Electroencephalographic Classification Reveals Atypical Speech Motor Planning in Stuttering Adults.

Purpose: This study explores speech motor planning in adults who stutter (AWS) and adults who do not stutter (ANS) by applying machine learning algorithms to electroencephalographic (EEG) signals. In this study, we developed a technique to holistically examine neural activity differences in speaking...

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