Literature DB >> 28431691

Sensorimotor activity measured via oscillations of EEG mu rhythms in speech and non-speech discrimination tasks with and without segmentation demands.

David Thornton1, Ashley W Harkrider2, David Jenson2, Tim Saltuklaroglu3.   

Abstract

Better understanding of the role of sensorimotor processing in speech and non-speech segmentation can be achieved with more temporally precise measures. Twenty adults made same/different discriminations of speech and non-speech stimuli pairs, with and without segmentation demands. Independent component analysis of 64-channel EEG data revealed clear sensorimotor mu components, with characteristic alpha and beta peaks, localized to premotor regions in 70% of participants.Time-frequency analyses of mu components from accurate trials showed that (1) segmentation tasks elicited greater event-related synchronization immediately following offset of the first stimulus, suggestive of inhibitory activity; (2) strong late event-related desynchronization in all conditions, suggesting that working memory/covert replay contributed substantially to sensorimotor activity in all conditions; (3) stronger beta desynchronization in speech versus non-speech stimuli during stimulus presentation, suggesting stronger auditory-motor transforms for speech versus non-speech stimuli. Findings support the continued use of oscillatory approaches for helping understand segmentation and other cognitive tasks.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28431691     DOI: 10.1016/j.bandl.2017.03.011

Source DB:  PubMed          Journal:  Brain Lang        ISSN: 0093-934X            Impact factor:   2.381


  3 in total

1.  EEG power spectral dynamics associated with listening in adverse conditions.

Authors:  Matthew G Wisniewski; Alexandria C Zakrzewski; Destiny R Bell; Michelle Wheeler
Journal:  Psychophysiology       Date:  2021-06-23       Impact factor: 4.348

2.  Sex differences in early sensorimotor processing for speech discrimination.

Authors:  David Thornton; Ashley W Harkrider; David E Jenson; Tim Saltuklaroglu
Journal:  Sci Rep       Date:  2019-01-23       Impact factor: 4.379

3.  The Application of EEG Mu Rhythm Measures to Neurophysiological Research in Stuttering.

Authors:  David Jenson; Andrew L Bowers; Daniel Hudock; Tim Saltuklaroglu
Journal:  Front Hum Neurosci       Date:  2020-01-10       Impact factor: 3.473

  3 in total

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