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Article details
Title
Trait related sensorimotor deficits in people who stutter: An EEG investigation of μ rhythm dynamics during spontaneous fluency
Published in
NeuroImage: Clinical, May 2018
DOI 10.1016/j.nicl.2018.05.026
Pubmed ID
Authors
Abstract

Stuttering is associated with compromised sensorimotor control (i.e., internal modeling) across the dorsal stream and oscillations of EEG mu (μ) rhythms have been proposed as reliable indices of anterior dorsal stream processing. The purpose of this study was to compare μ rhythm oscillatory activity between (PWS) and matched typically fluent speakers (TFS) during spontaneously fluent overt and covert speech production tasks. Independent component analysis identified bilateral μ components from 24/27 PWS and matched TFS that localized over premotor cortex. Time-frequency analysis of the left hemisphere μ clusters demonstrated significantly reduced μ-α and μ-β ERD (pCLUSTER < 0.05) in PWS across the time course of overt and covert speech production, while no group differences were found in the right hemisphere in any condition. Results were interpreted through the framework of State Feedback Control. They suggest that weak forward modeling and evaluation of sensory feedback across the time course of speech production characterizes the trait related sensorimotor impairment in PWS. This weakness is proposed to represent an underlying sensorimotor instability that may predispose the speech of PWS to breakdown.

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X Demographics

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 84 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 11 13%
Researcher 11 13%
Student > Master 10 12%
Student > Doctoral Student 6 7%
Professor 6 7%
Other 9 11%
Unknown 31 37%
Readers by discipline
Readers by discipline Count As %
Neuroscience 17 20%
Psychology 10 12%
Medicine and Dentistry 5 6%
Nursing and Health Professions 4 5%
Engineering 4 5%
Other 11 13%
Unknown 33 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 June 2018.
All research outputs
#22,392,566
of 27,396,316 outputs
Outputs from NeuroImage: Clinical
#2,406
of 2,864 outputs
Outputs of similar age
#273,040
of 347,852 outputs
Outputs of similar age from NeuroImage: Clinical
#71
of 82 outputs
Altmetric has tracked 27,396,316 research outputs across all sources so far. This one is in the 9th percentile – i.e., 9% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,864 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
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We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.