somatosensory predictive processing but also contributes to the broader study of perception and learning in the brain.

Indexed as

Evoked Potentials, SomatosensorySomatosensory CortexAnimalsElectroencephalographyHumansERPmismatch negativitypredictive processingsomatosensory systemsurprise

Identifiers

PMID41288333
PMCPMC12646040

What OpenQuestion holds

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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.