Altered patterns of brain dynamics linked with body mass index in youth with autism / Lauren KUPIS in Autism Research, 14-5 (May 2021)  

Public ISBD [article]  inAutism Research > 14-5 (May 2021) . - p.873-886 Titre : Altered patterns of brain dynamics linked with body mass index in youth with autism Type de document : Texte imprimé et/ou numérique Auteurs : Lauren KUPIS, Auteur ; Zachary T. GOODMAN, Auteur ; Leigha KIRCHER, Auteur ; Celia ROMERO, Auteur ; Bryce DIRKS, Auteur ; Catie CHANG, Auteur ; Jason S. NOMI, Auteur ; Lucina Q. UDDIN, Auteur Article en page(s) : p.873-886 Langues : Anglais (eng) Mots-clés : autism  cognitive flexibility  dynamics  obesity  resting-state functional MRI Index. décimale : PER Périodiques Résumé : Children with autism spectrum disorder (ASD) have higher rates of overweight and obesity (OWOB) compared with typically developing (TD) children. Brain functional connectivity differences have been shown in both ASD and OWOB. However, only one study to date has examined ASD and OWOB concurrently, so little is known regarding the neural mechanisms associated with the higher prevalence of OWOB and its behavioral impacts in ASD. We investigated co-activation patterns (CAPs) of brain regions identified by independent component analysis in 129 children and adolescents between 6 and 18?years of age (n =?68 ASD). We examined the interaction between body mass index (BMI) and diagnosis in predicting dynamic brain metrics (dwell time, DT; frequency of occurrence, and transitions between states) as well as dimensional brain-behavior relationships. The relationship between BMI and brain dynamics was moderated by diagnosis (ASD, TD), particularly among the frequency of CAP 4, characterized by co-activation of lateral frontoparietal, temporal, and frontal networks. This pattern was negatively associated with parent-reported inhibition skills. Children with ASD had shorter CAP 1, characterized by co-activation of the subcortical, temporal, sensorimotor, and frontal networks, and CAP 4 DTs compared with TD children. CAP 1 DT was negatively associated with cognitive flexibility, inhibition, social functioning, and BMI. Cognitive flexibility moderated the relationship between BMI and brain dynamics in the visual network. Our findings provide novel evidence of neural mechanisms associated with OWOB in children with ASD. Further, poorer cognitive flexibility may result in increased vulnerability for children with ASD and co-occurring OWOB. LAY SUMMARY: Obesity is a societal epidemic and is common in autism, however, little is known about the neural mechanisms associated with the higher rates of obesity in autism. Here, we find unique patterns of brain dynamics associated with obesity in autism that were not observed in typically developing children. Further, the relationship between body mass index and brain dynamics depended on cognitive flexibility. These findings suggest that individuals with autism may be more vulnerable to the effects of obesity on brain function. Autism Res 2021, 14: 873-886. © 2021 International Society for Autism Research, Wiley Periodicals LLC. En ligne : http://dx.doi.org/10.1002/aur.2488 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=444 [article] Altered patterns of brain dynamics linked with body mass index in youth with autism [Texte imprimé et/ou numérique] / Lauren KUPIS, Auteur ; Zachary T. GOODMAN, Auteur ; Leigha KIRCHER, Auteur ; Celia ROMERO, Auteur ; Bryce DIRKS, Auteur ; Catie CHANG, Auteur ; Jason S. NOMI, Auteur ; Lucina Q. UDDIN, Auteur . - p.873-886. Langues : Anglais (eng) in Autism Research > 14-5 (May 2021) . - p.873-886 Mots-clés : autism  cognitive flexibility  dynamics  obesity  resting-state functional MRI Index. décimale : PER Périodiques Résumé : Children with autism spectrum disorder (ASD) have higher rates of overweight and obesity (OWOB) compared with typically developing (TD) children. Brain functional connectivity differences have been shown in both ASD and OWOB. However, only one study to date has examined ASD and OWOB concurrently, so little is known regarding the neural mechanisms associated with the higher prevalence of OWOB and its behavioral impacts in ASD. We investigated co-activation patterns (CAPs) of brain regions identified by independent component analysis in 129 children and adolescents between 6 and 18?years of age (n =?68 ASD). We examined the interaction between body mass index (BMI) and diagnosis in predicting dynamic brain metrics (dwell time, DT; frequency of occurrence, and transitions between states) as well as dimensional brain-behavior relationships. The relationship between BMI and brain dynamics was moderated by diagnosis (ASD, TD), particularly among the frequency of CAP 4, characterized by co-activation of lateral frontoparietal, temporal, and frontal networks. This pattern was negatively associated with parent-reported inhibition skills. Children with ASD had shorter CAP 1, characterized by co-activation of the subcortical, temporal, sensorimotor, and frontal networks, and CAP 4 DTs compared with TD children. CAP 1 DT was negatively associated with cognitive flexibility, inhibition, social functioning, and BMI. Cognitive flexibility moderated the relationship between BMI and brain dynamics in the visual network. Our findings provide novel evidence of neural mechanisms associated with OWOB in children with ASD. Further, poorer cognitive flexibility may result in increased vulnerability for children with ASD and co-occurring OWOB. LAY SUMMARY: Obesity is a societal epidemic and is common in autism, however, little is known about the neural mechanisms associated with the higher rates of obesity in autism. Here, we find unique patterns of brain dynamics associated with obesity in autism that were not observed in typically developing children. Further, the relationship between body mass index and brain dynamics depended on cognitive flexibility. These findings suggest that individuals with autism may be more vulnerable to the effects of obesity on brain function. Autism Res 2021, 14: 873-886. © 2021 International Society for Autism Research, Wiley Periodicals LLC. En ligne : http://dx.doi.org/10.1002/aur.2488 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=444

Dynamic lag analysis reveals atypical brain information flow in autism spectrum disorder / Ville RAATIKAINEN in Autism Research, 13-2 (February 2020)  

Public ISBD [article]  inAutism Research > 13-2 (February 2020) . - p.244-258 Titre : Dynamic lag analysis reveals atypical brain information flow in autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Ville RAATIKAINEN, Auteur ; Vesa KORHONEN, Auteur ; Viola BORCHARDT, Auteur ; Niko HUOTARI, Auteur ; Heta HELAKARI, Auteur ; Janne KANANEN, Auteur ; Lauri RAITAMAA, Auteur ; Leena JOSKITT, Auteur ; Soile LOUKUSA, Auteur ; Tuula HURTIG, Auteur ; Hanna EBELING, Auteur ; Lucina Q. UDDIN, Auteur ; Vesa KIVINIEMI, Auteur ; Finnish Epilepsy ASSOCIATION, Auteur ; Instrumentariumin TIEDESAATIO, Auteur ; Jane ja Aatos Erkon SAATIO, Auteur Article en page(s) : p.244-258 Langues : Anglais (eng) Mots-clés : Asd  Mreg  dynamic lag analysis  human brain  lag pattern  resting state fMRI Index. décimale : PER Périodiques Résumé : This study investigated whole-brain dynamic lag pattern variations between neurotypical (NT) individuals and individuals with autism spectrum disorder (ASD) by applying a novel technique called dynamic lag analysis (DLA). The use of 3D magnetic resonance encephalography data with repetition time = 100 msec enables highly accurate analysis of the spread of activity between brain networks. Sixteen resting-state networks (RSNs) with the highest spatial correlation between NT individuals (n = 20) and individuals with ASD (n = 20) were analyzed. The dynamic lag pattern variation between each RSN pair was investigated using DLA, which measures time lag variation between each RSN pair combination and statistically defines how these lag patterns are altered between ASD and NT groups. DLA analyses indicated that 10.8% of the 120 RSN pairs had statistically significant (P-value <0.003) dynamic lag pattern differences that survived correction with surrogate data thresholding. Alterations in lag patterns were concentrated in salience, executive, visual, and default-mode networks, supporting earlier findings of impaired brain connectivity in these regions in ASD. 92.3% and 84.6% of the significant RSN pairs revealed shorter mean and median temporal lags in ASD versus NT, respectively. Taken together, these results suggest that altered lag patterns indicating atypical spread of activity between large-scale functional brain networks may contribute to the ASD phenotype. Autism Res 2020, 13: 244-258. (c) 2019 The Authors. Autism Research published by International Society for Autism Research published by Wiley Periodicals, Inc. LAY SUMMARY: Autism spectrum disorder (ASD) is characterized by atypical neurodevelopment. Using an ultra-fast neuroimaging procedure, we investigated communication across brain regions in adults with ASD compared with neurotypical (NT) individuals. We found that ASD individuals had altered information flow patterns across brain regions. Atypical patterns were concentrated in salience, executive, visual, and default-mode network areas of the brain that have previously been implicated in the pathophysiology of the disorder. En ligne : http://dx.doi.org/10.1002/aur.2218 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=420 [article] Dynamic lag analysis reveals atypical brain information flow in autism spectrum disorder [Texte imprimé et/ou numérique] / Ville RAATIKAINEN, Auteur ; Vesa KORHONEN, Auteur ; Viola BORCHARDT, Auteur ; Niko HUOTARI, Auteur ; Heta HELAKARI, Auteur ; Janne KANANEN, Auteur ; Lauri RAITAMAA, Auteur ; Leena JOSKITT, Auteur ; Soile LOUKUSA, Auteur ; Tuula HURTIG, Auteur ; Hanna EBELING, Auteur ; Lucina Q. UDDIN, Auteur ; Vesa KIVINIEMI, Auteur ; Finnish Epilepsy ASSOCIATION, Auteur ; Instrumentariumin TIEDESAATIO, Auteur ; Jane ja Aatos Erkon SAATIO, Auteur . - p.244-258. Langues : Anglais (eng) in Autism Research > 13-2 (February 2020) . - p.244-258 Mots-clés : Asd  Mreg  dynamic lag analysis  human brain  lag pattern  resting state fMRI Index. décimale : PER Périodiques Résumé : This study investigated whole-brain dynamic lag pattern variations between neurotypical (NT) individuals and individuals with autism spectrum disorder (ASD) by applying a novel technique called dynamic lag analysis (DLA). The use of 3D magnetic resonance encephalography data with repetition time = 100 msec enables highly accurate analysis of the spread of activity between brain networks. Sixteen resting-state networks (RSNs) with the highest spatial correlation between NT individuals (n = 20) and individuals with ASD (n = 20) were analyzed. The dynamic lag pattern variation between each RSN pair was investigated using DLA, which measures time lag variation between each RSN pair combination and statistically defines how these lag patterns are altered between ASD and NT groups. DLA analyses indicated that 10.8% of the 120 RSN pairs had statistically significant (P-value <0.003) dynamic lag pattern differences that survived correction with surrogate data thresholding. Alterations in lag patterns were concentrated in salience, executive, visual, and default-mode networks, supporting earlier findings of impaired brain connectivity in these regions in ASD. 92.3% and 84.6% of the significant RSN pairs revealed shorter mean and median temporal lags in ASD versus NT, respectively. Taken together, these results suggest that altered lag patterns indicating atypical spread of activity between large-scale functional brain networks may contribute to the ASD phenotype. Autism Res 2020, 13: 244-258. (c) 2019 The Authors. Autism Research published by International Society for Autism Research published by Wiley Periodicals, Inc. LAY SUMMARY: Autism spectrum disorder (ASD) is characterized by atypical neurodevelopment. Using an ultra-fast neuroimaging procedure, we investigated communication across brain regions in adults with ASD compared with neurotypical (NT) individuals. We found that ASD individuals had altered information flow patterns across brain regions. Atypical patterns were concentrated in salience, executive, visual, and default-mode network areas of the brain that have previously been implicated in the pathophysiology of the disorder. En ligne : http://dx.doi.org/10.1002/aur.2218 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=420

Parsing Heterogeneity of Executive Function in Typically and Atypically Developing Children: A Conceptual Replication and Exploration of Social Function / Adriana C. BAEZ in Journal of Autism and Developmental Disorders, 50-3 (March 2020)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 50-3 (March 2020) . - p.707-718 Titre : Parsing Heterogeneity of Executive Function in Typically and Atypically Developing Children: A Conceptual Replication and Exploration of Social Function Type de document : Texte imprimé et/ou numérique Auteurs : Adriana C. BAEZ, Auteur ; Dina R. DAJANI, Auteur ; Willa VOORHIES, Auteur ; Meaghan V. PARLADE, Auteur ; Michael ALESSANDRI, Auteur ; Jennifer C. BRITTON, Auteur ; Maria M. LLABRE, Auteur ; Lucina Q. UDDIN, Auteur Article en page(s) : p.707-718 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  Behavior Rating Inventory of Executive Function  Dimensional  Latent profile analysis Index. décimale : PER Périodiques Résumé : Executive function (EF), the set of cognitive processes that govern goal-directed behavior, varies within developmental samples and clinical populations. Here, we perform a conceptual replication of prior work (Dajani et al. in Sci Rep 6:36566, 2016) in an independent sample of typically developing children (n = 183) and children with autism spectrum disorder (n = 104). Consistent with previous work, the latent profile analysis of parent-report EF measures provided evidence for three EF classes, which exhibited differential proportions of diagnostic groups. Additionally, children in the impaired EF group exhibited greater levels of social impairment. These results highlight the heterogeneity of EF ability among clinical and non-clinical populations and the link between EF and social abilities. En ligne : http://dx.doi.org/10.1007/s10803-019-04290-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=419 [article] Parsing Heterogeneity of Executive Function in Typically and Atypically Developing Children: A Conceptual Replication and Exploration of Social Function [Texte imprimé et/ou numérique] / Adriana C. BAEZ, Auteur ; Dina R. DAJANI, Auteur ; Willa VOORHIES, Auteur ; Meaghan V. PARLADE, Auteur ; Michael ALESSANDRI, Auteur ; Jennifer C. BRITTON, Auteur ; Maria M. LLABRE, Auteur ; Lucina Q. UDDIN, Auteur . - p.707-718. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 50-3 (March 2020) . - p.707-718 Mots-clés : Autism spectrum disorder  Behavior Rating Inventory of Executive Function  Dimensional  Latent profile analysis Index. décimale : PER Périodiques Résumé : Executive function (EF), the set of cognitive processes that govern goal-directed behavior, varies within developmental samples and clinical populations. Here, we perform a conceptual replication of prior work (Dajani et al. in Sci Rep 6:36566, 2016) in an independent sample of typically developing children (n = 183) and children with autism spectrum disorder (n = 104). Consistent with previous work, the latent profile analysis of parent-report EF measures provided evidence for three EF classes, which exhibited differential proportions of diagnostic groups. Additionally, children in the impaired EF group exhibited greater levels of social impairment. These results highlight the heterogeneity of EF ability among clinical and non-clinical populations and the link between EF and social abilities. En ligne : http://dx.doi.org/10.1007/s10803-019-04290-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=419

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