12 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 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 BOURGERON, 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] / 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 BOURGERON, 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

Exploring EEG resting state differences in autism: sparse findings from a large cohort / Wenyi XIAO ; Nemanja VACI ; Michael X. COHEN ; Elizabeth MILNE in Molecular Autism, 16 (2025)  

Public ISBD [article]  inMolecular Autism > 16 (2025) . - 13 p. Titre : Exploring EEG resting state differences in autism: sparse findings from a large cohort Type de document : texte imprimé Auteurs : Wenyi XIAO, Auteur ; Nemanja VACI, Auteur ; Michael X. COHEN, Auteur ; Elizabeth MILNE, Auteur Article en page(s) : 13 p. Langues : Anglais (eng) Mots-clés : Humans  Electroencephalography  Male  Female  Autistic Disorder/physiopathology/diagnosis  Child  Adolescent  Adult  Young Adult  Rest  Cohort Studies  Child, Preschool  Autism diagnosis  Big data  Biomarkers  Heterogeneity  NIMH data archive  Neurodevelopmental disorders  Replication  Resting state  data were drawn from the National Institute of Mental Health Data Archive (NDA).  Consent for publication: Not applicable. Competing interests: The authors declare  no competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism is a complex neurodevelopmental condition, the precise neurobiological underpinnings of which remain elusive. Here, we focus on group differences in resting state EEG (rsEEG). Although many previous reports have pointed to differences between autistic and neurotypical participants in rsEEG, results have failed to replicate, sample sizes have typically been small, and only a small number of variables are reported in each study. METHODS: Here, we combined five datasets to create a large sample of autistic and neurotypical individuals (n = 776) and extracted 726 variables from each participant's data. We computed effect sizes and split-half replication rate for group differences between autistic and neurotypical individuals for each EEG variable while accounting for age, sex and IQ. Bootstrapping analysis with different sample sizes was done to establish how effect size and replicability varied with sample size. RESULTS: Despite the broad and exploratory approach, very few EEG measures varied with autism diagnosis, and when larger effects were found, the majority were not replicable under split-half testing. In the bootstrap analysis, smaller sample sizes were associated with larger effect sizes but lower replication rates. LIMITATIONS: Although we extracted a comprehensive set of EEG signal components from the data, there is the possibility that measures more sensitive to group differences may exist outside the set that we tested. The combination of data from different laboratories may have obscured group differences. However, our harmonisation process was sufficient to reveal several expected maturational changes in the EEG (e.g. delta power reduction with age), providing reassurance regarding both the integrity of the data and the validity of our data-handling and analysis approaches. CONCLUSIONS: Taken together, these data do not produce compelling evidence for a clear neurobiological signature that can be identified in autism. Instead, our results are consistent with heterogeneity in autism, and caution against studies that use autism diagnosis alone as a method to categorise complex and varied neurobiological profiles. En ligne : https://dx.doi.org/10.1186/s13229-025-00647-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555 [article] Exploring EEG resting state differences in autism: sparse findings from a large cohort [texte imprimé] / Wenyi XIAO, Auteur ; Nemanja VACI, Auteur ; Michael X. COHEN, Auteur ; Elizabeth MILNE, Auteur . - 13 p. Langues : Anglais (eng) in Molecular Autism > 16 (2025) . - 13 p. Mots-clés : Humans  Electroencephalography  Male  Female  Autistic Disorder/physiopathology/diagnosis  Child  Adolescent  Adult  Young Adult  Rest  Cohort Studies  Child, Preschool  Autism diagnosis  Big data  Biomarkers  Heterogeneity  NIMH data archive  Neurodevelopmental disorders  Replication  Resting state  data were drawn from the National Institute of Mental Health Data Archive (NDA).  Consent for publication: Not applicable. Competing interests: The authors declare  no competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism is a complex neurodevelopmental condition, the precise neurobiological underpinnings of which remain elusive. Here, we focus on group differences in resting state EEG (rsEEG). Although many previous reports have pointed to differences between autistic and neurotypical participants in rsEEG, results have failed to replicate, sample sizes have typically been small, and only a small number of variables are reported in each study. METHODS: Here, we combined five datasets to create a large sample of autistic and neurotypical individuals (n = 776) and extracted 726 variables from each participant's data. We computed effect sizes and split-half replication rate for group differences between autistic and neurotypical individuals for each EEG variable while accounting for age, sex and IQ. Bootstrapping analysis with different sample sizes was done to establish how effect size and replicability varied with sample size. RESULTS: Despite the broad and exploratory approach, very few EEG measures varied with autism diagnosis, and when larger effects were found, the majority were not replicable under split-half testing. In the bootstrap analysis, smaller sample sizes were associated with larger effect sizes but lower replication rates. LIMITATIONS: Although we extracted a comprehensive set of EEG signal components from the data, there is the possibility that measures more sensitive to group differences may exist outside the set that we tested. The combination of data from different laboratories may have obscured group differences. However, our harmonisation process was sufficient to reveal several expected maturational changes in the EEG (e.g. delta power reduction with age), providing reassurance regarding both the integrity of the data and the validity of our data-handling and analysis approaches. CONCLUSIONS: Taken together, these data do not produce compelling evidence for a clear neurobiological signature that can be identified in autism. Instead, our results are consistent with heterogeneity in autism, and caution against studies that use autism diagnosis alone as a method to categorise complex and varied neurobiological profiles. En ligne : https://dx.doi.org/10.1186/s13229-025-00647-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555

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 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] / 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

Resting-state alterations in emotion salience and default-mode network connectivity in atypical trajectories of psychotic-like experiences / Roxane ASSAF in Development and Psychopathology, 37-3 (August 2025)  

Public ISBD [article]  inDevelopment and Psychopathology > 37-3 (August 2025) . - p.1495-1504 Titre : Resting-state alterations in emotion salience and default-mode network connectivity in atypical trajectories of psychotic-like experiences Type de document : texte imprimé Auteurs : Roxane ASSAF, Auteur ; Julien OUELLET, Auteur ; Josiane BOURQUE, Auteur ; Emmanuel STIP, Auteur ; Marco LEYTON, Auteur ; Patricia J. CONROD, Auteur ; Stéphane POTVIN, Auteur Article en page(s) : p.1495-1504 Langues : Anglais (eng) Mots-clés : neuroimaging  psychosis risk  psychotic experiences  resting state Index. décimale : PER Périodiques Résumé : Social cognition is commonly altered in people with psychosis. Two main brain networks have been implicated: the default-mode network (DMN), which is associated with socio-cognitive processing, and the salience network (SN) associated with socio-affective processing. Disturbances to the resting-state functional connectivity of these networks have been identified in schizophrenia and high-risk individuals, but there have been no studies in adolescents displaying distinct trajectories of subclinical psychotic-like experiences (PLEs). To address this, the present study measured SN and DMN resting-state connectivity in a unique longitudinally followed sample of youth (n = 92) presenting with typical and atypical 4-year PLE trajectories. Compared to the typically developing low PLE control group, the atypical increasing PLE trajectory displayed reduced connectivity between the SN and DMN, increased connectivity between left and right insula, and widespread dysconnectivity from the insula and amygdala. These alterations are similar to those reported in schizophrenia and clinical high-risk samples, suggesting that early detection may be useful for mapping the developmental trajectories of psychotic disorders. En ligne : https://www.cambridge.org/core/product/19434E0667E840EA40DBE5932D1F3E54 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=564 [article] Resting-state alterations in emotion salience and default-mode network connectivity in atypical trajectories of psychotic-like experiences [texte imprimé] / Roxane ASSAF, Auteur ; Julien OUELLET, Auteur ; Josiane BOURQUE, Auteur ; Emmanuel STIP, Auteur ; Marco LEYTON, Auteur ; Patricia J. CONROD, Auteur ; Stéphane POTVIN, Auteur . - p.1495-1504. Langues : Anglais (eng) in Development and Psychopathology > 37-3 (August 2025) . - p.1495-1504 Mots-clés : neuroimaging  psychosis risk  psychotic experiences  resting state Index. décimale : PER Périodiques Résumé : Social cognition is commonly altered in people with psychosis. Two main brain networks have been implicated: the default-mode network (DMN), which is associated with socio-cognitive processing, and the salience network (SN) associated with socio-affective processing. Disturbances to the resting-state functional connectivity of these networks have been identified in schizophrenia and high-risk individuals, but there have been no studies in adolescents displaying distinct trajectories of subclinical psychotic-like experiences (PLEs). To address this, the present study measured SN and DMN resting-state connectivity in a unique longitudinally followed sample of youth (n = 92) presenting with typical and atypical 4-year PLE trajectories. Compared to the typically developing low PLE control group, the atypical increasing PLE trajectory displayed reduced connectivity between the SN and DMN, increased connectivity between left and right insula, and widespread dysconnectivity from the insula and amygdala. These alterations are similar to those reported in schizophrenia and clinical high-risk samples, suggesting that early detection may be useful for mapping the developmental trajectories of psychotic disorders. En ligne : https://www.cambridge.org/core/product/19434E0667E840EA40DBE5932D1F3E54 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=564

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 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] / 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

Dynamic functional connectivity in anorexia nervosa: alterations in states of low connectivity and state transitions / Eva MENNIGEN ; Daniel GEISLER ; Nico W. POLLER ; Katrin GRAMATKE ; Vince D. CALHOUN ; Veit ROESSNER ; Joseph A. KING ; Stefan EHRLICH in Journal of Child Psychology and Psychiatry, 65-10 (October 2024)  

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

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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)  

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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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Research Review: Shared and distinct structural and functional brain alterations in adolescents with major depressive disorder ? a multimodal meta-analysis / Baolin WU in Journal of Child Psychology and Psychiatry, 66-7 (July 2025)  

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