ArticleFrontiers in human neuroscience2019
The Application of EEG Mu Rhythm Measures to Neurophysiological Research in Stuttering.
Article in Frontiers in human neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 59 citations in OpenAlex.
- Speech Perception and Preparation Are Supported by Distinct Neural Dynamics Across Development.Neurobiology of language (Cambridge, Mass.) · 2026Article
- Active avoidance of potential threat is reflected in oscillatory brain activity.Scientific reports · 2025Article
- Visual congruency of performers' movements enhances vocal music reward through Mu entrainment.Social cognitive and affective neuroscience · 2025Article
- Investigating mu and alpha oscillations as indicators of intra-individual success and inter-individual ability in motor imagery performance.Frontiers in psychology · 2025Article
- An active inference account of stuttering behavior.Frontiers in human neuroscience · 2025Article
- Functional Roles of Sensorimotor Alpha and Beta Oscillations in Overt Speech Production.bioRxiv : the preprint server for biology · 2024Article
- Exploring EEG Responses during Observation of Actions Performed by Human Actor and Humanoid Robot.Proceedings of the ... IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics. IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics · 2024Article
- Psychedelics in developmental stuttering to modulate brain functioning: a new therapeutic perspective?Frontiers in human neuroscience · 2024Article
- Neural oscillations reveal disrupted functional connectivity associated with impaired speech auditory feedback control in post-stroke aphasia.Cortex; a journal devoted to the study of the nervous system and behavior · 2023Article
- Aberrant modulation of broadband neural oscillations reflects vocal sensorimotor deficits in post-stroke aphasia.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2023Article
- Dissecting structural connectivity of the left and right inferior frontal cortex in children who stutter.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Brain activity during the preparation and production of spontaneous speech in children with persistent stuttering.NeuroImage. Clinical · 2023Article
- ECG Approximate Entropy in the Elderly during Cycling Exercise.Sensors (Basel, Switzerland) · 2022Article
- Response-related sensorimotor rhythms under scopolamine and MK-801 exposures in the touchscreen visual discrimination test in rats.Scientific reports · 2022Article
- Green tea consumption and the management of adrenal stress hormones in adolescents who stutter.Biomedical reports · 2022Article
- Enhanced Recognition of Amputated Wrist and Hand Movements by Deep Learning Method Using Multimodal Fusion of Electromyography and Electroencephalography.Sensors (Basel, Switzerland) · 2022Article
- Effect of the Menstrual Cycle on Electroencephalogram Alpha and Beta Bands During Motor Imagery and Action Observation.Frontiers in human neuroscience · 2022Article
- The Dopamine System and Automatization of Movement Sequences: A Review With Relevance for Speech and Stuttering.Frontiers in human neuroscience · 2021Review
- Speech Fluency Improvement in Developmental Stuttering Using Non-invasive Brain Stimulation: Insights From Available Evidence.Frontiers in human neuroscience · 2021Review
- Stuttering: A Disorder of Energy Supply to Neurons?Frontiers in human neuroscience · 2021Article
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 1 country.
Funding
Abstract
Deficits in basal ganglia-based inhibitory and timing circuits along with sensorimotor internal modeling mechanisms are thought to underlie stuttering. 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. Herein, we examine the suitability of electroencephalographic (EEG) mu rhythms for addressing these deficits. 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. Mu rhythms are characterized by spectral peaks in alpha (8-13 Hz) and beta (14-25 Hz) frequency bands (mu-alpha and mu-beta). They emanate from premotor/motor regions and are influenced by basal ganglia and sensorimotor function. More specifically, alpha peaks (mu-alpha) are sensitive to basal ganglia-based inhibitory signals and sensory-to-motor feedback. Beta peaks (mu-beta) are sensitive to changes in timing and capture motor-to-sensory (i.e., forward model) projections. Observing simultaneous changes in mu-alpha and mu-beta across the time-course of specific events provides a rich window for observing neurophysiological deficits associated with stuttering in both speech and cognitive tasks and can provide a better understanding of the functional relationship between these stuttering symptoms. We review how independent component analysis (ICA) can extract mu rhythms from raw EEG signals in speech production tasks, such that changes in alpha and beta power are mapped to myogenic activity from articulators. We review findings from speech production and auditory discrimination tasks demonstrating that mu-alpha and mu-beta are highly sensitive to capturing sensorimotor and basal ganglia deficits associated with stuttering with high temporal precision. Novel findings from a non-word repetition (working memory) task are also included. They show reduced mu-alpha suppression in a stuttering group compared to a typically fluent group. Finally, we review current limitations and directions for future research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.