Timing of brain entrainment to the speech envelope during speaking, listening and self-listening

Pérez, A., Davis, M. H., Ince, R. A.A. , Zhang, H., Fu, Z., Lamarca, M., Lambon Ralph, M. A. and Monahan, P. J. (2022) Timing of brain entrainment to the speech envelope during speaking, listening and self-listening. Cognition, 224, 105051. (doi: 10.1016/j.cognition.2022.105051) (PMID:35219954) (PMCID:PMC9112165)

[img] Text
263814.pdf - Published Version
Available under License Creative Commons Attribution.

3MB

Abstract

⁠This study investigates the dynamics of speech envelope tracking during speech production, listening and self-listening. We use a paradigm in which participants listen to natural speech (Listening), produce natural speech (Speech Production), and listen to the playback of their own speech (Self-Listening), all while their neural activity is recorded with EEG. After time-locking EEG data collection and auditory recording and playback, we used a Gaussian copula mutual information measure to estimate the relationship between information content in the EEG and auditory signals. In the 2–10 Hz frequency range, we identified different latencies for maximal speech envelope tracking during speech production and speech perception. Maximal speech tracking takes place approximately 110 ms after auditory presentation during perception and 25 ms before vocalisation during speech production. These results describe a specific timeline for speech tracking in speakers and listeners in line with the idea of a speech chain and hence, delays in communication.

Item Type:Articles
Additional Information:AP received funding from the European Union's Horizon 2020 Research and Innovation Programme under the Marie Sklodowska-Curie grant agreement No 840885. MHD received intramural funding from the Medical Research Council (MC_UU_0005/5). RAAI was supported by the Wellcome Trust [214120/Z/18/Z]. MALR was supported by an ERC Advanced grant (GAP: 670428 - BRAIN2MIND_NEUROCOMP) and intramural funding from the Medical Research Council (MC_UU_00005/18). This work received funding from the Social Sciences and Humanities Research Council (SSHRC) of Canada (IDG 430-15-00647), and the Natural Sciences and Engineering Council (NSERC) of Canada (RGPIN-2017-06053) granted to PJM.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Ince, Dr Robin
Creator Roles:
Ince, R. A.A.Methodology, Software, Writing – review and editing
Authors: Pérez, A., Davis, M. H., Ince, R. A.A., Zhang, H., Fu, Z., Lamarca, M., Lambon Ralph, M. A., and Monahan, P. J.
College/School:College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience
Journal Name:Cognition
Publisher:Elsevier
ISSN:0010-0277
ISSN (Online):1873-7838
Published Online:24 February 2022
Copyright Holders:Copyright © 2022 The Authors
First Published:First published in Cognition 224: 105051
Publisher Policy:Reproduced under a Creative Commons License

University Staff: Request a correction | Enlighten Editors: Update this record

Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
304240Beyond Pairwise Connectivity: developing an information theoretic hypergraph methodology for multi-modal resting state neuroimaging analysisRobin InceWellcome Trust (WELLCOTR)214120/Z/18/ZCentre for Cognitive Neuroimaging