Evidence map›Paper›PMID 42903196›Full record

ArticleFrontiers in human neuroscience2026

Validating electrical stimulation through the somatosensory system: a perspective on mismatch negativity and auditory prostheses.

Sergei Tugin, Polina Pavlova, Natalia Karpova, Boriss Sagalajev

Abstract read
In one paragraph

Article in Frontiers in human 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.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

4 authors.

Sergei TuginResearch Center for Genetics and Life Sciences, Sirius University of Science and Technology, Sirius Federal Territory, Russia.
Polina PavlovaResearch Center for Genetics and Life Sciences, Sirius University of Science and Technology, Sirius Federal Territory, Russia.
Natalia KarpovaCentre for Research on Talent Development, Sirius University of Science and Technology, Sirius Federal Territory, Russia.
Boriss SagalajevResearch Center for Genetics and Life Sciences, Sirius University of Science and Technology, Sirius Federal Territory, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural touch engages specialized mechanoreceptors, while electrotactile stimulation bypasses them, directly depolarizing a mixed and non-uniform population of afferent axons. Whether this difference in peripheral encoding affects the brain predictive processing remains an open empirical question. The mismatch negativity (MMN), an established electroencephalography (EEG) marker of automatic change detection, provides a powerful tool to address this question without perceptual confounds. Somatosensory studies comparing MMN responses to natural versus electrical stimulation within the same healthy individuals can identify candidate mechanisms for testing in the auditory domain, where such designs are inherently not feasible. In particular, they can help disentangle device effects from deafness-related confounds in cochlear implant (CI) users. Existing somatosensory evidence in healthy subjects suggests that electrotactile stimulation elicits mismatch responses with less bilateral integration than natural touch, though this evidence remains limited to a single magnetoencephalography (MEG) study using an oddball paradigm. CI studies are more extensive and show feature-specific MMN deficits. However, they also rely on oddball or multi-feature paradigms that conflate prediction error with sensory adaptation. This Perspective therefore encourages the adoption of alternative MMN paradigms (roving, omission, or local-global) to determine whether electrical stimulation truly engages the brain's predictive machinery. With emerging multimodal stimulators, the somatosensory system offers a valuable

Indexed as

cochlear implantelectrical stimulationevent-related potentials (ERP)mismatch negativity (MMN)predictive codingsomatosensory system

Identifiers

PMID42903196
PMCPMC13680433

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.