Functional identification of language-responsive sensors in individual participants in MEG investigations
Year: 2026
Type: article
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.
Source: Journal of Neurophysiology
Institutions: University of Antwerp, Massachusetts Institute of Technology, KU Leuven, University of California, San Francisco, University of California, Berkeley, Stanford University, Columbia University, Université Libre de Bruxelles, Erasmus Hospital, Harvard University, Massachusetts General Hospital, University of California, Los Angeles, McGovern Institute for Brain Research
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: hybrid
Funders: Fonds Wetenschappelijk Onderzoek, Fondation Francqui - Stichting, National Institutes of Health, Simons Center for the Social Brain, Massachusetts Institute of Technology, McGovern Institute for Brain Research, Massachusetts Institute of Technology, National Institute on Deafness and Other Communication Disorders, National Institute of Neurological Disorders and Stroke
Awards: G1780151003, Sentence construction in health and neurological disease: an individualized approach using magnetoencephalography and contextualized models of meaning, Representation of concepts in health & neurodegenerative disease: a subject-specific multivariate approach based on representational similarity analysis using fMRI and MEG, Elucidating the time course of semantic processing of written words, spoken words and pictures by means of multivariate MEG analysis, The neural architecture of pragmatic processing, Language in vivo and in silico: understanding the neural dynamics of language comprehension in the ageing brain through computational linguistics, G9000096868, G9000244425, Computational Neuroscience of Language Processing in the Human Brain
OpenAlex ID: W7203711017