The predictive roles of neural oscillations in speech motor adaptability
Author(s) -
Ranit Sengupta,
Sazzad M. Nasir
Publication year - 2016
Publication title -
journal of neurophysiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.302
H-Index - 245
eISSN - 1522-1598
pISSN - 0022-3077
DOI - 10.1152/jn.00043.2016
Subject(s) - flexibility (engineering) , adaptability , speech production , adaptation (eye) , electroencephalography , neurocomputational speech processing , motor system , neuroscience , sensory system , speech recognition , psychology , computer science , artificial neural network , motor learning , speech perception , artificial intelligence , biology , perception , ecology , statistics , mathematics
The human speech system exhibits a remarkable flexibility by adapting to alterations in speaking environments. While it is believed that speech motor adaptation under altered sensory feedback involves rapid reorganization of speech motor networks, the mechanisms by which different brain regions communicate and coordinate their activity to mediate adaptation remain unknown, and explanations of outcome differences in adaption remain largely elusive. In this study, under the paradigm of altered auditory feedback with continuous EEG recordings, the differential roles of oscillatory neural processes in motor speech adaptability were investigated. The predictive capacities of different EEG frequency bands were assessed, and it was found that theta-, beta-, and gamma-band activities during speech planning and production contained significant and reliable information about motor speech adaptability. It was further observed that these bands do not work independently but interact with each other suggesting an underlying brain network operating across hierarchically organized frequency bands to support motor speech adaptation. These results provide novel insights into both learning and disorders of speech using time frequency analysis of neural oscillations.
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