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EEG data collection in children with ASD: The role of state in data quality and spectral power / Charlotte DISTEFANO in Research in Autism Spectrum Disorders, 57 (January 2019)
[article]
Titre : EEG data collection in children with ASD: The role of state in data quality and spectral power Type de document : Texte imprimé et/ou numérique Auteurs : Charlotte DISTEFANO, Auteur ; Abigail DICKINSON, Auteur ; Elizabeth BAKER, Auteur ; Shafali SPURLING JESTE, Auteur Article en page(s) : p.132-144 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder Intellectual disability EEG Spectral power Index. décimale : PER Périodiques Résumé : Background Electroencephalography can elucidate neurobiological mechanisms underlying heterogeneity in ASD. Studying the full range of children with ASD introduces methodological challenges stemming from participants’ difficulties tolerating the data collection process, leading to diminished EEG data retention and increased variability in participant ‘state’ during the recording. Quantifying state will improve data collection methods and aide in interpreting results. Objectives Observationally quantify participant state during the EEG recording; examine its relationship to child characteristics, data retention and spectral power. Methods Participants included 5–11 year-old children with ASD (N?=?39) and age-matched TD children (N?=?16). Participants were acclimated to the EEG environment using behavioral strategies. EEG was recorded while participants watched a video of bubbles. Participant ‘state’ was rated using a Likert scale (Perceived State Rating: PSR). Results Participants with ASD had more elevated PSR than TD participants. Less EEG data were retained in participants with higher PSR scores, but this was not related to age or IQ. TD participants had higher alpha power compared with the ASD group. Within the ASD group, participants with high PSR had decreased frontal alpha power. Conclusions Given supportive strategies, EEG data was collected from children with ASD across cognitive levels. Participant state influenced both EEG data retention and alpha spectral power. Alpha suppression is linked to attention and vigilance, suggesting that these participants were less ‘at rest’. This highlights the importance of considering state when conducting EEG studies with challenging participants, both to increase data retention rates and to quantify the influence of state on EEG variables. En ligne : https://doi.org/10.1016/j.rasd.2018.10.001 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=371
in Research in Autism Spectrum Disorders > 57 (January 2019) . - p.132-144[article] EEG data collection in children with ASD: The role of state in data quality and spectral power [Texte imprimé et/ou numérique] / Charlotte DISTEFANO, Auteur ; Abigail DICKINSON, Auteur ; Elizabeth BAKER, Auteur ; Shafali SPURLING JESTE, Auteur . - p.132-144.
Langues : Anglais (eng)
in Research in Autism Spectrum Disorders > 57 (January 2019) . - p.132-144
Mots-clés : Autism spectrum disorder Intellectual disability EEG Spectral power Index. décimale : PER Périodiques Résumé : Background Electroencephalography can elucidate neurobiological mechanisms underlying heterogeneity in ASD. Studying the full range of children with ASD introduces methodological challenges stemming from participants’ difficulties tolerating the data collection process, leading to diminished EEG data retention and increased variability in participant ‘state’ during the recording. Quantifying state will improve data collection methods and aide in interpreting results. Objectives Observationally quantify participant state during the EEG recording; examine its relationship to child characteristics, data retention and spectral power. Methods Participants included 5–11 year-old children with ASD (N?=?39) and age-matched TD children (N?=?16). Participants were acclimated to the EEG environment using behavioral strategies. EEG was recorded while participants watched a video of bubbles. Participant ‘state’ was rated using a Likert scale (Perceived State Rating: PSR). Results Participants with ASD had more elevated PSR than TD participants. Less EEG data were retained in participants with higher PSR scores, but this was not related to age or IQ. TD participants had higher alpha power compared with the ASD group. Within the ASD group, participants with high PSR had decreased frontal alpha power. Conclusions Given supportive strategies, EEG data was collected from children with ASD across cognitive levels. Participant state influenced both EEG data retention and alpha spectral power. Alpha suppression is linked to attention and vigilance, suggesting that these participants were less ‘at rest’. This highlights the importance of considering state when conducting EEG studies with challenging participants, both to increase data retention rates and to quantify the influence of state on EEG variables. En ligne : https://doi.org/10.1016/j.rasd.2018.10.001 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=371 Electroencephalographic spectral power as a marker of cortical function and disease severity in girls with Rett syndrome / K. J. ROCHE in Journal of Neurodevelopmental Disorders, 11-1 (December 2019)
[article]
Titre : Electroencephalographic spectral power as a marker of cortical function and disease severity in girls with Rett syndrome Type de document : Texte imprimé et/ou numérique Auteurs : K. J. ROCHE, Auteur ; J. J. LEBLANC, Auteur ; A. R. LEVIN, Auteur ; H. M. O'LEARY, Auteur ; L. M. BACZEWSKI, Auteur ; C. A. NELSON, Auteur Article en page(s) : 15 p. Langues : Anglais (eng) Mots-clés : Biomarker Eeg Electroencephalography Electrophysiology Rett syndrome Spectral power Index. décimale : PER Périodiques Résumé : BACKGROUND: Rett syndrome is a neurodevelopmental disorder caused by a mutation in the X-linked MECP2 gene. Individuals with Rett syndrome typically develop normally until around 18 months of age before undergoing a developmental regression, and the disorder can lead to cognitive, motor, sensory, and autonomic dysfunction. Understanding the mechanism of developmental regression represents a unique challenge when viewed through a neuroscience lens. Are circuits that were previously established erased, and are new ones built to supplant old ones? One way to examine circuit-level changes is with the use of electroencephalography (EEG). Previous studies of the EEG in individuals with Rett syndrome have focused on morphological characteristics, but few have explored spectral power, including power as an index of brain function or disease severity. This study sought to determine if EEG power differs in girls with Rett syndrome and typically developing girls and among girls with Rett syndrome based on various clinical characteristics in order to better understand neural connectivity and cortical organization in individuals with this disorder. METHODS: Resting state EEG data were acquired from girls with Rett syndrome (n = 57) and typically developing children without Rett syndrome (n = 37). Clinical data were also collected for girls with Rett syndrome. EEG power across several brain regions in numerous frequency bands was then compared between girls with Rett syndrome and typically developing children and power in girls with Rett syndrome was compared based on these clinical measures. 1/f slope was also compared between groups. RESULTS: Girls with Rett syndrome demonstrate significantly lower power in the middle frequency bands across multiple brain regions. Additionally, girls with Rett syndrome that are postregression demonstrate significantly higher power in the lower frequency delta and theta bands and a significantly more negative slope of the power spectrum. Increased power in these bands, as well as a more negative 1/f slope, trended with lower cognitive assessment scores. CONCLUSIONS: Increased power in lower frequency bands is consistent with previous studies demonstrating a "slowing" of the background EEG in Rett syndrome. This increase, particularly in the delta band, could represent abnormal cortical inhibition due to dysfunctional GABAergic signaling and could potentially be used as a marker of severity due to associations with more severe Rett syndrome phenotypes. En ligne : https://dx.doi.org/10.1186/s11689-019-9275-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=409
in Journal of Neurodevelopmental Disorders > 11-1 (December 2019) . - 15 p.[article] Electroencephalographic spectral power as a marker of cortical function and disease severity in girls with Rett syndrome [Texte imprimé et/ou numérique] / K. J. ROCHE, Auteur ; J. J. LEBLANC, Auteur ; A. R. LEVIN, Auteur ; H. M. O'LEARY, Auteur ; L. M. BACZEWSKI, Auteur ; C. A. NELSON, Auteur . - 15 p.
Langues : Anglais (eng)
in Journal of Neurodevelopmental Disorders > 11-1 (December 2019) . - 15 p.
Mots-clés : Biomarker Eeg Electroencephalography Electrophysiology Rett syndrome Spectral power Index. décimale : PER Périodiques Résumé : BACKGROUND: Rett syndrome is a neurodevelopmental disorder caused by a mutation in the X-linked MECP2 gene. Individuals with Rett syndrome typically develop normally until around 18 months of age before undergoing a developmental regression, and the disorder can lead to cognitive, motor, sensory, and autonomic dysfunction. Understanding the mechanism of developmental regression represents a unique challenge when viewed through a neuroscience lens. Are circuits that were previously established erased, and are new ones built to supplant old ones? One way to examine circuit-level changes is with the use of electroencephalography (EEG). Previous studies of the EEG in individuals with Rett syndrome have focused on morphological characteristics, but few have explored spectral power, including power as an index of brain function or disease severity. This study sought to determine if EEG power differs in girls with Rett syndrome and typically developing girls and among girls with Rett syndrome based on various clinical characteristics in order to better understand neural connectivity and cortical organization in individuals with this disorder. METHODS: Resting state EEG data were acquired from girls with Rett syndrome (n = 57) and typically developing children without Rett syndrome (n = 37). Clinical data were also collected for girls with Rett syndrome. EEG power across several brain regions in numerous frequency bands was then compared between girls with Rett syndrome and typically developing children and power in girls with Rett syndrome was compared based on these clinical measures. 1/f slope was also compared between groups. RESULTS: Girls with Rett syndrome demonstrate significantly lower power in the middle frequency bands across multiple brain regions. Additionally, girls with Rett syndrome that are postregression demonstrate significantly higher power in the lower frequency delta and theta bands and a significantly more negative slope of the power spectrum. Increased power in these bands, as well as a more negative 1/f slope, trended with lower cognitive assessment scores. CONCLUSIONS: Increased power in lower frequency bands is consistent with previous studies demonstrating a "slowing" of the background EEG in Rett syndrome. This increase, particularly in the delta band, could represent abnormal cortical inhibition due to dysfunctional GABAergic signaling and could potentially be used as a marker of severity due to associations with more severe Rett syndrome phenotypes. En ligne : https://dx.doi.org/10.1186/s11689-019-9275-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=409 Resting-State Neurophysiological Activity Patterns in Young People with ASD, ADHD, and ASD + ADHD / E. SHEPHARD in Journal of Autism and Developmental Disorders, 48-1 (January 2018)
[article]
Titre : Resting-State Neurophysiological Activity Patterns in Young People with ASD, ADHD, and ASD + ADHD Type de document : Texte imprimé et/ou numérique Auteurs : E. SHEPHARD, Auteur ; C. TYE, Auteur ; Karen L. ASHWOOD, Auteur ; Bahare AZADI, Auteur ; Philip ASHERSON, Auteur ; Patrick BOLTON, Auteur ; G. MCLOUGHLIN, Auteur Article en page(s) : p.110-122 Langues : Anglais (eng) Mots-clés : Adhd Asd Co-occurring ASD + ADHD Eeg Resting-state Spectral power Index. décimale : PER Périodiques Résumé : Altered power of resting-state neurophysiological activity has been associated with autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD), which commonly co-occur. We compared resting-state neurophysiological power in children with ASD, ADHD, co-occurring ASD + ADHD, and typically developing controls. Children with ASD (ASD/ASD + ADHD) showed reduced theta and alpha power compared to children without ASD (controls/ADHD). Children with ADHD (ADHD/ASD + ADHD) displayed decreased delta power compared to children without ADHD (ASD/controls). Children with ASD + ADHD largely presented as an additive co-occurrence with deficits of both disorders, although reduced theta compared to ADHD-only and reduced delta compared to controls suggested some unique markers. Identifying specific neurophysiological profiles in ASD and ADHD may assist in characterising more homogeneous subgroups to inform treatment approaches and aetiological investigations. En ligne : https://doi.org/10.1007/s10803-017-3300-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=336
in Journal of Autism and Developmental Disorders > 48-1 (January 2018) . - p.110-122[article] Resting-State Neurophysiological Activity Patterns in Young People with ASD, ADHD, and ASD + ADHD [Texte imprimé et/ou numérique] / E. SHEPHARD, Auteur ; C. TYE, Auteur ; Karen L. ASHWOOD, Auteur ; Bahare AZADI, Auteur ; Philip ASHERSON, Auteur ; Patrick BOLTON, Auteur ; G. MCLOUGHLIN, Auteur . - p.110-122.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 48-1 (January 2018) . - p.110-122
Mots-clés : Adhd Asd Co-occurring ASD + ADHD Eeg Resting-state Spectral power Index. décimale : PER Périodiques Résumé : Altered power of resting-state neurophysiological activity has been associated with autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD), which commonly co-occur. We compared resting-state neurophysiological power in children with ASD, ADHD, co-occurring ASD + ADHD, and typically developing controls. Children with ASD (ASD/ASD + ADHD) showed reduced theta and alpha power compared to children without ASD (controls/ADHD). Children with ADHD (ADHD/ASD + ADHD) displayed decreased delta power compared to children without ADHD (ASD/controls). Children with ASD + ADHD largely presented as an additive co-occurrence with deficits of both disorders, although reduced theta compared to ADHD-only and reduced delta compared to controls suggested some unique markers. Identifying specific neurophysiological profiles in ASD and ADHD may assist in characterising more homogeneous subgroups to inform treatment approaches and aetiological investigations. En ligne : https://doi.org/10.1007/s10803-017-3300-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=336