electroencephalography; frequency tagging; magnetoencephalography; source estimation; visual word recognition; Neuroscience (miscellaneous)
Abstract :
[en] Fast periodic visual stimulation (FPVS) allows the objective measurement of brain responses of human word discrimination (i.e., reproducible word-category-selective responses) with a high signal-to-noise ratio. This approach has been successfully employed over the last decade in a number of scalp electroencephalography (EEG) studies. Three important advances for research on word-selective brain responses were achieved in the present study: (1) we extend previous evidence of robust word-category-selective responses to the English language, (2) report results for combined EEG and MEG signals, and (3) source estimation results. English words were presented periodically (2 Hz) among different types of letter strings (10 Hz; consonant strings, non-words, pseudo-words) while recording simultaneous EEG and MEG in 25 participants who performed a simple non-linguistic colour detection task. Data were analysed in sensor and in source space. With only 4 minutes of stimulation, we observed a robust word discrimination response in each condition, even when words were embedded in sequences of word-like pseudo-words. This response was larger in non-words and largest in consonant strings. We observed left-lateralised responses in all conditions in the majority of our participants. Cluster-based permutation tests revealed that these responses were left-lateralised in sensor as well as in source space, with peaks in left posterior regions. Our results demonstrate that the FPVS approach can elicit robust English word discrimination responses in EEG and MEG within only a few minutes of recording time. Together with source estimation, this can provide novel insights into the neural basis of visual word recognition in healthy and clinical populations.
Disciplines :
Neurosciences & behavior
Author, co-author :
Hauk, Olaf; MRC Cognition and Brain Sciences Unit, University of Cambridge, United Kingdom
MARCHIVE, Marion ✱; University of Luxembourg ; Université de Lorraine, CNRS, UMR 7365, Nancy, France
Volfart, Angelique; School of Psychology and Counselling, Faculty of Health, Queensland University of Technology, Brisbane, Australia
SCHILTZ, Christine ; University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS) > Cognitive Science and Assessment
Rossion, Bruno; Université de Lorraine, CNRS, UMR 7365, Nancy, France ; Université de Lorraine, CHRU-Nancy, Service de Neurologie, Nancy, France
Ralph, Matthew A. Lambon; MRC Cognition and Brain Sciences Unit, University of Cambridge, United Kingdom
LOCHY, Aliette ; University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS) > Cognitive Science and Assessment ; Research Institute for Psychological Science, University of Louvain, Belgium
✱ These authors have contributed equally to this work.
External co-authors :
yes
Language :
English
Title :
Word-selective EEG/MEG responses in the English language obtained with fast periodic visual stimulation (FPVS)
The project was partly funded by a Lorraine Universit\u00E9 d\u2019Excellence (LUE) grant to foster international collaborations between Universit\u00E9 de Lorraine and University of Luxembourg (UL_IRP 2022). A.L. is supported by the Fonds National de la Recherche du Luxembourg (FNR-CORE C21/SC/16241557/READINGBRAIN). M.A.L.R. and O.H. are supported by intra-mural funding from the Medical Research Council (UK: MC_UU_00030/9). M.M. is supported by Lorraine Universit\u00E9 d\u2019Excellence with a DrEAM grant. For the purpose of open access, the author has applied a CC BY public copy-right license to any Author Accepted Manuscript version arising from this submission.
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