Evidence for a Resting State Network Abnormality in Adults Who Stutter
Neural network-based investigations of stuttering have begun to provide a possible integrative account for the large number of brain-based anomalies associated with stuttering. Here we used resting-state EEG to investigate functional brain networks in adults who stutter (AWS). Participants were 19 A...
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doaj-146a678a4fab40c286b95ca4ee00dc922020-11-24T20:51:06ZengFrontiers Media S.A.Frontiers in Integrative Neuroscience1662-51452018-04-011210.3389/fnint.2018.00016339296Evidence for a Resting State Network Abnormality in Adults Who StutterAmir H. Ghaderi0Amir H. Ghaderi1Masoud N. Andevari2Masoud N. Andevari3Paul F. Sowman4Paul F. Sowman5Cognitive Neuroscience Laboratory, University of Tabriz, Tabriz, IranIranian Neuro-wave Laboratory, Center of Isfahan, Isfahan, IranIranian Neuro-wave Laboratory, Center of Isfahan, Isfahan, IranDepartment of Physics, School of Basic Science, Babol Noshirvani University of Technology, Babol, IranDepartment of Cognitive Science, Faculty of Human Sciences, Macquarie University, Sydney, NSW, AustraliaARC Centre of Excellence in Cognition and its Disorders, Macquarie University, Sydney, NSW, AustraliaNeural network-based investigations of stuttering have begun to provide a possible integrative account for the large number of brain-based anomalies associated with stuttering. Here we used resting-state EEG to investigate functional brain networks in adults who stutter (AWS). Participants were 19 AWS and 52 age-, and gender-matched normally fluent speakers. EEGs were recorded and connectivity matrices were generated by LORETA in the theta (4–8 Hz), alpha (8–12 Hz), beta1 (12–20 Hz), and beta2 (20–30 Hz) bands. Small-world propensity (SWP), shortest path, and clustering coefficients were computed for weighted graphs. Minimum spanning tree analysis was also performed and measures were compared by non-parametric permutation test. The results show that small-world topology was evident in the functional networks of all participants. Three graph indices (diameter, clustering coefficient, and shortest path) exhibited significant differences between groups in the theta band and one [maximum betweenness centrality (BC)] measure was significantly different between groups in the beta2 band. AWS show higher BC than control in right temporal and inferior frontal areas and lower BC in the right primary motor cortex. Abnormal functional networks during rest state suggest an anomaly of DMN activity in AWS. Furthermore, functional segregation/integration deficits in the theta network are evident in AWS. These deficits reinforce the hypothesis that there is a neural basis for abnormal executive function in AWS. Increased beta2 BC in the right speech–motor related areas confirms previous evidence that right audio–speech areas are over-activated in AWS. Decreased beta2 BC in the right primary motor cortex is discussed in relation to abnormal neural mechanisms associated with time perception in AWS.http://journal.frontiersin.org/article/10.3389/fnint.2018.00016/fullstutteringfunctional brain networksminimum spanning treeexecutive functiontime perception |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Amir H. Ghaderi Amir H. Ghaderi Masoud N. Andevari Masoud N. Andevari Paul F. Sowman Paul F. Sowman |
spellingShingle |
Amir H. Ghaderi Amir H. Ghaderi Masoud N. Andevari Masoud N. Andevari Paul F. Sowman Paul F. Sowman Evidence for a Resting State Network Abnormality in Adults Who Stutter Frontiers in Integrative Neuroscience stuttering functional brain networks minimum spanning tree executive function time perception |
author_facet |
Amir H. Ghaderi Amir H. Ghaderi Masoud N. Andevari Masoud N. Andevari Paul F. Sowman Paul F. Sowman |
author_sort |
Amir H. Ghaderi |
title |
Evidence for a Resting State Network Abnormality in Adults Who Stutter |
title_short |
Evidence for a Resting State Network Abnormality in Adults Who Stutter |
title_full |
Evidence for a Resting State Network Abnormality in Adults Who Stutter |
title_fullStr |
Evidence for a Resting State Network Abnormality in Adults Who Stutter |
title_full_unstemmed |
Evidence for a Resting State Network Abnormality in Adults Who Stutter |
title_sort |
evidence for a resting state network abnormality in adults who stutter |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Integrative Neuroscience |
issn |
1662-5145 |
publishDate |
2018-04-01 |
description |
Neural network-based investigations of stuttering have begun to provide a possible integrative account for the large number of brain-based anomalies associated with stuttering. Here we used resting-state EEG to investigate functional brain networks in adults who stutter (AWS). Participants were 19 AWS and 52 age-, and gender-matched normally fluent speakers. EEGs were recorded and connectivity matrices were generated by LORETA in the theta (4–8 Hz), alpha (8–12 Hz), beta1 (12–20 Hz), and beta2 (20–30 Hz) bands. Small-world propensity (SWP), shortest path, and clustering coefficients were computed for weighted graphs. Minimum spanning tree analysis was also performed and measures were compared by non-parametric permutation test. The results show that small-world topology was evident in the functional networks of all participants. Three graph indices (diameter, clustering coefficient, and shortest path) exhibited significant differences between groups in the theta band and one [maximum betweenness centrality (BC)] measure was significantly different between groups in the beta2 band. AWS show higher BC than control in right temporal and inferior frontal areas and lower BC in the right primary motor cortex. Abnormal functional networks during rest state suggest an anomaly of DMN activity in AWS. Furthermore, functional segregation/integration deficits in the theta network are evident in AWS. These deficits reinforce the hypothesis that there is a neural basis for abnormal executive function in AWS. Increased beta2 BC in the right speech–motor related areas confirms previous evidence that right audio–speech areas are over-activated in AWS. Decreased beta2 BC in the right primary motor cortex is discussed in relation to abnormal neural mechanisms associated with time perception in AWS. |
topic |
stuttering functional brain networks minimum spanning tree executive function time perception |
url |
http://journal.frontiersin.org/article/10.3389/fnint.2018.00016/full |
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