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Children with autism spectrum disorder show altered functional connectivity and abnormal maturation trajectories in response to inverted faces / F. MAMASHLI in Autism Research, 14-6 (June 2021)
[article]
Titre : Children with autism spectrum disorder show altered functional connectivity and abnormal maturation trajectories in response to inverted faces Type de document : Texte imprimé et/ou numérique Auteurs : F. MAMASHLI, Auteur ; N. KOZHEMIAKO, Auteur ; S. KHAN, Auteur ; A. S. NUNES, Auteur ; N. M. MCGUIGGAN, Auteur ; A. LOSH, Auteur ; R. M. JOSEPH, Auteur ; Jyrki AHVENINEN, Auteur ; S. M. DOESBURG, Auteur ; M. S. HÄMÄLÄINEN, Auteur ; T. KENET, Auteur Article en page(s) : p.1101-1114 Langues : Anglais (eng) Mots-clés : Adolescent Autism Spectrum Disorder/diagnostic imaging Child Gamma Rhythm Humans Magnetic Resonance Imaging Magnetoencephalography Prefrontal Cortex autism spectrum disorder functional connectivity inverted faces phase-amplitude coupling Index. décimale : PER Périodiques Résumé : The processing of information conveyed by faces is a critical component of social communication. While the neurophysiology of processing upright faces has been studied extensively in autism spectrum disorder (ASD), less is known about the neurophysiological abnormalities associated with processing inverted faces in ASD. We used magnetoencephalography (MEG) to study both long-range and local functional connectivity, with the latter assessed using local cross-frequency coupling, in response to inverted faces stimuli, in 7-18?years old individuals with ASD and age and IQ matched typically developing (TD) individuals. We found abnormally reduced coupling between the phase of the alpha rhythm and the amplitude of the gamma rhythm in the fusiform face area (FFA) in response to inverted faces, as well as reduced long-range functional connectivity between the FFA and the inferior frontal gyrus (IFG) in response to inverted faces in the ASD group. These group differences were absent in response to upright faces. The magnitude of functional connectivity between the FFA and the IFG was significantly correlated with the severity of ASD, and FFA-IFG long-range functional connectivity increased with age in TD group, but not in the ASD group. Our findings suggest that both local and long-range functional connectivity are abnormally reduced in children with ASD when processing inverted faces, and that the pattern of abnormalities associated with the processing of inverted faces differs from the pattern of upright faces in ASD, likely due to the presumed greater reliance on top-down regulations necessary for efficient processing of inverted faces. LAY SUMMARY: We found alterations in the neurophysiological responses to inverted faces in children with ASD, that were not reflected in the evoked responses, and were not observed in the responses to upright faces. These alterations included reduced local functional connectivity in the fusiform face area (FFA), and decreased long-range alpha-band modulated functional connectivity between the FFA and the left IFG. The magnitude of long-range functional connectivity between the FFA and the inferior frontal gyrus was correlated with the severity of ASD. En ligne : http://dx.doi.org/10.1002/aur.2497 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=449
in Autism Research > 14-6 (June 2021) . - p.1101-1114[article] Children with autism spectrum disorder show altered functional connectivity and abnormal maturation trajectories in response to inverted faces [Texte imprimé et/ou numérique] / F. MAMASHLI, Auteur ; N. KOZHEMIAKO, Auteur ; S. KHAN, Auteur ; A. S. NUNES, Auteur ; N. M. MCGUIGGAN, Auteur ; A. LOSH, Auteur ; R. M. JOSEPH, Auteur ; Jyrki AHVENINEN, Auteur ; S. M. DOESBURG, Auteur ; M. S. HÄMÄLÄINEN, Auteur ; T. KENET, Auteur . - p.1101-1114.
Langues : Anglais (eng)
in Autism Research > 14-6 (June 2021) . - p.1101-1114
Mots-clés : Adolescent Autism Spectrum Disorder/diagnostic imaging Child Gamma Rhythm Humans Magnetic Resonance Imaging Magnetoencephalography Prefrontal Cortex autism spectrum disorder functional connectivity inverted faces phase-amplitude coupling Index. décimale : PER Périodiques Résumé : The processing of information conveyed by faces is a critical component of social communication. While the neurophysiology of processing upright faces has been studied extensively in autism spectrum disorder (ASD), less is known about the neurophysiological abnormalities associated with processing inverted faces in ASD. We used magnetoencephalography (MEG) to study both long-range and local functional connectivity, with the latter assessed using local cross-frequency coupling, in response to inverted faces stimuli, in 7-18?years old individuals with ASD and age and IQ matched typically developing (TD) individuals. We found abnormally reduced coupling between the phase of the alpha rhythm and the amplitude of the gamma rhythm in the fusiform face area (FFA) in response to inverted faces, as well as reduced long-range functional connectivity between the FFA and the inferior frontal gyrus (IFG) in response to inverted faces in the ASD group. These group differences were absent in response to upright faces. The magnitude of functional connectivity between the FFA and the IFG was significantly correlated with the severity of ASD, and FFA-IFG long-range functional connectivity increased with age in TD group, but not in the ASD group. Our findings suggest that both local and long-range functional connectivity are abnormally reduced in children with ASD when processing inverted faces, and that the pattern of abnormalities associated with the processing of inverted faces differs from the pattern of upright faces in ASD, likely due to the presumed greater reliance on top-down regulations necessary for efficient processing of inverted faces. LAY SUMMARY: We found alterations in the neurophysiological responses to inverted faces in children with ASD, that were not reflected in the evoked responses, and were not observed in the responses to upright faces. These alterations included reduced local functional connectivity in the fusiform face area (FFA), and decreased long-range alpha-band modulated functional connectivity between the FFA and the left IFG. The magnitude of long-range functional connectivity between the FFA and the inferior frontal gyrus was correlated with the severity of ASD. En ligne : http://dx.doi.org/10.1002/aur.2497 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=449 Electroencephalographic studies in children with autism spectrum disorders / Jolanta STRZELECKA in Research in Autism Spectrum Disorders, 8-3 (March 2014)
[article]
Titre : Electroencephalographic studies in children with autism spectrum disorders Type de document : Texte imprimé et/ou numérique Auteurs : Jolanta STRZELECKA, Auteur Article en page(s) : p.317-323 Langues : Anglais (eng) Mots-clés : Autism EEG Gamma rhythm Mu waves Phenotype Epilepsy Index. décimale : PER Périodiques Résumé : Abstract An important factor in the diagnosis and treatment of Autism spectrum disorder (ASD) is prescribed Electroencephalography (EEG). EEG changes may show the following: slowing, asymmetry, sharp waves or spikes, sharp and slow waves, generalized sharp and slow waves, or generalized polyspikes in a distributed or general area, multifocal or focal, unilateral or bilateral, and they may be located in many different areas of the brain. There is a need to look for a EEG phenotype typical of patients with ASD. The importance of gamma waves, rhythm mu, mirror neurons, and their role in patients with ASD was discussed. Epilepsy is reported to occur in one third of ASD patients. In ASD, seizures and EEG paroxysmal abnormalities could represent an epiphenomenon of a cerebral dysfunction independent of apparent lesions. This article reviews ASD and EEG abnormalities and discusses the interaction between epileptiform abnormalities and cognitive dysfunction. En ligne : http://dx.doi.org/10.1016/j.rasd.2013.11.010 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=224
in Research in Autism Spectrum Disorders > 8-3 (March 2014) . - p.317-323[article] Electroencephalographic studies in children with autism spectrum disorders [Texte imprimé et/ou numérique] / Jolanta STRZELECKA, Auteur . - p.317-323.
Langues : Anglais (eng)
in Research in Autism Spectrum Disorders > 8-3 (March 2014) . - p.317-323
Mots-clés : Autism EEG Gamma rhythm Mu waves Phenotype Epilepsy Index. décimale : PER Périodiques Résumé : Abstract An important factor in the diagnosis and treatment of Autism spectrum disorder (ASD) is prescribed Electroencephalography (EEG). EEG changes may show the following: slowing, asymmetry, sharp waves or spikes, sharp and slow waves, generalized sharp and slow waves, or generalized polyspikes in a distributed or general area, multifocal or focal, unilateral or bilateral, and they may be located in many different areas of the brain. There is a need to look for a EEG phenotype typical of patients with ASD. The importance of gamma waves, rhythm mu, mirror neurons, and their role in patients with ASD was discussed. Epilepsy is reported to occur in one third of ASD patients. In ASD, seizures and EEG paroxysmal abnormalities could represent an epiphenomenon of a cerebral dysfunction independent of apparent lesions. This article reviews ASD and EEG abnormalities and discusses the interaction between epileptiform abnormalities and cognitive dysfunction. En ligne : http://dx.doi.org/10.1016/j.rasd.2013.11.010 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=224 Abnormal coherence and sleep composition in children with Angelman syndrome: a retrospective EEG study / H. DEN BAKKER in Molecular Autism, 9 (2018)
[article]
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
in Molecular Autism > 9 (2018) . - 32p.[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