Children With Autism Produce a Unique Pattern of EEG Microstates During an Eyes Closed Resting-State Condition

Although fMRI studies have produced considerable evidence for differences in the spatial connectivity of resting-state brain networks in persons with autism spectrum disorder (ASD) relative to typically developing (TD) peers, little is known about the temporal dynamics of these brain networks in ASD...

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Main Authors: Sahana Nagabhushan Kalburgi, Allison P. Whitten, Alexandra P. Key, James W. Bodfish
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-10-01
Series:Frontiers in Human Neuroscience
Subjects:
EEG
Online Access:https://www.frontiersin.org/article/10.3389/fnhum.2020.00288/full
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spelling doaj-3e14548c49ac41338381e62d39504fa82020-11-25T03:55:09ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612020-10-011410.3389/fnhum.2020.00288558990Children With Autism Produce a Unique Pattern of EEG Microstates During an Eyes Closed Resting-State ConditionSahana Nagabhushan Kalburgi0Allison P. Whitten1Alexandra P. Key2Alexandra P. Key3James W. Bodfish4James W. Bodfish5James W. Bodfish6James W. Bodfish7Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, United StatesVanderbilt University Medical Center, Nashville, TN, United StatesVanderbilt Kennedy Center, Nashville, TN, United StatesDepartment of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN, United StatesVanderbilt Brain Institute, Vanderbilt University, Nashville, TN, United StatesVanderbilt University Medical Center, Nashville, TN, United StatesVanderbilt Kennedy Center, Nashville, TN, United StatesDepartment of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN, United StatesAlthough fMRI studies have produced considerable evidence for differences in the spatial connectivity of resting-state brain networks in persons with autism spectrum disorder (ASD) relative to typically developing (TD) peers, little is known about the temporal dynamics of these brain networks in ASD. The aim of this study was to examine the EEG microstate architecture in children with ASD as compared to TD at rest in two separate conditions – eyes-closed (EC) and eyes-open (EO). EEG microstate analysis was performed on resting-state data of 13 ASD and 13 TD children matched on age, gender, and IQ. We found that children with ASD and TD peers produced topographically similar canonical microstates at rest. Group differences in the duration and frequency of these microstates were found primarily in the EC resting-state condition. In line with previous fMRI findings that have reported differences in spatial connectivity within the salience network (previously correlated with the activity of microstate C) in ASD, we found that the duration of activation of microstate C was increased, and the frequency of microstate C was decreased in ASD as compared to TD in EC resting-state. Functionally, these results may be reflective of alterations in interoceptive processes in ASD. These results suggest a unique pattern of EEG microstate architecture in ASD relative to TD during resting-states and also that EEG microstate parameters in ASD are susceptible to differences in resting-state conditions.https://www.frontiersin.org/article/10.3389/fnhum.2020.00288/fullEEGmicrostatesresting-stateautism spectrum disorderssalience network
collection DOAJ
language English
format Article
sources DOAJ
author Sahana Nagabhushan Kalburgi
Allison P. Whitten
Alexandra P. Key
Alexandra P. Key
James W. Bodfish
James W. Bodfish
James W. Bodfish
James W. Bodfish
spellingShingle Sahana Nagabhushan Kalburgi
Allison P. Whitten
Alexandra P. Key
Alexandra P. Key
James W. Bodfish
James W. Bodfish
James W. Bodfish
James W. Bodfish
Children With Autism Produce a Unique Pattern of EEG Microstates During an Eyes Closed Resting-State Condition
Frontiers in Human Neuroscience
EEG
microstates
resting-state
autism spectrum disorders
salience network
author_facet Sahana Nagabhushan Kalburgi
Allison P. Whitten
Alexandra P. Key
Alexandra P. Key
James W. Bodfish
James W. Bodfish
James W. Bodfish
James W. Bodfish
author_sort Sahana Nagabhushan Kalburgi
title Children With Autism Produce a Unique Pattern of EEG Microstates During an Eyes Closed Resting-State Condition
title_short Children With Autism Produce a Unique Pattern of EEG Microstates During an Eyes Closed Resting-State Condition
title_full Children With Autism Produce a Unique Pattern of EEG Microstates During an Eyes Closed Resting-State Condition
title_fullStr Children With Autism Produce a Unique Pattern of EEG Microstates During an Eyes Closed Resting-State Condition
title_full_unstemmed Children With Autism Produce a Unique Pattern of EEG Microstates During an Eyes Closed Resting-State Condition
title_sort children with autism produce a unique pattern of eeg microstates during an eyes closed resting-state condition
publisher Frontiers Media S.A.
series Frontiers in Human Neuroscience
issn 1662-5161
publishDate 2020-10-01
description Although fMRI studies have produced considerable evidence for differences in the spatial connectivity of resting-state brain networks in persons with autism spectrum disorder (ASD) relative to typically developing (TD) peers, little is known about the temporal dynamics of these brain networks in ASD. The aim of this study was to examine the EEG microstate architecture in children with ASD as compared to TD at rest in two separate conditions – eyes-closed (EC) and eyes-open (EO). EEG microstate analysis was performed on resting-state data of 13 ASD and 13 TD children matched on age, gender, and IQ. We found that children with ASD and TD peers produced topographically similar canonical microstates at rest. Group differences in the duration and frequency of these microstates were found primarily in the EC resting-state condition. In line with previous fMRI findings that have reported differences in spatial connectivity within the salience network (previously correlated with the activity of microstate C) in ASD, we found that the duration of activation of microstate C was increased, and the frequency of microstate C was decreased in ASD as compared to TD in EC resting-state. Functionally, these results may be reflective of alterations in interoceptive processes in ASD. These results suggest a unique pattern of EEG microstate architecture in ASD relative to TD during resting-states and also that EEG microstate parameters in ASD are susceptible to differences in resting-state conditions.
topic EEG
microstates
resting-state
autism spectrum disorders
salience network
url https://www.frontiersin.org/article/10.3389/fnhum.2020.00288/full
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