4 recherche sur le mot-clé 'Rest'

Resting and Functional Pupil Response Metrics Indicate Features of Reward Sensitivity and ASD in Children / Antoinette Sabatino DICRISCIO in Journal of Autism and Developmental Disorders, 51-7 (July 2021)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 51-7 (July 2021) . - p.2416-2435 Titre : Resting and Functional Pupil Response Metrics Indicate Features of Reward Sensitivity and ASD in Children Type de document : texte imprimé Auteurs : Antoinette Sabatino DICRISCIO, Auteur ; Vanessa TROIANI, Auteur Article en page(s) : p.2416-2435 Langues : Anglais (eng) Mots-clés : Adolescent  Autism Spectrum Disorder/physiopathology/psychology  Benchmarking  Biological Variation, Population  Child  Child, Preschool  Female  Humans  Individuality  Intelligence  Logistic Models  Male  Punishment/psychology  Pupil/physiology  Rest  Reward  Sex Factors  Autism spectrum disorder  Individual differences  Motivation  Punishment sensitivity  Pupillometry Index. décimale : PER Périodiques Résumé : The current study examined the relationship between quantitative measures of reward and punishment sensitivity, features of autism spectrum disorder (ASD), and resting and functional pupil response metrics across a clinically heterogeneous sample. Scores on a parent-report measure of punishment and reward sensitivity were correlated with ASD features. We also assessed whether pupil measurements could be used as a physiologic correlate of reward sensitivity and predictor of ASD diagnosis. In a logistic regression model, pupil dilation metrics, sex, and IQ, correctly classified 86.3% of participants as having an ASD diagnosis versus not. This research highlights individual differences of reward sensitivity associated with ASD features. Results support the use of pupil metrics and other patient-level variables as predictors of ASD diagnostic status. En ligne : http://dx.doi.org/10.1007/s10803-020-04721-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=452 [article] Resting and Functional Pupil Response Metrics Indicate Features of Reward Sensitivity and ASD in Children [texte imprimé] / Antoinette Sabatino DICRISCIO, Auteur ; Vanessa TROIANI, Auteur . - p.2416-2435. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 51-7 (July 2021) . - p.2416-2435 Mots-clés : Adolescent  Autism Spectrum Disorder/physiopathology/psychology  Benchmarking  Biological Variation, Population  Child  Child, Preschool  Female  Humans  Individuality  Intelligence  Logistic Models  Male  Punishment/psychology  Pupil/physiology  Rest  Reward  Sex Factors  Autism spectrum disorder  Individual differences  Motivation  Punishment sensitivity  Pupillometry Index. décimale : PER Périodiques Résumé : The current study examined the relationship between quantitative measures of reward and punishment sensitivity, features of autism spectrum disorder (ASD), and resting and functional pupil response metrics across a clinically heterogeneous sample. Scores on a parent-report measure of punishment and reward sensitivity were correlated with ASD features. We also assessed whether pupil measurements could be used as a physiologic correlate of reward sensitivity and predictor of ASD diagnosis. In a logistic regression model, pupil dilation metrics, sex, and IQ, correctly classified 86.3% of participants as having an ASD diagnosis versus not. This research highlights individual differences of reward sensitivity associated with ASD features. Results support the use of pupil metrics and other patient-level variables as predictors of ASD diagnostic status. En ligne : http://dx.doi.org/10.1007/s10803-020-04721-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=452

Context-dependent amygdala-prefrontal connectivity in youths with autism spectrum disorder / Isaac Ray CHRISTIAN in Research in Autism Spectrum Disorders, 91 (March 2022)  

Public ISBD [article]  inResearch in Autism Spectrum Disorders > 91 (March 2022) . - 101913 Titre : Context-dependent amygdala-prefrontal connectivity in youths with autism spectrum disorder Type de document : texte imprimé Auteurs : Isaac Ray CHRISTIAN, Auteur ; Michael T. LIUZZI, Auteur ; Qiongru YU, Auteur ; Maria KRYZA-LACOMBE, Auteur ; Christopher S. MONK, Auteur ; Johanna M. JARCHO, Auteur ; Jillian Lee WIGGINS, Auteur Année de publication : 2022 Article en page(s) : 101913 Langues : Anglais (eng) Mots-clés : Autism  Amygdala  Connectivity  Faces  Rest  Context Index. décimale : PER Périodiques Résumé : Background The amygdala-prefrontal cortex circuit is involved in processing socio-emotional cues and may partially mediate social impairment in autism spectrum disorder (ASD). Past task-based fMRI studies in ASD indicate a mix of hypo- and hyper-connectivity in response to socio-emotional stimuli whereas resting state studies report hypoconnectivity between these regions. However, it is still unknown whether ASD-related alterations in amygdala-prefrontal circuitry are present across socio-emotional tasks and resting state contexts within the same sample or instead, depend on context. Method ASD (n = 47) and typically developing individuals (TD; n = 72) underwent fMRI during an implicit emotional face processing task and during rest, and whole-brain amygdala connectivity was calculated to determine patterns that differed by context and diagnosis. Results Relative to TD, the ASD group demonstrated weaker left amygdala connectivity with the medial frontal gyrus and the left superior frontal gyrus during rest, but stronger connectivity during task. Furthermore, across both contexts, ASD vs. TD had stronger right amygdala connectivity with the left insula/superior temporal gyrus. Conclusion Findings suggest some alterations in amygdala connectivity of ASD may depend on context while others are pervasive across task and rest conditions. Understanding context-dependent brain alterations in ASD may help disambiguate the mechanisms subserving social impairment and provide targets for treatment. En ligne : https://doi.org/10.1016/j.rasd.2021.101913 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=458 [article] Context-dependent amygdala-prefrontal connectivity in youths with autism spectrum disorder [texte imprimé] / Isaac Ray CHRISTIAN, Auteur ; Michael T. LIUZZI, Auteur ; Qiongru YU, Auteur ; Maria KRYZA-LACOMBE, Auteur ; Christopher S. MONK, Auteur ; Johanna M. JARCHO, Auteur ; Jillian Lee WIGGINS, Auteur . - 2022 . - 101913. Langues : Anglais (eng) in Research in Autism Spectrum Disorders > 91 (March 2022) . - 101913 Mots-clés : Autism  Amygdala  Connectivity  Faces  Rest  Context Index. décimale : PER Périodiques Résumé : Background The amygdala-prefrontal cortex circuit is involved in processing socio-emotional cues and may partially mediate social impairment in autism spectrum disorder (ASD). Past task-based fMRI studies in ASD indicate a mix of hypo- and hyper-connectivity in response to socio-emotional stimuli whereas resting state studies report hypoconnectivity between these regions. However, it is still unknown whether ASD-related alterations in amygdala-prefrontal circuitry are present across socio-emotional tasks and resting state contexts within the same sample or instead, depend on context. Method ASD (n = 47) and typically developing individuals (TD; n = 72) underwent fMRI during an implicit emotional face processing task and during rest, and whole-brain amygdala connectivity was calculated to determine patterns that differed by context and diagnosis. Results Relative to TD, the ASD group demonstrated weaker left amygdala connectivity with the medial frontal gyrus and the left superior frontal gyrus during rest, but stronger connectivity during task. Furthermore, across both contexts, ASD vs. TD had stronger right amygdala connectivity with the left insula/superior temporal gyrus. Conclusion Findings suggest some alterations in amygdala connectivity of ASD may depend on context while others are pervasive across task and rest conditions. Understanding context-dependent brain alterations in ASD may help disambiguate the mechanisms subserving social impairment and provide targets for treatment. En ligne : https://doi.org/10.1016/j.rasd.2021.101913 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=458

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

White matter microstructure as a potential contributor to differences in resting state alpha activity between neurotypical and autistic children: a longitudinal multimodal imaging study / Heather L. GREEN ; Marybeth MCNAMEE ; Rose E. FRANZEN ; Marissa A. DIPIERO ; Jeffrey I. BERMAN ; Matthew KU ; Luke BLOY ; Song LIU ; Megan AIREY ; Sophia GOLDIN ; Lisa BLASKEY ; Emily S. KUSCHNER ; Mina KIM ; Kimberly KONKA ; Gregory A. MILLER ; J. Christopher EDGAR in Molecular Autism, 16 (2025)  

Public ISBD [article]  inMolecular Autism > 16 (2025) . - 19 Titre : White matter microstructure as a potential contributor to differences in resting state alpha activity between neurotypical and autistic children: a longitudinal multimodal imaging study Type de document : texte imprimé Auteurs : Heather L. GREEN, Auteur ; Marybeth MCNAMEE, Auteur ; Rose E. FRANZEN, Auteur ; Marissa A. DIPIERO, Auteur ; Jeffrey I. BERMAN, Auteur ; Matthew KU, Auteur ; Luke BLOY, Auteur ; Song LIU, Auteur ; Megan AIREY, Auteur ; Sophia GOLDIN, Auteur ; Lisa BLASKEY, Auteur ; Emily S. KUSCHNER, Auteur ; Mina KIM, Auteur ; Kimberly KONKA, Auteur ; Gregory A. MILLER, Auteur ; J. Christopher EDGAR, Auteur Article en page(s) : 19 Langues : Anglais (eng) Mots-clés : Humans  White Matter/diagnostic imaging/pathology  Child  Male  Female  Longitudinal Studies  Magnetoencephalography  Diffusion Tensor Imaging  Multimodal Imaging  Autism Spectrum Disorder/diagnostic imaging/physiopathology  Rest  Alpha Rhythm  Autistic Disorder/diagnostic imaging/physiopathology  Brain/diagnostic imaging/physiopathology/pathology  Autism spectrum disorder  Dti  Maturation  Peak alpha frequency  Human ethics: This study was approved by the Institutional Review Board of  Children?s Hospital of Philadelphia (IRB 15-012531) and performed in accordance  with the Declaration of Helsinki. Parents gave written informed consent and the  children gave verbal and written assent. Index. décimale : PER Périodiques Résumé : We and others have demonstrated the resting-state (RS) peak alpha frequency (PAF) as a potential clinical marker for young children with autism spectrum disorder (ASD), with previous studies observing a higher PAF in school-age children with ASD versus typically developing (TD) children, as well as an association between the RS PAF and measures of processing speed in TD but not ASD. The brain mechanisms associated with these findings are unknown. A few studies have found that in children more mature optic radiation white matter is associated with a higher PAF. Other studies have reported white matter and neural activity associations in TD but not ASD. The present study hypothesized that group differences in the RS PAF are due, in part, to group differences in optic radiation white matter and PAF associations. The maturation of the RS PAF (measured using magnetoencephalography(MEG)), optic radiation white matter (measured using diffusion tensor imaging(DTI)), and associations with processing speed were assessed in a longitudinal cohort of TD and ASD children. Time 1 MEG and DTI measures were obtained at 6-8 years old (59TD and 56ASD) with follow-up brain measures collected?~ 1.5 and ~ 3 years later. The parietal-occipital PAF increased with age in both groups by 0.13 Hz/year, with a main effect of group showing the expected higher PAF in ASD than TD (an average of 0.26 Hz across the 3 time points). Across age, the RS PAF predicted processing speed in TD but not ASD. Finally, more mature optic radiation white matter measures (FA, RD, MD, AD) were associated with a higher PAF in both groups. Present findings provide additional evidence supporting the use of the RS PAF as a brain marker in children with ASD 6-10 years old, and replicate findings of an association between the RS PAF and processing speed in TD but not ASD. The hypothesis that the RS PAF group differences (with ASD leading TD by about 2 years) would be explained by group differences in optic radiation white matter was not supported, with brain structure-function associations indicating that more mature optic radiation white matter is associated with a higher RS PAF in both groups. En ligne : https://dx.doi.org/10.1186/s13229-025-00646-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555 [article] White matter microstructure as a potential contributor to differences in resting state alpha activity between neurotypical and autistic children: a longitudinal multimodal imaging study [texte imprimé] / Heather L. GREEN, Auteur ; Marybeth MCNAMEE, Auteur ; Rose E. FRANZEN, Auteur ; Marissa A. DIPIERO, Auteur ; Jeffrey I. BERMAN, Auteur ; Matthew KU, Auteur ; Luke BLOY, Auteur ; Song LIU, Auteur ; Megan AIREY, Auteur ; Sophia GOLDIN, Auteur ; Lisa BLASKEY, Auteur ; Emily S. KUSCHNER, Auteur ; Mina KIM, Auteur ; Kimberly KONKA, Auteur ; Gregory A. MILLER, Auteur ; J. Christopher EDGAR, Auteur . - 19. Langues : Anglais (eng) in Molecular Autism > 16 (2025) . - 19 Mots-clés : Humans  White Matter/diagnostic imaging/pathology  Child  Male  Female  Longitudinal Studies  Magnetoencephalography  Diffusion Tensor Imaging  Multimodal Imaging  Autism Spectrum Disorder/diagnostic imaging/physiopathology  Rest  Alpha Rhythm  Autistic Disorder/diagnostic imaging/physiopathology  Brain/diagnostic imaging/physiopathology/pathology  Autism spectrum disorder  Dti  Maturation  Peak alpha frequency  Human ethics: This study was approved by the Institutional Review Board of  Children?s Hospital of Philadelphia (IRB 15-012531) and performed in accordance  with the Declaration of Helsinki. Parents gave written informed consent and the  children gave verbal and written assent. Index. décimale : PER Périodiques Résumé : We and others have demonstrated the resting-state (RS) peak alpha frequency (PAF) as a potential clinical marker for young children with autism spectrum disorder (ASD), with previous studies observing a higher PAF in school-age children with ASD versus typically developing (TD) children, as well as an association between the RS PAF and measures of processing speed in TD but not ASD. The brain mechanisms associated with these findings are unknown. A few studies have found that in children more mature optic radiation white matter is associated with a higher PAF. Other studies have reported white matter and neural activity associations in TD but not ASD. The present study hypothesized that group differences in the RS PAF are due, in part, to group differences in optic radiation white matter and PAF associations. The maturation of the RS PAF (measured using magnetoencephalography(MEG)), optic radiation white matter (measured using diffusion tensor imaging(DTI)), and associations with processing speed were assessed in a longitudinal cohort of TD and ASD children. Time 1 MEG and DTI measures were obtained at 6-8 years old (59TD and 56ASD) with follow-up brain measures collected?~ 1.5 and ~ 3 years later. The parietal-occipital PAF increased with age in both groups by 0.13 Hz/year, with a main effect of group showing the expected higher PAF in ASD than TD (an average of 0.26 Hz across the 3 time points). Across age, the RS PAF predicted processing speed in TD but not ASD. Finally, more mature optic radiation white matter measures (FA, RD, MD, AD) were associated with a higher PAF in both groups. Present findings provide additional evidence supporting the use of the RS PAF as a brain marker in children with ASD 6-10 years old, and replicate findings of an association between the RS PAF and processing speed in TD but not ASD. The hypothesis that the RS PAF group differences (with ASD leading TD by about 2 years) would be explained by group differences in optic radiation white matter was not supported, with brain structure-function associations indicating that more mature optic radiation white matter is associated with a higher RS PAF in both groups. En ligne : https://dx.doi.org/10.1186/s13229-025-00646-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555