95 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 Auteurs : Charlotte DISTEFANO, Auteur ; Abigail DICKINSON, Auteur ; Elizabeth BAKER, Auteur ; Shafali S. 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] / Charlotte DISTEFANO, Auteur ; Abigail DICKINSON, Auteur ; Elizabeth BAKER, Auteur ; Shafali S. 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 frontal alpha asymmetry mediates the association between maternal and child internalizing symptoms in childhood / Dashiell D. SACKS in Journal of Child Psychology and Psychiatry, 66-8 (August 2025)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 66-8 (August 2025) . - p.1129-1140 Titre : EEG frontal alpha asymmetry mediates the association between maternal and child internalizing symptoms in childhood Type de document : texte imprimé Auteurs : Dashiell D. SACKS, Auteur ; Yiyi WANG, Auteur ; Asja ABRON, Auteur ; Kaitlin M. MULLIGAN, Auteur ; Caroline M. KELSEY, Auteur ; Wanze XIE, Auteur ; Charles A. NELSON, Auteur ; Michelle BOSQUET ENLOW, Auteur Article en page(s) : p.1129-1140 Langues : Anglais (eng) Mots-clés : Maternal depression  maternal anxiety  frontal alpha asymmetry  internalizing symptoms  EEG Index. décimale : PER Périodiques Résumé : Background Anxiety and depression are highly prevalent in youth and can cause significant distress and functional impairment. The presence of maternal anxiety and depression are well-established risk factors for child internalizing psychopathology, yet the responsible mechanisms linking the two remain unclear. Methods We examined the potential mediating and moderating roles of EEG frontal alpha asymmetry (FAA) in the intergenerational transmission of internalizing symptoms in a longitudinal sample of N 323 mother?child dyads. Self-report maternal internalizing symptoms were evaluated at child age 3 years and 5 years, child EEG at 5 years, and parent-report child internalizing symptoms at age 7 years. Mediation was evaluated via bootstrapped (N 5,000) confidence intervals. Results We found significant associations among maternal internalizing (anxiety, depressive) symptoms when their children were ages 3 and 5 years, child FAA at age 5 years, and child internalizing symptoms at age 7 years. There was a significant mediation effect, whereby greater maternal anxiety and depressive symptoms at age 3 years were significantly associated with FAA (greater relative right cortical activation) in children at age 5 years, which, in turn, was significantly associated with greater child internalizing symptoms at age 7 years (ps < .001). There was no moderating effect of FAA on the association between maternal internalizing symptoms at age 5 years and child internalizing symptoms at age 7 years. Conclusions Greater right frontal asymmetry may be a neurophysiological mechanism that mediates the intergenerational transmission of internalizing symptoms. En ligne : https://doi.org/10.1111/jcpp.14129 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=565 [article] EEG frontal alpha asymmetry mediates the association between maternal and child internalizing symptoms in childhood [texte imprimé] / Dashiell D. SACKS, Auteur ; Yiyi WANG, Auteur ; Asja ABRON, Auteur ; Kaitlin M. MULLIGAN, Auteur ; Caroline M. KELSEY, Auteur ; Wanze XIE, Auteur ; Charles A. NELSON, Auteur ; Michelle BOSQUET ENLOW, Auteur . - p.1129-1140. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 66-8 (August 2025) . - p.1129-1140 Mots-clés : Maternal depression  maternal anxiety  frontal alpha asymmetry  internalizing symptoms  EEG Index. décimale : PER Périodiques Résumé : Background Anxiety and depression are highly prevalent in youth and can cause significant distress and functional impairment. The presence of maternal anxiety and depression are well-established risk factors for child internalizing psychopathology, yet the responsible mechanisms linking the two remain unclear. Methods We examined the potential mediating and moderating roles of EEG frontal alpha asymmetry (FAA) in the intergenerational transmission of internalizing symptoms in a longitudinal sample of N 323 mother?child dyads. Self-report maternal internalizing symptoms were evaluated at child age 3 years and 5 years, child EEG at 5 years, and parent-report child internalizing symptoms at age 7 years. Mediation was evaluated via bootstrapped (N 5,000) confidence intervals. Results We found significant associations among maternal internalizing (anxiety, depressive) symptoms when their children were ages 3 and 5 years, child FAA at age 5 years, and child internalizing symptoms at age 7 years. There was a significant mediation effect, whereby greater maternal anxiety and depressive symptoms at age 3 years were significantly associated with FAA (greater relative right cortical activation) in children at age 5 years, which, in turn, was significantly associated with greater child internalizing symptoms at age 7 years (ps < .001). There was no moderating effect of FAA on the association between maternal internalizing symptoms at age 5 years and child internalizing symptoms at age 7 years. Conclusions Greater right frontal asymmetry may be a neurophysiological mechanism that mediates the intergenerational transmission of internalizing symptoms. En ligne : https://doi.org/10.1111/jcpp.14129 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=565

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 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] / 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 characteristics and asymmetry in pre-school children with autism in awake and sleep stages / Sowmyashree Mayur KAKU ; Anoop JOSEPH ; Manjula William JAMES ; Gosala R. K. SARMA ; Ashok MYSORE ; Shyam Sundar RAJAGOPALAN in Research in Autism, 121-122 (March-April 2025)  

Public ISBD [article]  inResearch in Autism > 121-122 (March-April 2025) . - 202538 Titre : EEG spectral characteristics and asymmetry in pre-school children with autism in awake and sleep stages Type de document : texte imprimé Auteurs : Sowmyashree Mayur KAKU, Auteur ; Anoop JOSEPH, Auteur ; Manjula William JAMES, Auteur ; Gosala R. K. SARMA, Auteur ; Ashok MYSORE, Auteur ; Shyam Sundar RAJAGOPALAN, Auteur Article en page(s) : 202538 Langues : Anglais (eng) Mots-clés : Autism  Preschool  Electroencephalogram  EEG  NREM  Sleep stage  Asymmetry  Power spectral density  Band power Index. décimale : PER Périodiques Résumé : Background Autism spectrum disorder (ASD) is a complex-heterogeneous neurodevelopmental disorder manifesting as abnormalities in social communication and repetitive behaviors, generally observed from early childhood. These syndromic behaviors have neurophysiological basis which stems from altered activations of cortical structures in the pathways of functional neural networks and regulatory mechanisms. Frequency bands of Electroencephalography (EEG) have functional and topographical significance expressed through computed parameters like band power and asymmetry index. Previous studies have mapped these parameters to ASD symptoms, limited to select cortical locations, bands and restricted study conditions in either passive awake or selected sleep stage. Methods Spontaneous EEG recorded from two clinically diagnosed groups of preschoolers, ASD and non-ASD in awake and 3 stages of Non-Rapid Eye Movement (NREM) sleep (N1-N3) was decomposed into 8 frequency bands spanning 0.5-24 Hz. Band powers were computed for 60 channels and hemispheric asymmetry index (AI) for 12 regions covering the entire scalp. Results We found awake alpha with N1 slow and fast theta powers significantly lower for ASD. N1 fast beta power was higher in ASD. Sleep AI exhibited significant dominance with both groups displaying congruent orientation in N1 and contralateral in N2 and N3. ASD showed lower AI in N1 and N3 with higher AI in N2. Conclusion Cyclical states of awake and sleep often tend to project their mental processes from one onto another making a use case for our pervasive approach. This pilot study highlights the need to include EEG spectral parameters into the heterogeneous relationship of awake/sleep states mentation, neuropsychology and ASD symptoms. En ligne : https://doi.org/10.1016/j.reia.2025.202538 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555 [article] EEG spectral characteristics and asymmetry in pre-school children with autism in awake and sleep stages [texte imprimé] / Sowmyashree Mayur KAKU, Auteur ; Anoop JOSEPH, Auteur ; Manjula William JAMES, Auteur ; Gosala R. K. SARMA, Auteur ; Ashok MYSORE, Auteur ; Shyam Sundar RAJAGOPALAN, Auteur . - 202538. Langues : Anglais (eng) in Research in Autism > 121-122 (March-April 2025) . - 202538 Mots-clés : Autism  Preschool  Electroencephalogram  EEG  NREM  Sleep stage  Asymmetry  Power spectral density  Band power Index. décimale : PER Périodiques Résumé : Background Autism spectrum disorder (ASD) is a complex-heterogeneous neurodevelopmental disorder manifesting as abnormalities in social communication and repetitive behaviors, generally observed from early childhood. These syndromic behaviors have neurophysiological basis which stems from altered activations of cortical structures in the pathways of functional neural networks and regulatory mechanisms. Frequency bands of Electroencephalography (EEG) have functional and topographical significance expressed through computed parameters like band power and asymmetry index. Previous studies have mapped these parameters to ASD symptoms, limited to select cortical locations, bands and restricted study conditions in either passive awake or selected sleep stage. Methods Spontaneous EEG recorded from two clinically diagnosed groups of preschoolers, ASD and non-ASD in awake and 3 stages of Non-Rapid Eye Movement (NREM) sleep (N1-N3) was decomposed into 8 frequency bands spanning 0.5-24 Hz. Band powers were computed for 60 channels and hemispheric asymmetry index (AI) for 12 regions covering the entire scalp. Results We found awake alpha with N1 slow and fast theta powers significantly lower for ASD. N1 fast beta power was higher in ASD. Sleep AI exhibited significant dominance with both groups displaying congruent orientation in N1 and contralateral in N2 and N3. ASD showed lower AI in N1 and N3 with higher AI in N2. Conclusion Cyclical states of awake and sleep often tend to project their mental processes from one onto another making a use case for our pervasive approach. This pilot study highlights the need to include EEG spectral parameters into the heterogeneous relationship of awake/sleep states mentation, neuropsychology and ASD symptoms. En ligne : https://doi.org/10.1016/j.reia.2025.202538 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555

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 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] / 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

Correlations between EEG abnormalities and clinical phenotypes in a population of children with autism spectrum disorder / Mario BRINCIOTTI ; Federica GIOVANNONE ; Francesco PISANI ; Marco TOFANI ; Carla SOGOS in Research in Autism, 123 (May 2025)  

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

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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)  

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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)  

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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)  

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