83 recherche sur le mot-clé 'Eeg'

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)  

Public ISBD [article]  inResearch in Autism Spectrum Disorders > 57 (January 2019) . - p.132-144 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 [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

EEG hyper-connectivity in high-risk infants is associated with later autism / Elena V. OREKHOVA in Journal of Neurodevelopmental Disorders, 6-1 (December 2014)  

Public ISBD [article]  inJournal of Neurodevelopmental Disorders > 6-1 (December 2014) . - p.40 Titre : EEG hyper-connectivity in high-risk infants is associated with later autism Type de document : Texte imprimé et/ou numérique Auteurs : Elena V. OREKHOVA, Auteur ; M. ELSABBAGH, Auteur ; E. J. JONES, Auteur ; G. DAWSON, Auteur ; Tony CHARMAN, Auteur ; M. H. JOHNSON, Auteur Article en page(s) : p.40 Langues : Anglais (eng) Mots-clés : Alpha  Autism spectrum disorders  Connectivity  Eeg  Infants  Siblings Index. décimale : PER Périodiques Résumé : BACKGROUND: It has been previously reported that structural and functional brain connectivity in individuals with autism spectrum disorders (ASD) is atypical and may vary with age. However, to date, no measures of functional connectivity measured within the first 2 years have specifically associated with a later ASD diagnosis. METHODS: In the present study, we analyzed functional brain connectivity in 14-month-old infants at high and low familial risk for ASD using electroencephalography (EEG). EEG was recorded while infants attended to videos. Connectivity was assessed using debiased weighted phase lag index (dbWPLI). At 36 months, the high-risk infants were assessed for symptoms of ASD. RESULTS: As a group, high-risk infants who were later diagnosed with ASD demonstrated elevated phase-lagged alpha-range connectivity as compared to both low-risk infants and high-risk infants who did not go on to ASD. Hyper-connectivity was most prominent over frontal and central areas. The degree of hyper-connectivity at 14 months strongly correlated with the severity of restricted and repetitive behaviors in participants with ASD at 3 years. These effects were not attributable to differences in behavior during the EEG session or to differences in spectral power. CONCLUSIONS: The results suggest that early hyper-connectivity in the alpha frequency range is an important feature of the ASD neurophysiological phenotype. En ligne : http://dx.doi.org/10.1186/1866-1955-6-40 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=347 [article] EEG hyper-connectivity in high-risk infants is associated with later autism [Texte imprimé et/ou numérique] / Elena V. OREKHOVA, Auteur ; M. ELSABBAGH, Auteur ; E. J. JONES, Auteur ; G. DAWSON, Auteur ; Tony CHARMAN, Auteur ; M. H. JOHNSON, Auteur . - p.40. Langues : Anglais (eng) in Journal of Neurodevelopmental Disorders > 6-1 (December 2014) . - p.40 Mots-clés : Alpha  Autism spectrum disorders  Connectivity  Eeg  Infants  Siblings Index. décimale : PER Périodiques Résumé : BACKGROUND: It has been previously reported that structural and functional brain connectivity in individuals with autism spectrum disorders (ASD) is atypical and may vary with age. However, to date, no measures of functional connectivity measured within the first 2 years have specifically associated with a later ASD diagnosis. METHODS: In the present study, we analyzed functional brain connectivity in 14-month-old infants at high and low familial risk for ASD using electroencephalography (EEG). EEG was recorded while infants attended to videos. Connectivity was assessed using debiased weighted phase lag index (dbWPLI). At 36 months, the high-risk infants were assessed for symptoms of ASD. RESULTS: As a group, high-risk infants who were later diagnosed with ASD demonstrated elevated phase-lagged alpha-range connectivity as compared to both low-risk infants and high-risk infants who did not go on to ASD. Hyper-connectivity was most prominent over frontal and central areas. The degree of hyper-connectivity at 14 months strongly correlated with the severity of restricted and repetitive behaviors in participants with ASD at 3 years. These effects were not attributable to differences in behavior during the EEG session or to differences in spectral power. CONCLUSIONS: The results suggest that early hyper-connectivity in the alpha frequency range is an important feature of the ASD neurophysiological phenotype. En ligne : http://dx.doi.org/10.1186/1866-1955-6-40 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=347

EEG Spectral Features in Sleep of Autism Spectrum Disorders in Children with Tuberous Sclerosis Complex / Ian COOK in Journal of Autism and Developmental Disorders, 50-3 (March 2020)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 50-3 (March 2020) . - p.916-923 Titre : EEG Spectral Features in Sleep of Autism Spectrum Disorders in Children with Tuberous Sclerosis Complex Type de document : Texte imprimé et/ou numérique Auteurs : Ian COOK, Auteur ; Andrew C. WILSON, Auteur ; Jurriaan M. PETERS, Auteur ; Monisha N. GOYAL, Auteur ; E. Martina BEBIN, Auteur ; Hope NORTHRUP, Auteur ; Darcy KRUEGER, Auteur ; Andrew F. LEUCHTER, Auteur ; Mustafa SAHIN, Auteur Article en page(s) : p.916-923 Langues : Anglais (eng) Mots-clés : Autism  Biomarkers  Eeg  Tsc Index. décimale : PER Périodiques Résumé : Tuberous sclerosis complex (TSC) is a multisystem disorder with increased prevalence of autism spectrum disorders (ASDs). This project aimed to characterize the autism phenotype of TSC and identify biomarkers of risk for ASD. Because abnormalities of EEG during sleep are tied to neurodevelopment in children, we compared electroencephalographic (EEG) measures during Stage II sleep in TSC children who either did (ASD+) or did not (ASD-) exhibit symptoms of ASD over 36-month follow up. Relative alpha band power was significantly elevated in the ASD+ group at 24 months of age with smaller differences at younger ages, suggesting this may arise from differences in brain development. These findings suggest that EEG features could enhance the detection of risk for ASD. En ligne : http://dx.doi.org/10.1007/s10803-019-04326-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=419 [article] EEG Spectral Features in Sleep of Autism Spectrum Disorders in Children with Tuberous Sclerosis Complex [Texte imprimé et/ou numérique] / Ian COOK, Auteur ; Andrew C. WILSON, Auteur ; Jurriaan M. PETERS, Auteur ; Monisha N. GOYAL, Auteur ; E. Martina BEBIN, Auteur ; Hope NORTHRUP, Auteur ; Darcy KRUEGER, Auteur ; Andrew F. LEUCHTER, Auteur ; Mustafa SAHIN, Auteur . - p.916-923. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 50-3 (March 2020) . - p.916-923 Mots-clés : Autism  Biomarkers  Eeg  Tsc Index. décimale : PER Périodiques Résumé : Tuberous sclerosis complex (TSC) is a multisystem disorder with increased prevalence of autism spectrum disorders (ASDs). This project aimed to characterize the autism phenotype of TSC and identify biomarkers of risk for ASD. Because abnormalities of EEG during sleep are tied to neurodevelopment in children, we compared electroencephalographic (EEG) measures during Stage II sleep in TSC children who either did (ASD+) or did not (ASD-) exhibit symptoms of ASD over 36-month follow up. Relative alpha band power was significantly elevated in the ASD+ group at 24 months of age with smaller differences at younger ages, suggesting this may arise from differences in brain development. These findings suggest that EEG features could enhance the detection of risk for ASD. En ligne : http://dx.doi.org/10.1007/s10803-019-04326-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=419

Abnormal coherence and sleep composition in children with Angelman syndrome: a retrospective EEG study / H. DEN BAKKER in Molecular Autism, 9 (2018)  

Public ISBD [article]  inMolecular Autism > 9 (2018) . - 32p. Titre : Abnormal coherence and sleep composition in children with Angelman syndrome: a retrospective EEG study Type de document : Texte imprimé et/ou numérique Auteurs : H. DEN BAKKER, Auteur ; M. S. SIDOROV, Auteur ; Z. FAN, Auteur ; D. J. LEE, Auteur ; L. M. BIRD, Auteur ; C. J. CHU, Auteur ; B. D. PHILPOT, Auteur Article en page(s) : 32p. Langues : Anglais (eng) Mots-clés : Angelman Syndrome/physiopathology  Case-Control Studies  Child  Delta Rhythm  Female  Gamma Rhythm  Humans  Male  Sleep Stages  Angelman syndrome  Biomarker  Coherence  eeg  Spindles  UBE3A Index. décimale : PER Périodiques Résumé : Background: Angelman syndrome (AS) is a neurodevelopmental disorder characterized by intellectual disability, speech and motor impairments, epilepsy, abnormal sleep, and phenotypic overlap with autism. Individuals with AS display characteristic EEG patterns including high-amplitude rhythmic delta waves. Here, we sought to quantitatively explore EEG architecture in AS beyond known spectral power phenotypes. We were motivated by studies of functional connectivity and sleep spindles in autism to study these EEG readouts in children with AS. Methods: We analyzed retrospective wake and sleep EEGs from children with AS (age 4-11) and age-matched neurotypical controls. We assessed long-range and short-range functional connectivity by measuring coherence across multiple frequencies during wake and sleep. We quantified sleep spindles using automated and manual approaches. Results: During wakefulness, children with AS showed enhanced long-range EEG coherence across a wide range of frequencies. During sleep, children with AS showed increased long-range EEG coherence specifically in the gamma band. EEGs from children with AS contained fewer sleep spindles, and these spindles were shorter in duration than their neurotypical counterparts. Conclusions: We demonstrate two quantitative readouts of dysregulated sleep composition in children with AS-gamma coherence and spindles-and describe how functional connectivity patterns may be disrupted during wakefulness. Quantitative EEG phenotypes have potential as biomarkers and readouts of target engagement for future clinical trials and provide clues into how neural circuits are dysregulated in children with AS. En ligne : https://dx.doi.org/10.1186/s13229-018-0214-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=371 [article] Abnormal coherence and sleep composition in children with Angelman syndrome: a retrospective EEG study [Texte imprimé et/ou numérique] / H. DEN BAKKER, Auteur ; M. S. SIDOROV, Auteur ; Z. FAN, Auteur ; D. J. LEE, Auteur ; L. M. BIRD, Auteur ; C. J. CHU, Auteur ; B. D. PHILPOT, Auteur . - 32p. Langues : Anglais (eng) in Molecular Autism > 9 (2018) . - 32p. Mots-clés : Angelman Syndrome/physiopathology  Case-Control Studies  Child  Delta Rhythm  Female  Gamma Rhythm  Humans  Male  Sleep Stages  Angelman syndrome  Biomarker  Coherence  eeg  Spindles  UBE3A Index. décimale : PER Périodiques Résumé : Background: Angelman syndrome (AS) is a neurodevelopmental disorder characterized by intellectual disability, speech and motor impairments, epilepsy, abnormal sleep, and phenotypic overlap with autism. Individuals with AS display characteristic EEG patterns including high-amplitude rhythmic delta waves. Here, we sought to quantitatively explore EEG architecture in AS beyond known spectral power phenotypes. We were motivated by studies of functional connectivity and sleep spindles in autism to study these EEG readouts in children with AS. Methods: We analyzed retrospective wake and sleep EEGs from children with AS (age 4-11) and age-matched neurotypical controls. We assessed long-range and short-range functional connectivity by measuring coherence across multiple frequencies during wake and sleep. We quantified sleep spindles using automated and manual approaches. Results: During wakefulness, children with AS showed enhanced long-range EEG coherence across a wide range of frequencies. During sleep, children with AS showed increased long-range EEG coherence specifically in the gamma band. EEGs from children with AS contained fewer sleep spindles, and these spindles were shorter in duration than their neurotypical counterparts. Conclusions: We demonstrate two quantitative readouts of dysregulated sleep composition in children with AS-gamma coherence and spindles-and describe how functional connectivity patterns may be disrupted during wakefulness. Quantitative EEG phenotypes have potential as biomarkers and readouts of target engagement for future clinical trials and provide clues into how neural circuits are dysregulated in children with AS. En ligne : https://dx.doi.org/10.1186/s13229-018-0214-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=371

Atypical Pattern of Frontal EEG Asymmetry for Direct Gaze in Young Children with Autism Spectrum Disorder / J. LAUTTIA in Journal of Autism and Developmental Disorders, 49-9 (September 2019)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 49-9 (September 2019) . - p.3592-3601 Titre : Atypical Pattern of Frontal EEG Asymmetry for Direct Gaze in Young Children with Autism Spectrum Disorder Type de document : Texte imprimé et/ou numérique Auteurs : J. LAUTTIA, Auteur ; T. M. HELMINEN, Auteur ; J. M. LEPPANEN, Auteur ; S. YRTTIAHO, Auteur ; K. ERIKSSON, Auteur ; J. K. HIETANEN, Auteur ; A. KYLLIAINEN, Auteur Article en page(s) : p.3592-3601 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  Eeg  Eye contact  Frontal asymmetry  Intellectual disability Index. décimale : PER Périodiques Résumé : This study examined approach-motivation related brain activity (frontal electroencephalogram [EEG] asymmetry) in response to direct and averted gaze in 3- to 6-year-old typically developing (TD) children, children with autism spectrum disorder (ASD), and those with intellectual disability (ID). We found that, in TD children, direct gaze elicited greater approach-related frontal EEG activity than did downcast gaze. This pattern of activity was in contrast to that observed in children with ASD, who showed greater approach-related activity in response to downcast gaze than to direct gaze. ID children did not differ in their responses to different gaze conditions. These findings indicate that another person's direct gaze does not elicit approach-motivation related brain activity in young children with ASD. En ligne : http://dx.doi.org/10.1007/s10803-019-04062-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=405 [article] Atypical Pattern of Frontal EEG Asymmetry for Direct Gaze in Young Children with Autism Spectrum Disorder [Texte imprimé et/ou numérique] / J. LAUTTIA, Auteur ; T. M. HELMINEN, Auteur ; J. M. LEPPANEN, Auteur ; S. YRTTIAHO, Auteur ; K. ERIKSSON, Auteur ; J. K. HIETANEN, Auteur ; A. KYLLIAINEN, Auteur . - p.3592-3601. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 49-9 (September 2019) . - p.3592-3601 Mots-clés : Autism spectrum disorder  Eeg  Eye contact  Frontal asymmetry  Intellectual disability Index. décimale : PER Périodiques Résumé : This study examined approach-motivation related brain activity (frontal electroencephalogram [EEG] asymmetry) in response to direct and averted gaze in 3- to 6-year-old typically developing (TD) children, children with autism spectrum disorder (ASD), and those with intellectual disability (ID). We found that, in TD children, direct gaze elicited greater approach-related frontal EEG activity than did downcast gaze. This pattern of activity was in contrast to that observed in children with ASD, who showed greater approach-related activity in response to downcast gaze than to direct gaze. ID children did not differ in their responses to different gaze conditions. These findings indicate that another person's direct gaze does not elicit approach-motivation related brain activity in young children with ASD. En ligne : http://dx.doi.org/10.1007/s10803-019-04062-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=405

Auditory repetition suppression alterations in relation to cognitive functioning in fragile X syndrome: a combined EEG and machine learning approach / I. S. KNOTH in Journal of Neurodevelopmental Disorders, 10-1 (December 2018)  

Permalink

Delta rhythmicity is a reliable EEG biomarker in Angelman syndrome: a parallel mouse and human analysis / M. S. SIDOROV in Journal of Neurodevelopmental Disorders, 9-1 (December 2017)  

Permalink

Epilepsy and EEG Findings in Children with Autism Spectrum Disorders / Nashwa M. SAMRA in Autism - Open Access, 7-3 ([01/06/2017])  

Permalink

Evidence of a faster posterior dominant EEG rhythm in children with autism / Michael D. GREGORY in Research in Autism Spectrum Disorders, 6-3 (July-September 2012)  

Permalink

Fast Periodic Visual Stimulation EEG Reveals Reduced Neural Sensitivity to Fearful Faces in Children with Autism / S. VAN DER DONCK in Journal of Autism and Developmental Disorders, 49-11 (November 2019)  

Permalink