Functional identification of language-responsive sensors in individual participants in MEG investigations

Journal of Neurophysiology 2026 Open access

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Authors: Mathias Huybrechts, Rose Bruffaerts, Alvincé L. Pongos, Cory Shain, Benjamin Lipkin, Matthew Siegelman, Vincent Wens, Martin Sjøgård, Idan Blank, Serge Goldman, Xavier De Tiège, Evelina G. Fedorenko
DOI: 10.1152/jn.00628.2025
Cited by: 1
References: 66

Abstract

Language areas vary across individuals, challenging traditional group-averaged brain-imaging approaches. Using an fMRI-based strategy, this study validates that functionally localizing language responses within individuals improves sensitivity in magnetoencephalography (MEG). Across Dutch and English speakers, language-related sensor and source topographies were stable within individuals but varied between individuals. Individual-level functional identification thus enhances MEG analyses, enabling precise investigations of language processing with both high temporal resolution and whole brain coverage.

Fields of Study & Subjects

Neurobiology of Language and Bilingualism Face Recognition and Perception Action Observation and Synchronization

Publication details

Journal / source
Journal of Neurophysiology
Publisher
American Physiological Society
Volume
136
Issue
3
Pages
1075–1085
Publication date
18 August 2026
Language
EN