Beta peaks (mu-beta) are sensitive to changes in timing and capture motor-to-sensory (i.e., forward model) projections.
![stuttering song 2016 stuttering song 2016](https://ars.els-cdn.com/content/image/1-s2.0-S0093934X18302463-gr1.jpg)
More specifically, alpha peaks (mu-alpha) are sensitive to basal ganglia-based inhibitory signals and sensory-to-motor feedback. They emanate from premotor/motor regions and are influenced by basal ganglia and sensorimotor function. Mu rhythms are characterized by spectral peaks in alpha (8–13 Hz) and beta (14–25 Hz) frequency bands (mu-alpha and mu-beta). We review some previous findings of mu rhythm activity differentiating stuttering from non-stuttering individuals and present some new preliminary findings capturing stuttering-related deficits in working memory. Herein, we examine the suitability of electroencephalographic (EEG) mu rhythms for addressing these deficits. However, much remains to be learned regarding the precise manner how these deficits contribute to disrupting both speech and cognitive functions in those who stutter.
![stuttering song 2016 stuttering song 2016](https://icsvideos.icu/images/fefe-dobson-stuttering_uxl9bo3n/10.jpg)
![stuttering song 2016 stuttering song 2016](https://longreadsblog.files.wordpress.com/2017/08/20170803-stuttering.jpg)
Bowers 2, Daniel Hudock 3 and Tim Saltuklaroglu 4*