6 recherche sur le mot-clé 'resting state'

Resting state EEG power spectrum and functional connectivity in autism: a cross-sectional analysis / Pilar GARCES in Molecular Autism, 13 (2022)  

Public ISBD [article]  inMolecular Autism > 13 (2022) . - 22 p. Titre : Resting state EEG power spectrum and functional connectivity in autism: a cross-sectional analysis Type de document : Texte imprimé et/ou numérique Auteurs : Pilar GARCES, Auteur ; Sarah BAUMEISTER, Auteur ; Luke MASON, Auteur ; Christopher H. CHATHAM, Auteur ; Stefan HOLIGA, Auteur ; Juergen DUKART, Auteur ; Emily J. H. JONES, Auteur ; Tobias BANASCHEWSKI, Auteur ; Simon BARON-COHEN, Auteur ; Sven BÖLTE, Auteur ; Jan K. BUITELAAR, Auteur ; Sarah DURSTON, Auteur ; Bob ORANJE, Auteur ; Antonio M. PERSICO, Auteur ; Christian F. BECKMANN, Auteur ; Thomas BOUGERON, Auteur ; Flavio DELL'ACQUA, Auteur ; Christine ECKER, Auteur ; Carolin MOESSNANG, Auteur ; Tony CHARMAN, Auteur ; Julian TILLMANN, Auteur ; Declan G. M. MURPHY, Auteur ; Mark H. JOHNSON, Auteur ; Eva LOTH, Auteur ; Daniel BRANDEIS, Auteur ; Joerg F. HIPP, Auteur Article en page(s) : 22 p. Langues : Anglais (eng) Mots-clés : Adolescent  Adult  Autism Spectrum Disorder/diagnosis  Autistic Disorder  Brain/diagnostic imaging  Brain Mapping/methods  Child  Cross-Sectional Studies  Electroencephalography/methods  Humans  Magnetic Resonance Imaging/methods  Reproducibility of Results  Autism spectrum disorder  Eeg  Functional connectivity  Power spectrum  Resting state Index. décimale : PER Périodiques Résumé : BACKGROUND: Understanding the development of the neuronal circuitry underlying autism spectrum disorder (ASD) is critical to shed light into its etiology and for the development of treatment options. Resting state EEG provides a window into spontaneous local and long-range neuronal synchronization and has been investigated in many ASD studies, but results are inconsistent. Unbiased investigation in large and comprehensive samples focusing on replicability is needed. METHODS: We quantified resting state EEG alpha peak metrics, power spectrum (PS, 2-32 Hz) and functional connectivity (FC) in 411 children, adolescents and adults (n=212 ASD, n=199 neurotypicals [NT], all with IQ?>?75). We performed analyses in source-space using individual head models derived from the participants' MRIs. We tested for differences in mean and variance between the ASD and NT groups for both PS and FC using linear mixed effects models accounting for age, sex, IQ and site effects. Then, we used machine learning to assess whether a multivariate combination of EEG features could better separate ASD and NT participants. All analyses were embedded within a train-validation approach (70%-30% split). RESULTS: In the training dataset, we found an interaction between age and group for the reactivity to eye opening (p=.042 uncorrected), and a significant but weak multivariate ASD vs. NT classification performance for PS and FC (sensitivity 0.52-0.62, specificity 0.59-0.73). None of these findings replicated significantly in the validation dataset, although the effect size in the validation dataset overlapped with the prediction interval from the training dataset. LIMITATIONS: The statistical power to detect weak effects-of the magnitude of those found in the training dataset-in the validation dataset is small, and we cannot fully conclude on the reproducibility of the training dataset's effects. CONCLUSIONS: This suggests that PS and FC values in ASD and NT have a strong overlap, and that differences between both groups (in both mean and variance) have, at best, a small effect size. Larger studies would be needed to investigate and replicate such potential effects. En ligne : http://dx.doi.org/10.1186/s13229-022-00500-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477 [article] Resting state EEG power spectrum and functional connectivity in autism: a cross-sectional analysis [Texte imprimé et/ou numérique] / Pilar GARCES, Auteur ; Sarah BAUMEISTER, Auteur ; Luke MASON, Auteur ; Christopher H. CHATHAM, Auteur ; Stefan HOLIGA, Auteur ; Juergen DUKART, Auteur ; Emily J. H. JONES, Auteur ; Tobias BANASCHEWSKI, Auteur ; Simon BARON-COHEN, Auteur ; Sven BÖLTE, Auteur ; Jan K. BUITELAAR, Auteur ; Sarah DURSTON, Auteur ; Bob ORANJE, Auteur ; Antonio M. PERSICO, Auteur ; Christian F. BECKMANN, Auteur ; Thomas BOUGERON, Auteur ; Flavio DELL'ACQUA, Auteur ; Christine ECKER, Auteur ; Carolin MOESSNANG, Auteur ; Tony CHARMAN, Auteur ; Julian TILLMANN, Auteur ; Declan G. M. MURPHY, Auteur ; Mark H. JOHNSON, Auteur ; Eva LOTH, Auteur ; Daniel BRANDEIS, Auteur ; Joerg F. HIPP, Auteur . - 22 p. Langues : Anglais (eng) in Molecular Autism > 13 (2022) . - 22 p. Mots-clés : Adolescent  Adult  Autism Spectrum Disorder/diagnosis  Autistic Disorder  Brain/diagnostic imaging  Brain Mapping/methods  Child  Cross-Sectional Studies  Electroencephalography/methods  Humans  Magnetic Resonance Imaging/methods  Reproducibility of Results  Autism spectrum disorder  Eeg  Functional connectivity  Power spectrum  Resting state Index. décimale : PER Périodiques Résumé : BACKGROUND: Understanding the development of the neuronal circuitry underlying autism spectrum disorder (ASD) is critical to shed light into its etiology and for the development of treatment options. Resting state EEG provides a window into spontaneous local and long-range neuronal synchronization and has been investigated in many ASD studies, but results are inconsistent. Unbiased investigation in large and comprehensive samples focusing on replicability is needed. METHODS: We quantified resting state EEG alpha peak metrics, power spectrum (PS, 2-32 Hz) and functional connectivity (FC) in 411 children, adolescents and adults (n=212 ASD, n=199 neurotypicals [NT], all with IQ?>?75). We performed analyses in source-space using individual head models derived from the participants' MRIs. We tested for differences in mean and variance between the ASD and NT groups for both PS and FC using linear mixed effects models accounting for age, sex, IQ and site effects. Then, we used machine learning to assess whether a multivariate combination of EEG features could better separate ASD and NT participants. All analyses were embedded within a train-validation approach (70%-30% split). RESULTS: In the training dataset, we found an interaction between age and group for the reactivity to eye opening (p=.042 uncorrected), and a significant but weak multivariate ASD vs. NT classification performance for PS and FC (sensitivity 0.52-0.62, specificity 0.59-0.73). None of these findings replicated significantly in the validation dataset, although the effect size in the validation dataset overlapped with the prediction interval from the training dataset. LIMITATIONS: The statistical power to detect weak effects-of the magnitude of those found in the training dataset-in the validation dataset is small, and we cannot fully conclude on the reproducibility of the training dataset's effects. CONCLUSIONS: This suggests that PS and FC values in ASD and NT have a strong overlap, and that differences between both groups (in both mean and variance) have, at best, a small effect size. Larger studies would be needed to investigate and replicate such potential effects. En ligne : http://dx.doi.org/10.1186/s13229-022-00500-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477

Identifying diagnostically-relevant resting state brain functional connectivity in the ventral posterior complex via genetic data mining in autism spectrum disorder / Philip R. BALDWIN in Autism Research, 9-5 (May 2016)  

Public ISBD [article]  inAutism Research > 9-5 (May 2016) . - p.553-562 Titre : Identifying diagnostically-relevant resting state brain functional connectivity in the ventral posterior complex via genetic data mining in autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Philip R. BALDWIN, Auteur ; Kaylah N. CURTIS, Auteur ; Michelle A. PATRIQUIN, Auteur ; Varina WOLF, Auteur ; Humsini VISWANATH, Auteur ; Chad SHAW, Auteur ; Yasunari SAKAI, Auteur ; Ramiro SALAS, Auteur Article en page(s) : p.553-562 Langues : Anglais (eng) Mots-clés : autism  brain  connectivity  genes  genetic data mining  neuroimaging  resting state  restricted and repetitive behaviors Index. décimale : PER Périodiques Résumé : Exome sequencing and copy number variation analyses continue to provide novel insight to the biological bases of autism spectrum disorder (ASD). The growing speed at which massive genetic data are produced causes serious lags in analysis and interpretation of the data. Thus, there is a need to develop systematic genetic data mining processes that facilitate efficient analysis of large datasets. We report a new genetic data mining system, ProcessGeneLists and integrated a list of ASD-related genes with currently available resources in gene expression and functional connectivity of the human brain. Our data-mining program successfully identified three primary regions of interest (ROIs) in the mouse brain: inferior colliculus, ventral posterior complex of the thalamus (VPC), and parafascicular nucleus (PFn). To understand its pathogenic relevance in ASD, we examined the resting state functional connectivity (RSFC) of the homologous ROIs in human brain with other brain regions that were previously implicated in the neuro-psychiatric features of ASD. Among them, the RSFC of the VPC with the medial frontal gyrus (MFG) was significantly more anticorrelated, whereas the RSFC of the PN with the globus pallidus was significantly increased in children with ASD compared with healthy children. Moreover, greater values of RSFC between VPC and MFG were correlated with severity index and repetitive behaviors in children with ASD. No significant RSFC differences were detected in adults with ASD. Together, these data demonstrate the utility of our data-mining program through identifying the aberrant connectivity of thalamo-cortical circuits in children with ASD. En ligne : http://dx.doi.org/10.1002/aur.1559 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=289 [article] Identifying diagnostically-relevant resting state brain functional connectivity in the ventral posterior complex via genetic data mining in autism spectrum disorder [Texte imprimé et/ou numérique] / Philip R. BALDWIN, Auteur ; Kaylah N. CURTIS, Auteur ; Michelle A. PATRIQUIN, Auteur ; Varina WOLF, Auteur ; Humsini VISWANATH, Auteur ; Chad SHAW, Auteur ; Yasunari SAKAI, Auteur ; Ramiro SALAS, Auteur . - p.553-562. Langues : Anglais (eng) in Autism Research > 9-5 (May 2016) . - p.553-562 Mots-clés : autism  brain  connectivity  genes  genetic data mining  neuroimaging  resting state  restricted and repetitive behaviors Index. décimale : PER Périodiques Résumé : Exome sequencing and copy number variation analyses continue to provide novel insight to the biological bases of autism spectrum disorder (ASD). The growing speed at which massive genetic data are produced causes serious lags in analysis and interpretation of the data. Thus, there is a need to develop systematic genetic data mining processes that facilitate efficient analysis of large datasets. We report a new genetic data mining system, ProcessGeneLists and integrated a list of ASD-related genes with currently available resources in gene expression and functional connectivity of the human brain. Our data-mining program successfully identified three primary regions of interest (ROIs) in the mouse brain: inferior colliculus, ventral posterior complex of the thalamus (VPC), and parafascicular nucleus (PFn). To understand its pathogenic relevance in ASD, we examined the resting state functional connectivity (RSFC) of the homologous ROIs in human brain with other brain regions that were previously implicated in the neuro-psychiatric features of ASD. Among them, the RSFC of the VPC with the medial frontal gyrus (MFG) was significantly more anticorrelated, whereas the RSFC of the PN with the globus pallidus was significantly increased in children with ASD compared with healthy children. Moreover, greater values of RSFC between VPC and MFG were correlated with severity index and repetitive behaviors in children with ASD. No significant RSFC differences were detected in adults with ASD. Together, these data demonstrate the utility of our data-mining program through identifying the aberrant connectivity of thalamo-cortical circuits in children with ASD. En ligne : http://dx.doi.org/10.1002/aur.1559 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=289

Unusual sensory features are related to resting-state cardiac vagus nerve activity in autism spectrum disorders / Kanae MATSUSHIMA in Research in Autism Spectrum Disorders, 25 (May 2016)  

Public ISBD [article]  inResearch in Autism Spectrum Disorders > 25 (May 2016) . - p.37-46 Titre : Unusual sensory features are related to resting-state cardiac vagus nerve activity in autism spectrum disorders Type de document : Texte imprimé et/ou numérique Auteurs : Kanae MATSUSHIMA, Auteur ; Jun MATSUBAYASHI, Auteur ; Motomi TOICHI, Auteur ; Yasuko FUNABIKI, Auteur ; Takeo KATO, Auteur ; Tomonari AWAYA, Auteur ; Toshihiro KATO, Auteur Article en page(s) : p.37-46 Langues : Anglais (eng) Mots-clés : Autism spectrum disorders  Sensory features  Parasympathetic nervous system  Resting state  Heart rate variability Index. décimale : PER Périodiques Résumé : The relationship between unusual sensory features (hyper-reactivity, hypo-reactivity, and unusual sensory interests) and the parasympathetic nervous system in autism spectrum disorder (ASD) has recently garnered interest. The purpose of this study was to investigate whether unusual sensory features are associated with resting-state cardiac vagus nerve activity in ASD children. Electrocardiogram signals were recorded during three 2-min resting periods to quantify the high frequency (HF) component of heart rate variability (HRV) in 37 children with ASD aged 6–12 and 32 typically developing children. Parent-reported questionnaires (Short Sensory Profile, SSP; Social Responsiveness Scale-2, SRS-2) assessed atypical sensory behaviors in daily life and autistic traits. Children with ASD consistently showed lower HF-HRV than typically developing children across the three resting periods. The SSP “Visual/Auditory Sensitivity” score was correlated with resting-state HF-HRV in the ASD group, indicating that ASD children with more severe visual/auditory hyper-reactivity in daily life have lower vagus nerve activity. The SRS-2 “Restricted Interests and Repetitive Behavior” score was also correlated with resting-state HF-HRV in the ASD group. These findings suggest that ASD children with lower vagus nerve activity may have inadequate self-regulatory capacity and difficulty regulating behavioral responses to unpredictable and unavoidable visual/auditory stimuli in daily life. En ligne : http://dx.doi.org/10.1016/j.rasd.2015.12.006 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=285 [article] Unusual sensory features are related to resting-state cardiac vagus nerve activity in autism spectrum disorders [Texte imprimé et/ou numérique] / Kanae MATSUSHIMA, Auteur ; Jun MATSUBAYASHI, Auteur ; Motomi TOICHI, Auteur ; Yasuko FUNABIKI, Auteur ; Takeo KATO, Auteur ; Tomonari AWAYA, Auteur ; Toshihiro KATO, Auteur . - p.37-46. Langues : Anglais (eng) in Research in Autism Spectrum Disorders > 25 (May 2016) . - p.37-46 Mots-clés : Autism spectrum disorders  Sensory features  Parasympathetic nervous system  Resting state  Heart rate variability Index. décimale : PER Périodiques Résumé : The relationship between unusual sensory features (hyper-reactivity, hypo-reactivity, and unusual sensory interests) and the parasympathetic nervous system in autism spectrum disorder (ASD) has recently garnered interest. The purpose of this study was to investigate whether unusual sensory features are associated with resting-state cardiac vagus nerve activity in ASD children. Electrocardiogram signals were recorded during three 2-min resting periods to quantify the high frequency (HF) component of heart rate variability (HRV) in 37 children with ASD aged 6–12 and 32 typically developing children. Parent-reported questionnaires (Short Sensory Profile, SSP; Social Responsiveness Scale-2, SRS-2) assessed atypical sensory behaviors in daily life and autistic traits. Children with ASD consistently showed lower HF-HRV than typically developing children across the three resting periods. The SSP “Visual/Auditory Sensitivity” score was correlated with resting-state HF-HRV in the ASD group, indicating that ASD children with more severe visual/auditory hyper-reactivity in daily life have lower vagus nerve activity. The SRS-2 “Restricted Interests and Repetitive Behavior” score was also correlated with resting-state HF-HRV in the ASD group. These findings suggest that ASD children with lower vagus nerve activity may have inadequate self-regulatory capacity and difficulty regulating behavioral responses to unpredictable and unavoidable visual/auditory stimuli in daily life. En ligne : http://dx.doi.org/10.1016/j.rasd.2015.12.006 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=285

Atypical Laterality of Resting Gamma Oscillations in Autism Spectrum Disorders / Christina R. MAXWELL in Journal of Autism and Developmental Disorders, 45-2 (February 2015)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 45-2 (February 2015) . - p.292-297 Titre : Atypical Laterality of Resting Gamma Oscillations in Autism Spectrum Disorders Type de document : Texte imprimé et/ou numérique Auteurs : Christina R. MAXWELL, Auteur ; Michele E. VILLALOBOS, Auteur ; Robert T. SCHULTZ, Auteur ; Beate HERPERTZ-DAHLMANN, Auteur ; Kerstin KONRAD, Auteur ; Gregor KOHLS, Auteur Article en page(s) : p.292-297 Langues : Anglais (eng) Mots-clés : Autism  Gamma  EEG  SRS  Resting state  Laterality Index. décimale : PER Périodiques Résumé : Abnormal brain oscillatory activity has been found in autism spectrum disorders (ASD) and proposed as a potential biomarker. While several studies have investigated gamma oscillations in ASD, none have examined resting gamma power across multiple brain regions. This study investigated resting gamma power using EEG in 15 boys with ASD and 18 age and intelligence quotient matched typically developing controls. We found a decrease in resting gamma power at right lateral electrodes in ASD. We further explored associations between gamma and ASD severity as measured by the Social Responsiveness Scale (SRS) and found a negative correlation between SRS and gamma power. We believe that our findings give further support of gamma oscillations as a potential biomarker for ASD. En ligne : http://dx.doi.org/10.1007/s10803-013-1842-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=258 [article] Atypical Laterality of Resting Gamma Oscillations in Autism Spectrum Disorders [Texte imprimé et/ou numérique] / Christina R. MAXWELL, Auteur ; Michele E. VILLALOBOS, Auteur ; Robert T. SCHULTZ, Auteur ; Beate HERPERTZ-DAHLMANN, Auteur ; Kerstin KONRAD, Auteur ; Gregor KOHLS, Auteur . - p.292-297. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 45-2 (February 2015) . - p.292-297 Mots-clés : Autism  Gamma  EEG  SRS  Resting state  Laterality Index. décimale : PER Périodiques Résumé : Abnormal brain oscillatory activity has been found in autism spectrum disorders (ASD) and proposed as a potential biomarker. While several studies have investigated gamma oscillations in ASD, none have examined resting gamma power across multiple brain regions. This study investigated resting gamma power using EEG in 15 boys with ASD and 18 age and intelligence quotient matched typically developing controls. We found a decrease in resting gamma power at right lateral electrodes in ASD. We further explored associations between gamma and ASD severity as measured by the Social Responsiveness Scale (SRS) and found a negative correlation between SRS and gamma power. We believe that our findings give further support of gamma oscillations as a potential biomarker for ASD. En ligne : http://dx.doi.org/10.1007/s10803-013-1842-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=258

Callous-unemotional traits and reduced default mode network connectivity within a community sample of children / Rebecca H. UMBACH in Development and Psychopathology, 33-4 (October 2021)  

Public ISBD [article]  inDevelopment and Psychopathology > 33-4 (October 2021) . - p.1170-1183 Titre : Callous-unemotional traits and reduced default mode network connectivity within a community sample of children Type de document : Texte imprimé et/ou numérique Auteurs : Rebecca H. UMBACH, Auteur ; Nim TOTTENHAM, Auteur Article en page(s) : p.1170-1183 Langues : Anglais (eng) Mots-clés : brain imaging developmental  callous-unemotional  resting state Index. décimale : PER Périodiques Résumé : Callous-unemotional (CU) traits characterize a subset of youth at risk for persistent and serious antisocial behavior. Differences in resting state connectivity in the default mode network (DMN) have been associated with CU traits in forensic and clinical samples of adolescents and with deficient interpersonal/affective traits (often operationalized as Factor 1 psychopathy traits) in adults. It is unclear whether these brain-behavior associations extend to community-based children. Using mixed model analyses, we tested the associations between CU traits and within-network resting-state connectivity of seven task-activated networks and the DMN using data from 9,636 9–11-year-olds in the Adolescent Brain Cognitive Development (ABCD) study. Even after accounting for comorbid externalizing problems, higher levels of CU traits were associated with reduced connectivity within the DMN. This finding is consistent with prior literature surrounding psychopathy and CU traits in clinically and forensically based populations, suggesting the correlation likely exists on a spectrum, can be detected in childhood, and is not restricted to children with significant antisocial behavior. En ligne : http://dx.doi.org/10.1017/S0954579420000401 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=457 [article] Callous-unemotional traits and reduced default mode network connectivity within a community sample of children [Texte imprimé et/ou numérique] / Rebecca H. UMBACH, Auteur ; Nim TOTTENHAM, Auteur . - p.1170-1183. Langues : Anglais (eng) in Development and Psychopathology > 33-4 (October 2021) . - p.1170-1183 Mots-clés : brain imaging developmental  callous-unemotional  resting state Index. décimale : PER Périodiques Résumé : Callous-unemotional (CU) traits characterize a subset of youth at risk for persistent and serious antisocial behavior. Differences in resting state connectivity in the default mode network (DMN) have been associated with CU traits in forensic and clinical samples of adolescents and with deficient interpersonal/affective traits (often operationalized as Factor 1 psychopathy traits) in adults. It is unclear whether these brain-behavior associations extend to community-based children. Using mixed model analyses, we tested the associations between CU traits and within-network resting-state connectivity of seven task-activated networks and the DMN using data from 9,636 9–11-year-olds in the Adolescent Brain Cognitive Development (ABCD) study. Even after accounting for comorbid externalizing problems, higher levels of CU traits were associated with reduced connectivity within the DMN. This finding is consistent with prior literature surrounding psychopathy and CU traits in clinically and forensically based populations, suggesting the correlation likely exists on a spectrum, can be detected in childhood, and is not restricted to children with significant antisocial behavior. En ligne : http://dx.doi.org/10.1017/S0954579420000401 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=457

Dysregulation of temporal dynamics of synchronous neural activity in adolescents on autism spectrum / Evie A. MALAIA in Autism Research, 13-1 (January 2020)  

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