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Lookup NU author(s): Dr Maryam Aghamolaei, Abishek Umashankar, Ekaterina Yukhnovich, Professor Tim GriffithsORCiD, Dr Kai AlterORCiD, Dr William Sedley
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© The Author(s) 2026.Mismatch negativity (MMN) is widely used to study sensory function and its clinically-relevant perturbations, and is modulated by the preceding statistical stimulus context, e.g. standard deviation (SD) of tone frequencies. It is unknown whether similar statistical modulation applies to changes in stimulus intensity; whilst MMN is elicited by intensity changes, intensity is encoded differently to other sensory features, including non-topographic organisation, and absence of single-unit responses to intensity decreases. In two related EEG experiments on normal-hearing volunteers (n = 17/15), we replicate findings from other stimulus properties, showing that MMN to intensity deviants is larger within a low-SD stimulus context. However, we found several differences between high- and low- (vs. standard) intensity deviants. Statistical modulation of high-intensity MMN began earlier, and was robust across both experiments. Low-intensity MMN modulation began later, and was only elicited by one of the two experimental paradigms, which we suspect indicates that adaptation over long timescales and/or higher cortical levels may be required for its statistical modulation.
Author(s): Aghamolaei M, Umashankar A, Yukhnovich E, Chait M, Griffiths TD, Alter K, Sedley W
Publication type: Article
Publication status: Published
Journal: Scientific Reports
Year: 2026
Volume: 16
Issue: 1
Online publication date: 04/06/2026
Acceptance date: 21/05/2026
Date deposited: 25/08/2026
ISSN (electronic): 2045-2322
Publisher: Nature Research
URL: https://doi.org/10.1038/s41598-026-55029-3
DOI: 10.1038/s41598-026-55029-3
Data Access Statement: Data are available on the Open Science Framework website via registration DOI https://doi.org/10.17605/OSF.IO/Y9MF3 which is linked to project https://osf.io/vn2dt.
PubMed id: 42243202
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