67 recherche sur le mot-clé 'electroencephalography'

Association between spectral electroencephalography power and autism risk and diagnosis in early development / Scott HUBERTY in Autism Research, 14-7 (July 2021)  

Public ISBD [article]  inAutism Research > 14-7 (July 2021) . - p.1390-1403 Titre : Association between spectral electroencephalography power and autism risk and diagnosis in early development Type de document : texte imprimé Auteurs : Scott HUBERTY, Auteur ; Virginia CARTER LENO, Auteur ; Stefon J.R. VAN NOORDT, Auteur ; Rachael BEDFORD, Auteur ; Andrew PICKLES, Auteur ; James A. DESJARDINS, Auteur ; Sara J. WEBB, Auteur ; Mayada ELSABBAGH, Auteur Article en page(s) : p.1390-1403 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis  Autistic Disorder  Brain  Child, Preschool  Electroencephalography  Humans  Infant  Siblings  Eeg  autism spectrum disorders  infants  siblings Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) has its origins in the atypical development of brain networks. Infants who are at high familial risk for, and later diagnosed with ASD, show atypical activity in multiple electroencephalography (EEG) oscillatory measures. However, infant-sibling studies are often constrained by small sample sizes. We used the International Infant EEG Data Integration Platform, a multi-site dataset with 432 participants, including 222 at high-risk for ASD, from whom repeated measurements of EEG were collected between the ages of 3-36 months. We applied a latent growth curve model to test whether familial risk status predicts developmental trajectories of spectral power across the first 3 years of life, and whether these trajectories predict ASD outcome. Change in spectral EEG power in all frequency bands occurred during the first 3 years of life. Familial risk, but not a later diagnosis of ASD, was associated with reduced power at 3 months, and a steeper developmental change between 3 and 36 months in nearly all absolute power bands. ASD outcome was not associated with absolute power intercept or slope. No associations were found between risk or outcome and relative power. This study applied an analytic approach not used in previous prospective biomarker studies of ASD, which was modeled to reflect the temporal relationship between genetic susceptibility, brain development, and ASD diagnosis. Trajectories of spectral power appear to be predicted by familial risk; however, spectral power does not predict diagnostic outcome above and beyond familial risk status. Discrepancies between current results and previous studies are discussed. LAY SUMMARY: Infants with an older sibling who is diagnosed with ASD are at increased risk of developing ASD themselves. This article tested whether EEG spectral power in the first year of life can predict whether these infants did or did not develop ASD. En ligne : http://dx.doi.org/10.1002/aur.2518 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=449 [article] Association between spectral electroencephalography power and autism risk and diagnosis in early development [texte imprimé] / Scott HUBERTY, Auteur ; Virginia CARTER LENO, Auteur ; Stefon J.R. VAN NOORDT, Auteur ; Rachael BEDFORD, Auteur ; Andrew PICKLES, Auteur ; James A. DESJARDINS, Auteur ; Sara J. WEBB, Auteur ; Mayada ELSABBAGH, Auteur . - p.1390-1403. Langues : Anglais (eng) in Autism Research > 14-7 (July 2021) . - p.1390-1403 Mots-clés : Autism Spectrum Disorder/diagnosis  Autistic Disorder  Brain  Child, Preschool  Electroencephalography  Humans  Infant  Siblings  Eeg  autism spectrum disorders  infants  siblings Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) has its origins in the atypical development of brain networks. Infants who are at high familial risk for, and later diagnosed with ASD, show atypical activity in multiple electroencephalography (EEG) oscillatory measures. However, infant-sibling studies are often constrained by small sample sizes. We used the International Infant EEG Data Integration Platform, a multi-site dataset with 432 participants, including 222 at high-risk for ASD, from whom repeated measurements of EEG were collected between the ages of 3-36 months. We applied a latent growth curve model to test whether familial risk status predicts developmental trajectories of spectral power across the first 3 years of life, and whether these trajectories predict ASD outcome. Change in spectral EEG power in all frequency bands occurred during the first 3 years of life. Familial risk, but not a later diagnosis of ASD, was associated with reduced power at 3 months, and a steeper developmental change between 3 and 36 months in nearly all absolute power bands. ASD outcome was not associated with absolute power intercept or slope. No associations were found between risk or outcome and relative power. This study applied an analytic approach not used in previous prospective biomarker studies of ASD, which was modeled to reflect the temporal relationship between genetic susceptibility, brain development, and ASD diagnosis. Trajectories of spectral power appear to be predicted by familial risk; however, spectral power does not predict diagnostic outcome above and beyond familial risk status. Discrepancies between current results and previous studies are discussed. LAY SUMMARY: Infants with an older sibling who is diagnosed with ASD are at increased risk of developing ASD themselves. This article tested whether EEG spectral power in the first year of life can predict whether these infants did or did not develop ASD. En ligne : http://dx.doi.org/10.1002/aur.2518 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=449

Evaluation of electroencephalography biomarkers for Angelman syndrome during overnight sleep / Yuval LEVIN in Autism Research, 15-6 (June 2022)  

Public ISBD [article]  inAutism Research > 15-6 (June 2022) . - p.1031-1042 Titre : Evaluation of electroencephalography biomarkers for Angelman syndrome during overnight sleep Type de document : texte imprimé Auteurs : Yuval LEVIN, Auteur ; Nishitha S. HOSAMANE, Auteur ; Taylor E. MCNAIR, Auteur ; Shrujana S. KUNNAM, Auteur ; Benjamin D. PHILPOT, Auteur ; Zheng FAN, Auteur ; Michael S. SIDOROV, Auteur Article en page(s) : p.1031-1042 Langues : Anglais (eng) Mots-clés : Angelman Syndrome/complications/diagnosis/genetics  Autism Spectrum Disorder  Biomarkers  Electroencephalography  Humans  Retrospective Studies  Sleep/physiology  Angelman syndrome  Eeg  biomarker  delta  sleep  spindle  Medpace, Inc. for EEG analysis. Index. décimale : PER Périodiques Résumé : Angelman syndrome (AS) is a neurodevelopmental disorder caused by loss-of-function mutations in the maternal copy of the UBE3A gene. AS is characterized by intellectual disability, impaired speech and motor skills, epilepsy, and sleep disruptions. Multiple treatment strategies to re-express functional neuronal UBE3A from the dormant paternal allele were successful in rodent models of AS and have now moved to early phase clinical trials in children. Developing reliable and objective AS biomarkers is essential to guide the design and execution of current and future clinical trials. Our prior work quantified short daytime electroencephalograms (EEGs) to define promising biomarkers for AS. Here, we asked whether overnight sleep is better suited to detect AS EEG biomarkers. We retrospectively analyzed EEGs from 12 overnight sleep studies from individuals with AS with age and sex-matched Down syndrome and neurotypical controls, focusing on low frequency (2-4 Hz) delta rhythms and sleep spindles. Delta EEG rhythms were increased in individuals with AS during all stages of overnight sleep, but overnight sleep did not provide additional benefit over wake in the ability to detect increased delta. Abnormal sleep spindles were not reliably detected in EEGs from individuals with AS during overnight sleep, suggesting that delta rhythms represent a more reliable biomarker. Overall, we conclude that periods of wakefulness are sufficient, and perhaps ideal, to quantify delta EEG rhythms for use as AS biomarkers. LAY SUMMARY: Electroencephalography (EEG) is a safe and reliable way of measuring abnormal brain activity in Angelman syndrome. We found that low-frequency "delta" EEG rhythms are increased in individuals with Angelman syndrome during all stages of overnight sleep. Delta rhythms can be used as a tool to measure improvement in future clinical trials. En ligne : http://dx.doi.org/10.1002/aur.2709 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=476 [article] Evaluation of electroencephalography biomarkers for Angelman syndrome during overnight sleep [texte imprimé] / Yuval LEVIN, Auteur ; Nishitha S. HOSAMANE, Auteur ; Taylor E. MCNAIR, Auteur ; Shrujana S. KUNNAM, Auteur ; Benjamin D. PHILPOT, Auteur ; Zheng FAN, Auteur ; Michael S. SIDOROV, Auteur . - p.1031-1042. Langues : Anglais (eng) in Autism Research > 15-6 (June 2022) . - p.1031-1042 Mots-clés : Angelman Syndrome/complications/diagnosis/genetics  Autism Spectrum Disorder  Biomarkers  Electroencephalography  Humans  Retrospective Studies  Sleep/physiology  Angelman syndrome  Eeg  biomarker  delta  sleep  spindle  Medpace, Inc. for EEG analysis. Index. décimale : PER Périodiques Résumé : Angelman syndrome (AS) is a neurodevelopmental disorder caused by loss-of-function mutations in the maternal copy of the UBE3A gene. AS is characterized by intellectual disability, impaired speech and motor skills, epilepsy, and sleep disruptions. Multiple treatment strategies to re-express functional neuronal UBE3A from the dormant paternal allele were successful in rodent models of AS and have now moved to early phase clinical trials in children. Developing reliable and objective AS biomarkers is essential to guide the design and execution of current and future clinical trials. Our prior work quantified short daytime electroencephalograms (EEGs) to define promising biomarkers for AS. Here, we asked whether overnight sleep is better suited to detect AS EEG biomarkers. We retrospectively analyzed EEGs from 12 overnight sleep studies from individuals with AS with age and sex-matched Down syndrome and neurotypical controls, focusing on low frequency (2-4 Hz) delta rhythms and sleep spindles. Delta EEG rhythms were increased in individuals with AS during all stages of overnight sleep, but overnight sleep did not provide additional benefit over wake in the ability to detect increased delta. Abnormal sleep spindles were not reliably detected in EEGs from individuals with AS during overnight sleep, suggesting that delta rhythms represent a more reliable biomarker. Overall, we conclude that periods of wakefulness are sufficient, and perhaps ideal, to quantify delta EEG rhythms for use as AS biomarkers. LAY SUMMARY: Electroencephalography (EEG) is a safe and reliable way of measuring abnormal brain activity in Angelman syndrome. We found that low-frequency "delta" EEG rhythms are increased in individuals with Angelman syndrome during all stages of overnight sleep. Delta rhythms can be used as a tool to measure improvement in future clinical trials. En ligne : http://dx.doi.org/10.1002/aur.2709 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=476

Aberrant oscillatory activity in neurofibromatosis type 1: an EEG study of resting state and working memory / Samantha J. BOOTH in Journal of Neurodevelopmental Disorders, 15 (2023)  

Public ISBD [article]  inJournal of Neurodevelopmental Disorders > 15 (2023) Titre : Aberrant oscillatory activity in neurofibromatosis type 1: an EEG study of resting state and working memory Type de document : texte imprimé Auteurs : Samantha J. BOOTH, Auteur ; Shruti GARG, Auteur ; Laura J.E. BROWN, Auteur ; Jonathan GREEN, Auteur ; Gorana POBRIC, Auteur ; Jason R. TAYLOR, Auteur Langues : Anglais (eng) Mots-clés : Adolescent  Female  Humans  Cognition  Cognitive Dysfunction/etiology  Electroencephalography  Memory, Short-Term  Neurofibromatosis 1/complications  Male  Electroencephalography (EEG)  Neurofibromatosis type 1 (NF1)  Oscillations  Oscillatory power  Phase coherence  Working memory Index. décimale : PER Périodiques Résumé : BACKGROUND: Neurofibromatosis type 1 (NF1) is a genetic neurodevelopmental disorder commonly associated with impaired cognitive function. Despite the well-explored functional roles of neural oscillations in neurotypical populations, only a limited number of studies have investigated oscillatory activity in the NF1 population. METHODS: We compared oscillatory spectral power and theta phase coherence in a paediatric sample with NF1 (N = 16; mean age: 13.03 years; female: n = 7) to an age/sex-matched typically developing control group (N = 16; mean age: 13.34 years; female: n = 7) using electroencephalography measured during rest and during working memory task performance. RESULTS: Relative to typically developing children, the NF1 group displayed higher resting state slow wave power and a lower peak alpha frequency. Moreover, higher theta power and frontoparietal theta phase coherence were observed in the NF1 group during working memory task performance, but these differences disappeared when controlling for baseline (resting state) activity. CONCLUSIONS: Overall, results suggest that NF1 is characterised by aberrant resting state oscillatory activity that may contribute towards the cognitive impairments experienced in this population. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03310996 (first posted: October 16, 2017). En ligne : https://dx.doi.org/10.1186/s11689-023-09492-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=575 [article] Aberrant oscillatory activity in neurofibromatosis type 1: an EEG study of resting state and working memory [texte imprimé] / Samantha J. BOOTH, Auteur ; Shruti GARG, Auteur ; Laura J.E. BROWN, Auteur ; Jonathan GREEN, Auteur ; Gorana POBRIC, Auteur ; Jason R. TAYLOR, Auteur. Langues : Anglais (eng) in Journal of Neurodevelopmental Disorders > 15 (2023) Mots-clés : Adolescent  Female  Humans  Cognition  Cognitive Dysfunction/etiology  Electroencephalography  Memory, Short-Term  Neurofibromatosis 1/complications  Male  Electroencephalography (EEG)  Neurofibromatosis type 1 (NF1)  Oscillations  Oscillatory power  Phase coherence  Working memory Index. décimale : PER Périodiques Résumé : BACKGROUND: Neurofibromatosis type 1 (NF1) is a genetic neurodevelopmental disorder commonly associated with impaired cognitive function. Despite the well-explored functional roles of neural oscillations in neurotypical populations, only a limited number of studies have investigated oscillatory activity in the NF1 population. METHODS: We compared oscillatory spectral power and theta phase coherence in a paediatric sample with NF1 (N = 16; mean age: 13.03 years; female: n = 7) to an age/sex-matched typically developing control group (N = 16; mean age: 13.34 years; female: n = 7) using electroencephalography measured during rest and during working memory task performance. RESULTS: Relative to typically developing children, the NF1 group displayed higher resting state slow wave power and a lower peak alpha frequency. Moreover, higher theta power and frontoparietal theta phase coherence were observed in the NF1 group during working memory task performance, but these differences disappeared when controlling for baseline (resting state) activity. CONCLUSIONS: Overall, results suggest that NF1 is characterised by aberrant resting state oscillatory activity that may contribute towards the cognitive impairments experienced in this population. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03310996 (first posted: October 16, 2017). En ligne : https://dx.doi.org/10.1186/s11689-023-09492-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=575

Altered frontal connectivity as a mechanism for executive function deficits in fragile X syndrome / Lauren M. SCHMITT in Molecular Autism, 13 (2022)  

Public ISBD [article]  inMolecular Autism > 13 (2022) . - 47 p. Titre : Altered frontal connectivity as a mechanism for executive function deficits in fragile X syndrome Type de document : texte imprimé Auteurs : Lauren M. SCHMITT, Auteur ; Joy LI, Auteur ; Rui LIU, Auteur ; Paul S. HORN, Auteur ; John A. SWEENEY, Auteur ; Craig ERICKSON, Auteur ; Ernest V. PEDAPATI, Auteur Article en page(s) : 47 p. Langues : Anglais (eng) Mots-clés : Child  Male  Humans  Female  Fragile X Syndrome  Executive Function  Autism Spectrum Disorder  Electroencephalography/methods  Brain  Connectivity  Eeg  Electroencephalography  Fxs  Fragile X syndrome  commercial or financial relationships that could be construed as a potential  conflict of interest for the current manuscript. Index. décimale : PER Périodiques Résumé : BACKGROUND: Fragile X syndrome (FXS) is the leading inherited monogenic cause of intellectual disability and autism spectrum disorder. Executive function (EF), necessary for adaptive goal-oriented behavior and dependent on frontal lobe function, is impaired in individuals with FXS. Yet, little is known how alterations in frontal lobe neural activity is related to EF deficits in FXS. METHODS: Sixty-one participants with FXS (54% males) and 71 age- and sex-matched typically-developing controls (TDC; 58% males) completed a five-minute resting state electroencephalography (EEG) protocol and a computerized battery of tests of EF, the Test of Attentional Performance for Children (KiTAP). Following source localization (minimum-norm estimate), we computed debiased weighted phase lag index (dWPLI), a phase connectivity value, for pairings between 18 nodes in frontal regions for gamma (30-55 Hz) and alpha (10.5-12.5 Hz) bands. Linear models were generated with fixed factors of group, sex, frequency, and connection. Relationships between frontal connectivity and EF variables also were examined. RESULTS: Individuals with FXS demonstrated increased gamma band and reduced alpha band connectivity across all frontal regions and across hemispheres compared to TDC. After controlling for nonverbal IQ, increased error rates on EF tasks were associated with increased gamma band and reduced alpha band connectivity. LIMITATIONS: Frontal connectivity findings are limited to intrinsic brain activity during rest and may not generalize to frontal connectivity during EF tasks or everyday function. CONCLUSIONS: We report gamma hyper-connectivity and alpha hypo-connectivity within source-localized frontal brain regions in FXS compared to TDC during resting-state EEG. For the first time in FXS, we report significant associations between EF and altered frontal connectivity, with increased error rate relating to increased gamma band connectivity and reduced alpha band connectivity. These findings suggest increased phase connectivity within gamma band may impair EF performance, whereas greater alpha band connectivity may provide compensatory support for EF. Together, these findings provide important insight into neurophysiological mechanisms of EF deficits in FXS and provide novel targets for treatment development. En ligne : http://dx.doi.org/10.1186/s13229-022-00527-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=491 [article] Altered frontal connectivity as a mechanism for executive function deficits in fragile X syndrome [texte imprimé] / Lauren M. SCHMITT, Auteur ; Joy LI, Auteur ; Rui LIU, Auteur ; Paul S. HORN, Auteur ; John A. SWEENEY, Auteur ; Craig ERICKSON, Auteur ; Ernest V. PEDAPATI, Auteur . - 47 p. Langues : Anglais (eng) in Molecular Autism > 13 (2022) . - 47 p. Mots-clés : Child  Male  Humans  Female  Fragile X Syndrome  Executive Function  Autism Spectrum Disorder  Electroencephalography/methods  Brain  Connectivity  Eeg  Electroencephalography  Fxs  Fragile X syndrome  commercial or financial relationships that could be construed as a potential  conflict of interest for the current manuscript. Index. décimale : PER Périodiques Résumé : BACKGROUND: Fragile X syndrome (FXS) is the leading inherited monogenic cause of intellectual disability and autism spectrum disorder. Executive function (EF), necessary for adaptive goal-oriented behavior and dependent on frontal lobe function, is impaired in individuals with FXS. Yet, little is known how alterations in frontal lobe neural activity is related to EF deficits in FXS. METHODS: Sixty-one participants with FXS (54% males) and 71 age- and sex-matched typically-developing controls (TDC; 58% males) completed a five-minute resting state electroencephalography (EEG) protocol and a computerized battery of tests of EF, the Test of Attentional Performance for Children (KiTAP). Following source localization (minimum-norm estimate), we computed debiased weighted phase lag index (dWPLI), a phase connectivity value, for pairings between 18 nodes in frontal regions for gamma (30-55 Hz) and alpha (10.5-12.5 Hz) bands. Linear models were generated with fixed factors of group, sex, frequency, and connection. Relationships between frontal connectivity and EF variables also were examined. RESULTS: Individuals with FXS demonstrated increased gamma band and reduced alpha band connectivity across all frontal regions and across hemispheres compared to TDC. After controlling for nonverbal IQ, increased error rates on EF tasks were associated with increased gamma band and reduced alpha band connectivity. LIMITATIONS: Frontal connectivity findings are limited to intrinsic brain activity during rest and may not generalize to frontal connectivity during EF tasks or everyday function. CONCLUSIONS: We report gamma hyper-connectivity and alpha hypo-connectivity within source-localized frontal brain regions in FXS compared to TDC during resting-state EEG. For the first time in FXS, we report significant associations between EF and altered frontal connectivity, with increased error rate relating to increased gamma band connectivity and reduced alpha band connectivity. These findings suggest increased phase connectivity within gamma band may impair EF performance, whereas greater alpha band connectivity may provide compensatory support for EF. Together, these findings provide important insight into neurophysiological mechanisms of EF deficits in FXS and provide novel targets for treatment development. En ligne : http://dx.doi.org/10.1186/s13229-022-00527-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=491

Absence of dynamic neural oscillatory response to environmental conditions marks childhood attention deficit hyperactivity disorder / Anne B. ARNETT in Journal of Child Psychology and Psychiatry, 63-12 (December 2022)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 63-12 (December 2022) . - p.1615-1621 Titre : Absence of dynamic neural oscillatory response to environmental conditions marks childhood attention deficit hyperactivity disorder Type de document : texte imprimé Auteurs : Anne B. ARNETT, Auteur ; Margaret FEAREY, Auteur ; Virginia PEISCH, Auteur ; April R. LEVIN, Auteur Article en page(s) : p.1615-1621 Langues : Anglais (eng) Mots-clés : Child  Female  Humans  Male  Attention Deficit Disorder with Hyperactivity  Electroencephalography  Brain  Adhd  Eeg  cognition  neurodevelopmental disorders Index. décimale : PER Périodiques Résumé : BACKGROUND: Prior research suggests that symptoms of attention deficit hyperactivity disorder (ADHD) and related neurodevelopmental disorders may derive from alterations in the brain's ability to flexibly tune the balance between information integration and segregation and global versus local processing. This balance allows the brain to optimally filter salient stimuli in the environment and can be measured with electroencephalography (EEG) via calculation of the aperiodic spectral slope. A steeper aperiodic slope increases the capacity of global neural networks to process low-salience stimuli, while a flatter aperiodic slope reflects an emphasis on local neural networks that respond preferentially to high-salience input. Although aperiodic slope differences have been reported in ADHD, prior studies have not accounted for differing levels of stimulus input in experimental paradigms. There is evidence to suggest that dynamic shifts in neural oscillation patterns in response to changing environmental conditions could be critical for attention regulation. METHODS: Using high-density resting EEG, we measured aperiodic spectral slope during low contrast (lights off) and high contrast (lights on) environmental conditions in a sample of 88 7-11-year-old children diagnosed with ADHD and 29 controls (30% female). RESULTS: While controls showed a flatter aperiodic slope during the high contrast (lights on) as compared to low contrast (lights off) environmental condition, children with ADHD did not show any change in aperiodic slope across conditions. CONCLUSIONS: This study presents a novel etiological model of biological mechanisms associated with ADHD. Children with ADHD show suboptimal modulation of intrinsic neural activity in response to changing environmental input. The dynamic spectral slope is a promising candidate biomarker for ADHD. The possibility that dynamic spectral slope is associated with cognitive-behavioral regulation more broadly merits further investigation. En ligne : http://dx.doi.org/10.1111/jcpp.13645 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=490 [article] Absence of dynamic neural oscillatory response to environmental conditions marks childhood attention deficit hyperactivity disorder [texte imprimé] / Anne B. ARNETT, Auteur ; Margaret FEAREY, Auteur ; Virginia PEISCH, Auteur ; April R. LEVIN, Auteur . - p.1615-1621. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 63-12 (December 2022) . - p.1615-1621 Mots-clés : Child  Female  Humans  Male  Attention Deficit Disorder with Hyperactivity  Electroencephalography  Brain  Adhd  Eeg  cognition  neurodevelopmental disorders Index. décimale : PER Périodiques Résumé : BACKGROUND: Prior research suggests that symptoms of attention deficit hyperactivity disorder (ADHD) and related neurodevelopmental disorders may derive from alterations in the brain's ability to flexibly tune the balance between information integration and segregation and global versus local processing. This balance allows the brain to optimally filter salient stimuli in the environment and can be measured with electroencephalography (EEG) via calculation of the aperiodic spectral slope. A steeper aperiodic slope increases the capacity of global neural networks to process low-salience stimuli, while a flatter aperiodic slope reflects an emphasis on local neural networks that respond preferentially to high-salience input. Although aperiodic slope differences have been reported in ADHD, prior studies have not accounted for differing levels of stimulus input in experimental paradigms. There is evidence to suggest that dynamic shifts in neural oscillation patterns in response to changing environmental conditions could be critical for attention regulation. METHODS: Using high-density resting EEG, we measured aperiodic spectral slope during low contrast (lights off) and high contrast (lights on) environmental conditions in a sample of 88 7-11-year-old children diagnosed with ADHD and 29 controls (30% female). RESULTS: While controls showed a flatter aperiodic slope during the high contrast (lights on) as compared to low contrast (lights off) environmental condition, children with ADHD did not show any change in aperiodic slope across conditions. CONCLUSIONS: This study presents a novel etiological model of biological mechanisms associated with ADHD. Children with ADHD show suboptimal modulation of intrinsic neural activity in response to changing environmental input. The dynamic spectral slope is a promising candidate biomarker for ADHD. The possibility that dynamic spectral slope is associated with cognitive-behavioral regulation more broadly merits further investigation. En ligne : http://dx.doi.org/10.1111/jcpp.13645 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=490

Altered theta-beta ratio in infancy associates with family history of ADHD and later ADHD-relevant temperamental traits / Jannath BEGUM-ALI in Journal of Child Psychology and Psychiatry, 63-9 (September 2022)  

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Associations between sensory processing and electrophysiological and neurochemical measures in children with ASD: an EEG-MRS study / Sarah PIERCE in Journal of Neurodevelopmental Disorders, 13 (2021)  

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Atypical audio-visual neural synchrony and speech processing in early autism / Xiaoyue WANG in Journal of Neurodevelopmental Disorders, 17 (2025)  

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Atypical neural variability in carriers of 16p11.2 copy number variants / Reem AL-JAWAHIRI in Autism Research, 12-9 (September 2019)  

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Chronic oxytocin improves neural decoupling at rest in children with autism: an exploratory RCT / Matthijs MOERKERKE ; Nicky DANIELS ; Qianqian ZHANG ; Ricchiuti GRAZIA ; Jean STEYAERT ; Jellina PRINSEN ; Bart BOETS in Journal of Child Psychology and Psychiatry, 65-10 (October 2024)  

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