Journal article
EEG mu rhythms: Rich sources of sensorimotor information in speech processing
Brain and language, Vol.187, pp.41-61
12/01/2018
PMID: 30509381
Abstract
Highlights:
ICA reveals mu rhythms with alpha and beta spectral peaks from sensorimotor cortex.
Time-frequency analysis of mu-beta activity is evidence of motor-based prediction.
Time-frequency analysis of mu-alpha activity reflects multimodal sensory feedback.
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Details
- Title
- EEG mu rhythms
- Creators
- Tim Saltuklaroglu (Author) - Department of Audiology and Speech-Language Pathology, University of Tennessee Health Sciences, Knoxville, TN 37996, USA. Electronic address: tsaltukl@uthsc.eduAndrew L. Bowers (Author) - University of Arkansas, Epley Center for Health Professions, 606 N. Razorback Road, Fayetteville, AR 72701, USAAshley Harkrider (Author) - Department of Audiology and Speech-Language Pathology, University of Tennessee Health Sciences, Knoxville, TN 37996, USADevin Casenhiser (Author) - Department of Audiology and Speech-Language Pathology, University of Tennessee Health Sciences, Knoxville, TN 37996, USAKevin J. Reilly (Author) - Department of Audiology and Speech-Language Pathology, University of Tennessee Health Sciences, Knoxville, TN 37996, USADavid Jenson (Author)David Thornton (Author) - Department of Hearing, Speech, and Language Sciences, Gallaudet University, 800 Florida Avenue NE, Washington, DC 20002, USA
- Publication Details
- Brain and language, Vol.187, pp.41-61
- Academic Unit
- Speech and Hearing Sciences, Department of
- Identifiers
- 99901007439001842
- Language
- English
- Resource Type
- Journal article