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• W2607355462 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." @default.
• W2607355462 created "2017-04-28" @default.
• W2607355462 creator A5000074002 @default.
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• W2607355462 date "2018-12-01" @default.
• W2607355462 modified "2023-10-03" @default.
• W2607355462 title "Sensorimotor activity measured via oscillations of EEG mu rhythms in speech and non-speech discrimination tasks with and without segmentation demands" @default.
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• W2607355462 doi "https://doi.org/10.1016/j.bandl.2017.03.011" @default.
• W2607355462 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28431691" @default.
• W2607355462 hasPublicationYear "2018" @default.
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