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EEG Mu (µ) rhythm spectra and oscillatory activity differentiate stuttering from non-stuttering adults

Overview of attention for article published in NeuroImage, April 2017
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Article details
Title
EEG Mu (µ) rhythm spectra and oscillatory activity differentiate stuttering from non-stuttering adults
Published in
NeuroImage, April 2017
DOI 10.1016/j.neuroimage.2017.04.022
Pubmed ID
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Abstract

Stuttering is linked to sensorimotor deficits related to internal modeling mechanisms. This study compared spectral power and oscillatory activity of EEG mu (μ) rhythms between persons who stutter (PWS) and controls in listening and auditory discrimination tasks. EEG data were analyzed from passive listening in noise and accurate (same/different) discrimination of tones or syllables in quiet and noisy backgrounds. Independent component analysis identified left and/or right μ rhythms with characteristic alpha (α) and beta (β) peaks localized to premotor/motor regions in 23 of 27 people who stutter (PWS) and 24 of 27 controls. PWS produced μ spectra with reduced β amplitudes across conditions, suggesting reduced forward modeling capacity. Group time-frequency differences were associated with noisy conditions only. PWS showed increased μ-β desynchronization when listening to noise and early in discrimination events, suggesting evidence of heightened motor activity that might be related to forward modeling deficits. PWS also showed reduced μ-α synchronization in discrimination conditions, indicating reduced sensory gating. Together these findings indicate spectral and oscillatory analyses of μ rhythms are sensitive to stuttering. More specifically, they can reveal stuttering-related sensorimotor processing differences in listening and auditory discrimination that also may be influenced by basal ganglia deficits.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 119 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 %
Mexico 1 <1%
Unknown 118 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 19 16%
Student > Master 16 13%
Researcher 13 11%
Student > Bachelor 6 5%
Professor 6 5%
Other 17 14%
Unknown 42 35%
Readers by discipline
Readers by discipline Count As %
Neuroscience 20 17%
Psychology 12 10%
Engineering 8 7%
Linguistics 6 5%
Medicine and Dentistry 6 5%
Other 16 13%
Unknown 51 43%
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 09 April 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from NeuroImage
#11,627
of 12,206 outputs
Outputs of similar age
#284,742
of 324,806 outputs
Outputs of similar age from NeuroImage
#198
of 212 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,206 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 212 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.