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Published on: July 2, 2013
Neural Oscillatory Dynamics of Auditory-Motor Integration Deficit During Speech Articulatory Control in Post-Stroke
Vahid Nejati1, John Solorzano-Restrepo1, Yilun Zhang1
1Speech Neuroscience Lab, Department of Speech Language and Hearing, Callier Center for Communication Disorders, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, United States.
None:
Fluent speech relies on sensorimotor integration for the detection and correction of auditory feedback errors via articulatory gesture adjustments. Individuals with post-stroke aphasia exhibit deficits in processing and compensating for errors in their own speech feedback, yet the neural bases of such impairments remain poorly understood. This study used a formant-shifting auditory feedback alteration paradigm to examine the neural oscillatory dynamics of speech articulatory responses in post-stroke aphasia, with a focus on the contribution of frequency-specific activity patterns underlying error monitoring and compensatory behavior. Thirty-one participants with post-stroke aphasia and 34 neurologically intact controls produced a monosyllabic word under randomly presented normal and first-formant-shifted feedback conditions while EEG signals were recorded. Global field power analyses were performed across theta, alpha, low-beta, high-beta, and gamma bands, and linear mixed-effects models assessed group differences across temporal intervals before and after speech. The aphasia group showed reduced theta and alpha desynchronization, weaker low-beta suppression, and markedly elevated high-beta synchronization, particularly during pre-speech and late-production periods. Gamma activity increased from pre-speech to early-production in both groups, but aphasia exhibited a more sustained, effort-related gamma profile rather than the late-phase increase seen in controls. These results indicate widespread and temporally specific neural pathologies in aphasia, including reduced low-frequency desynchronization and exaggerated high-frequency synchronization. These patterns suggest weakened predictive coding and attentional engagement at a global neural scale, coupled with compensatory reliance on local processing. These frequency-specific signatures offer promising biomarkers to guide targeted, neuromodulation-informed rehabilitation strategies for post-stroke aphasia.
