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CC BY V4.0, Open Access
Journal article
Audiovisual incongruence differentially impacts left and right hemisphere sensorimotor oscillations: Potential applications to production
PloS one, Vol.16(10), pp.e0258335-e0258335
10/07/2021
PMID: 34618866
Abstract
Speech production gives rise to distinct auditory and somatosensory feedback signals which are dynamically integrated to enable online monitoring and error correction, though it remains unclear how the sensorimotor system supports the integration of these multimodal signals. Capitalizing on the parity of sensorimotor processes supporting perception and production, the current study employed the McGurk paradigm to induce multimodal sensory congruence/incongruence. EEG data from a cohort of 39 typical speakers were decomposed with independent component analysis to identify bilateral mu rhythms; indices of sensorimotor activity. Subsequent time-frequency analyses revealed bilateral patterns of event related desynchronization (ERD) across alpha and beta frequency ranges over the time course of perceptual events. Right mu activity was characterized by reduced ERD during all cases of audiovisual incongruence, while left mu activity was attenuated and protracted in McGurk trials eliciting sensory fusion. Results were interpreted to suggest distinct hemispheric contributions, with right hemisphere mu activity supporting a coarse incongruence detection process and left hemisphere mu activity reflecting a more granular level of analysis including phonological identification and incongruence resolution. Findings are also considered in regard to incongruence detection and resolution processes during production.
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Details
- Title
- Audiovisual incongruence differentially impacts left and right hemisphere sensorimotor oscillations
- Creators
- David Jenson (Author)
- Publication Details
- PloS one, Vol.16(10), pp.e0258335-e0258335
- Academic Unit
- Speech and Hearing Sciences, Department of
- Publisher
- Public Library Science
- Identifiers
- 99901007440301842
- Language
- English
- Resource Type
- Journal article