Antipsychotic Medication and Risk of Incident Seizure in People with Autism Spectrum Disorder: Analyses with Cohort and Within Individual Study Designs / Basmah H. ALFAGEH in Journal of Autism and Developmental Disorders, 52-11 (November 2022)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 52-11 (November 2022) . - p.4817-4827 Titre : Antipsychotic Medication and Risk of Incident Seizure in People with Autism Spectrum Disorder: Analyses with Cohort and Within Individual Study Designs Type de document : Texte imprimé et/ou numérique Auteurs : Basmah H. ALFAGEH, Auteur ; Frank M. C. BESAG, Auteur ; Le GAO, Auteur ; Tian-Tian MA, Auteur ; Kenneth K. C. MAN, Auteur ; Ian C. K. WONG, Auteur ; Ruth BRAUER, Auteur Article en page(s) : p.4817-4827 Langues : Anglais (eng) Mots-clés : Antipsychotic Agents/adverse effects  Autism Spectrum Disorder/drug therapy/epidemiology  Cohort Studies  Humans  Psychotropic Drugs/therapeutic use  Retrospective Studies  Seizures/chemically induced/drug therapy/epidemiology  Antipsychotic medication  Autism spectrum disorder (ASD)  Incident seizure  Psychotropic medication Index. décimale : PER Périodiques Résumé : There are many case reports of seizures apparently associated with the prescription of antipsychotics. This study aimed to examine whether there is an association between the prescription of antipsychotics and incident seizures in individuals with autism spectrum disorder using retrospective data based on patients' chart review. A cohort study was conducted to compare the rate of incident seizure between 3923 users of antipsychotics with 10,086 users of other psychotropics. This was followed by a self-controlled case series (SCCS) analysis of 149 patients to eliminate the effect of time-invariant confounders. The results showed no evidence of increased risk of seizure after exposure to antipsychotic agents (Hazard Ratio 1.28, 95% CI 0.74-2.19) compared to other psychotropics. En ligne : http://dx.doi.org/10.1007/s10803-021-05208-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=489 [article] Antipsychotic Medication and Risk of Incident Seizure in People with Autism Spectrum Disorder: Analyses with Cohort and Within Individual Study Designs [Texte imprimé et/ou numérique] / Basmah H. ALFAGEH, Auteur ; Frank M. C. BESAG, Auteur ; Le GAO, Auteur ; Tian-Tian MA, Auteur ; Kenneth K. C. MAN, Auteur ; Ian C. K. WONG, Auteur ; Ruth BRAUER, Auteur . - p.4817-4827. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 52-11 (November 2022) . - p.4817-4827 Mots-clés : Antipsychotic Agents/adverse effects  Autism Spectrum Disorder/drug therapy/epidemiology  Cohort Studies  Humans  Psychotropic Drugs/therapeutic use  Retrospective Studies  Seizures/chemically induced/drug therapy/epidemiology  Antipsychotic medication  Autism spectrum disorder (ASD)  Incident seizure  Psychotropic medication Index. décimale : PER Périodiques Résumé : There are many case reports of seizures apparently associated with the prescription of antipsychotics. This study aimed to examine whether there is an association between the prescription of antipsychotics and incident seizures in individuals with autism spectrum disorder using retrospective data based on patients' chart review. A cohort study was conducted to compare the rate of incident seizure between 3923 users of antipsychotics with 10,086 users of other psychotropics. This was followed by a self-controlled case series (SCCS) analysis of 149 patients to eliminate the effect of time-invariant confounders. The results showed no evidence of increased risk of seizure after exposure to antipsychotic agents (Hazard Ratio 1.28, 95% CI 0.74-2.19) compared to other psychotropics. En ligne : http://dx.doi.org/10.1007/s10803-021-05208-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=489

Decreased functional concordance in male children with autism spectrum disorder / Sha WANG ; Zaifa XUE ; Jing LIU ; Xiaoxia NIU ; Le GAO ; Xiaonan GUO in Autism Research, 16-12 (December 2023)  

Public ISBD [article]  inAutism Research > 16-12 (December 2023) . - p.2263-2274 Titre : Decreased functional concordance in male children with autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Sha WANG, Auteur ; Zaifa XUE, Auteur ; Jing LIU, Auteur ; Xiaoxia NIU, Auteur ; Le GAO, Auteur ; Xiaonan GUO, Auteur Article en page(s) : p.2263-2274 Index. décimale : PER Périodiques Résumé : Abstract Autism spectrum disorder (ASD) is an early-onset neurodevelopmental condition with altered function of the brain. At present, a variety of functional metrics from neuroimaging techniques have been used to explore ASD neurological mechanisms. However, the concordance of these functional metrics in ASD is still unclear. This study used resting-state functional magnetic resonance imaging data, which were obtained from the open-access Autism Brain Imaging Data Exchange database, including 105 children with ASD and 102 demographically matched typically developing (TD) children. Both voxel-wise and volume-wise functional concordance were calculated by combining the dynamic amplitude of low-frequency fluctuations, dynamic regional homogeneity, and dynamic global signal correlation. Furthermore, a two-sample t-test was performed to compare the functional concordance between ASD and TD groups. Finally, the relationship between voxel-wise functional concordance and Autism Diagnostic Observation Schedule subscores was analyzed using the multivariate support vector regression in the ASD group. Compared with the TD group, we found that ASD showed decreased voxel-wise functional concordance in the left superior temporal pole (STGp), right amygdala, and left opercular part of the inferior frontal gyrus (IFGoper). Moreover, decreased functional concordance was associated with restricted and repetitive behaviors in ASD. Our results found altered brain function in the left STGp, right amygdala, and left IFGoper in ASD by functional concordance, indicating that functional concordance may provide new insights into the neurological mechanisms of ASD. En ligne : https://doi.org/10.1002/aur.3035 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=518 [article] Decreased functional concordance in male children with autism spectrum disorder [Texte imprimé et/ou numérique] / Sha WANG, Auteur ; Zaifa XUE, Auteur ; Jing LIU, Auteur ; Xiaoxia NIU, Auteur ; Le GAO, Auteur ; Xiaonan GUO, Auteur . - p.2263-2274. in Autism Research > 16-12 (December 2023) . - p.2263-2274 Index. décimale : PER Périodiques Résumé : Abstract Autism spectrum disorder (ASD) is an early-onset neurodevelopmental condition with altered function of the brain. At present, a variety of functional metrics from neuroimaging techniques have been used to explore ASD neurological mechanisms. However, the concordance of these functional metrics in ASD is still unclear. This study used resting-state functional magnetic resonance imaging data, which were obtained from the open-access Autism Brain Imaging Data Exchange database, including 105 children with ASD and 102 demographically matched typically developing (TD) children. Both voxel-wise and volume-wise functional concordance were calculated by combining the dynamic amplitude of low-frequency fluctuations, dynamic regional homogeneity, and dynamic global signal correlation. Furthermore, a two-sample t-test was performed to compare the functional concordance between ASD and TD groups. Finally, the relationship between voxel-wise functional concordance and Autism Diagnostic Observation Schedule subscores was analyzed using the multivariate support vector regression in the ASD group. Compared with the TD group, we found that ASD showed decreased voxel-wise functional concordance in the left superior temporal pole (STGp), right amygdala, and left opercular part of the inferior frontal gyrus (IFGoper). Moreover, decreased functional concordance was associated with restricted and repetitive behaviors in ASD. Our results found altered brain function in the left STGp, right amygdala, and left IFGoper in ASD by functional concordance, indicating that functional concordance may provide new insights into the neurological mechanisms of ASD. En ligne : https://doi.org/10.1002/aur.3035 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=518

Heterogeneity of dynamic synergetic configurations of salience network in children with autism spectrum disorder / Guangjin ZHAI ; Junfeng LIU ; Xia ZHANG ; Tao ZHANG ; Dong CUI ; Rongjuan ZHOU ; Le GAO in Autism Research, 16-12 (December 2023)  

Public ISBD [article]  inAutism Research > 16-12 (December 2023) . - p.2275-2290 Titre : Heterogeneity of dynamic synergetic configurations of salience network in children with autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Guangjin ZHAI, Auteur ; Junfeng LIU, Auteur ; Xia ZHANG, Auteur ; Tao ZHANG, Auteur ; Dong CUI, Auteur ; Rongjuan ZHOU, Auteur ; Le GAO, Auteur Article en page(s) : p.2275-2290 Index. décimale : PER Périodiques Résumé : Abstract Atypical functional connectivity (FC) patterns have been identified in autism spectrum disorders (ASD), especially within salience network (SN) and between SN and default mode network (DMN) and central executive network (CEN). But whether the dynamic configuration of intra-SN and inter-SN (SN with DMN and CEN) FC in ASD is also heterogeneous remains unknown. Based on the resting-state functional magnetic resonance imaging data from 105 ASD and 102 typically-developing controls (TC), we calculated the time-varying FC of intra-SN and inter-SN (SN with DMN and CEN). Then, the joint recurrence features for the time-varying FC were calculated to assess how the SN dynamically recruits different configurations of network segregation and integration in ASD, that is, synergies, from the dynamical systems perspective. We analyzed the differences in synergetic patterns between ASD subtypes obtained by k-means clustering algorithm based on the synergy of SN and TC, and investigated the relationships between synergy of SN and severity of clinical symptoms of ASD for ASD subtypes. Two ASD subtypes were revealed, where the synergy of SN in ASD subtype 1 has lower stability and periodicity compared to the TC, and ASD subtype 2 exhibits the opposite alteration. Synergy of SN for ASD subtype 1 and 2 was found to predict the severity of communication impairments and restricted and repetitive behaviors in ASD, respectively. These results suggest the existence of subtypes with distinct patterns of the synergy of SN in ASD, and provide insight into the complex pathophysiological mechanism of clinical manifestations of ASD. En ligne : https://doi.org/10.1002/aur.3037 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=518 [article] Heterogeneity of dynamic synergetic configurations of salience network in children with autism spectrum disorder [Texte imprimé et/ou numérique] / Guangjin ZHAI, Auteur ; Junfeng LIU, Auteur ; Xia ZHANG, Auteur ; Tao ZHANG, Auteur ; Dong CUI, Auteur ; Rongjuan ZHOU, Auteur ; Le GAO, Auteur . - p.2275-2290. in Autism Research > 16-12 (December 2023) . - p.2275-2290 Index. décimale : PER Périodiques Résumé : Abstract Atypical functional connectivity (FC) patterns have been identified in autism spectrum disorders (ASD), especially within salience network (SN) and between SN and default mode network (DMN) and central executive network (CEN). But whether the dynamic configuration of intra-SN and inter-SN (SN with DMN and CEN) FC in ASD is also heterogeneous remains unknown. Based on the resting-state functional magnetic resonance imaging data from 105 ASD and 102 typically-developing controls (TC), we calculated the time-varying FC of intra-SN and inter-SN (SN with DMN and CEN). Then, the joint recurrence features for the time-varying FC were calculated to assess how the SN dynamically recruits different configurations of network segregation and integration in ASD, that is, synergies, from the dynamical systems perspective. We analyzed the differences in synergetic patterns between ASD subtypes obtained by k-means clustering algorithm based on the synergy of SN and TC, and investigated the relationships between synergy of SN and severity of clinical symptoms of ASD for ASD subtypes. Two ASD subtypes were revealed, where the synergy of SN in ASD subtype 1 has lower stability and periodicity compared to the TC, and ASD subtype 2 exhibits the opposite alteration. Synergy of SN for ASD subtype 1 and 2 was found to predict the severity of communication impairments and restricted and repetitive behaviors in ASD, respectively. These results suggest the existence of subtypes with distinct patterns of the synergy of SN in ASD, and provide insight into the complex pathophysiological mechanism of clinical manifestations of ASD. En ligne : https://doi.org/10.1002/aur.3037 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=518

Inter-individual heterogeneity of functional brain networks in children with autism spectrum disorder / Xiaonan GUO in Molecular Autism, 13 (2022)  

Public ISBD [article]  inMolecular Autism > 13 (2022) . - 52 p. Titre : Inter-individual heterogeneity of functional brain networks in children with autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Xiaonan GUO, Auteur ; Guangjin ZHAI, Auteur ; Junfeng LIU, Auteur ; Yabo CAO, Auteur ; Xia ZHANG, Auteur ; Dong CUI, Auteur ; Le GAO, Auteur Article en page(s) : 52 p. Langues : Anglais (eng) Mots-clés : Humans  Male  Child  Autism Spectrum Disorder/diagnostic imaging  Brain Mapping/methods  Magnetic Resonance Imaging/methods  Brain/diagnostic imaging  Autistic Disorder  Neural Pathways/diagnostic imaging  Autism spectrum disorder  Functional connectivity  Functional magnetic resonance imaging  Subtype  k-means clustering Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD) is a neurodevelopmental disorder with considerable clinical heterogeneity. This study aimed to explore the heterogeneity of ASD based on inter-individual heterogeneity of functional brain networks. METHODS: Resting-state functional magnetic resonance imaging data from the Autism Brain Imaging Data Exchange database were used in this study for 105 children with ASD and 102 demographically matched typical controls (TC) children. Functional connectivity (FC) networks were first obtained for ASD and TC groups, and inter-individual deviation of functional connectivity (IDFC) from the TC group was then calculated for each individual with ASD. A k-means clustering algorithm was used to obtain ASD subtypes based on IDFC patterns. The FC patterns were further compared between ASD subtypes and the TC group from the brain region, network, and whole-brain levels. The relationship between IDFC and the severity of clinical symptoms of ASD for ASD subtypes was also analyzed using a support vector regression model. RESULTS: Two ASD subtypes were identified based on the IDFC patterns. Compared with the TC group, the ASD subtype 1 group exhibited a hypoconnectivity pattern and the ASD subtype 2 group exhibited a hyperconnectivity pattern. IDFC for ASD subtype 1 and subtype 2 was found to predict the severity of social communication impairments and the severity of restricted and repetitive behaviors in ASD, respectively. LIMITATIONS: Only male children were selected for this study, which limits the ability to study the effects of gender and development on ASD heterogeneity. CONCLUSIONS: These results suggest the existence of subtypes with different FC patterns in ASD and provide insight into the complex pathophysiological mechanism of clinical manifestations of ASD. En ligne : http://dx.doi.org/10.1186/s13229-022-00535-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=491 [article] Inter-individual heterogeneity of functional brain networks in children with autism spectrum disorder [Texte imprimé et/ou numérique] / Xiaonan GUO, Auteur ; Guangjin ZHAI, Auteur ; Junfeng LIU, Auteur ; Yabo CAO, Auteur ; Xia ZHANG, Auteur ; Dong CUI, Auteur ; Le GAO, Auteur . - 52 p. Langues : Anglais (eng) in Molecular Autism > 13 (2022) . - 52 p. Mots-clés : Humans  Male  Child  Autism Spectrum Disorder/diagnostic imaging  Brain Mapping/methods  Magnetic Resonance Imaging/methods  Brain/diagnostic imaging  Autistic Disorder  Neural Pathways/diagnostic imaging  Autism spectrum disorder  Functional connectivity  Functional magnetic resonance imaging  Subtype  k-means clustering Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD) is a neurodevelopmental disorder with considerable clinical heterogeneity. This study aimed to explore the heterogeneity of ASD based on inter-individual heterogeneity of functional brain networks. METHODS: Resting-state functional magnetic resonance imaging data from the Autism Brain Imaging Data Exchange database were used in this study for 105 children with ASD and 102 demographically matched typical controls (TC) children. Functional connectivity (FC) networks were first obtained for ASD and TC groups, and inter-individual deviation of functional connectivity (IDFC) from the TC group was then calculated for each individual with ASD. A k-means clustering algorithm was used to obtain ASD subtypes based on IDFC patterns. The FC patterns were further compared between ASD subtypes and the TC group from the brain region, network, and whole-brain levels. The relationship between IDFC and the severity of clinical symptoms of ASD for ASD subtypes was also analyzed using a support vector regression model. RESULTS: Two ASD subtypes were identified based on the IDFC patterns. Compared with the TC group, the ASD subtype 1 group exhibited a hypoconnectivity pattern and the ASD subtype 2 group exhibited a hyperconnectivity pattern. IDFC for ASD subtype 1 and subtype 2 was found to predict the severity of social communication impairments and the severity of restricted and repetitive behaviors in ASD, respectively. LIMITATIONS: Only male children were selected for this study, which limits the ability to study the effects of gender and development on ASD heterogeneity. CONCLUSIONS: These results suggest the existence of subtypes with different FC patterns in ASD and provide insight into the complex pathophysiological mechanism of clinical manifestations of ASD. En ligne : http://dx.doi.org/10.1186/s13229-022-00535-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=491

Sex heterogeneity of dynamic brain activity and functional connectivity in autism spectrum disorder / Qi DONG ; Le GAO ; Zaifa XUE ; Xiaoxia NIU ; Rongjuan ZHOU ; Xiaonan GUO in Autism Research, 17-9 (September 2024)  

Public ISBD [article]  inAutism Research > 17-9 (September 2024) . - p.1796-1809 Titre : Sex heterogeneity of dynamic brain activity and functional connectivity in autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Qi DONG, Auteur ; Le GAO, Auteur ; Zaifa XUE, Auteur ; Xiaoxia NIU, Auteur ; Rongjuan ZHOU, Auteur ; Xiaonan GUO, Auteur Article en page(s) : p.1796-1809 Langues : Anglais (eng) Mots-clés : autism spectrum disorder  dynamic amplitude of low-frequency fluctuation  dynamic functional connectivity  resting-state functional magnetic resonance imaging  sex heterogeneity Index. décimale : PER Périodiques Résumé : Abstract Sex heterogeneity has been frequently reported in autism spectrum disorders (ASD) and has been linked to static differences in brain function. However, given the complexity of ASD and diagnosis-by-sex interactions, dynamic characteristics of brain activity and functional connectivity may provide important information for distinguishing ASD phenotypes between females and males. The aim of this study was to explore sex heterogeneity of functional networks in the ASD brain from a dynamic perspective. Resting-state functional magnetic resonance imaging data from the Autism Brain Imaging Data Exchange database were analyzed in 128 ASD subjects (64 males/64 females) and 128 typically developing control (TC) subjects (64 males/64 females). A sliding-window approach was adopted for the estimation of dynamic amplitude of low-frequency fluctuation (dALFF) and dynamic functional connectivity (dFC) to characterize time-varying brain activity and functional connectivity respectively. We then examined the sex-related changes in ASD using two-way analysis of variance. Significant diagnosis-by-sex interaction effects were identified in the left anterior cingulate cortex/medial prefrontal cortex (ACC/mPFC) and left precuneus in the dALFF analysis. Furthermore, there were significant diagnosis-by-sex interaction effects of dFC variance between the left ACC/mPFC and right ACC, left postcentral gyrus, left precuneus, right middle temporal gyrus and left inferior frontal gyrus, triangular part. These findings reveal the sex heterogeneity in brain activity and functional connectivity in ASD from a dynamic perspective, and provide new evidence for further exploring sex heterogeneity in ASD. En ligne : https://doi.org/10.1002/aur.3227 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=535 [article] Sex heterogeneity of dynamic brain activity and functional connectivity in autism spectrum disorder [Texte imprimé et/ou numérique] / Qi DONG, Auteur ; Le GAO, Auteur ; Zaifa XUE, Auteur ; Xiaoxia NIU, Auteur ; Rongjuan ZHOU, Auteur ; Xiaonan GUO, Auteur . - p.1796-1809. Langues : Anglais (eng) in Autism Research > 17-9 (September 2024) . - p.1796-1809 Mots-clés : autism spectrum disorder  dynamic amplitude of low-frequency fluctuation  dynamic functional connectivity  resting-state functional magnetic resonance imaging  sex heterogeneity Index. décimale : PER Périodiques Résumé : Abstract Sex heterogeneity has been frequently reported in autism spectrum disorders (ASD) and has been linked to static differences in brain function. However, given the complexity of ASD and diagnosis-by-sex interactions, dynamic characteristics of brain activity and functional connectivity may provide important information for distinguishing ASD phenotypes between females and males. The aim of this study was to explore sex heterogeneity of functional networks in the ASD brain from a dynamic perspective. Resting-state functional magnetic resonance imaging data from the Autism Brain Imaging Data Exchange database were analyzed in 128 ASD subjects (64 males/64 females) and 128 typically developing control (TC) subjects (64 males/64 females). A sliding-window approach was adopted for the estimation of dynamic amplitude of low-frequency fluctuation (dALFF) and dynamic functional connectivity (dFC) to characterize time-varying brain activity and functional connectivity respectively. We then examined the sex-related changes in ASD using two-way analysis of variance. Significant diagnosis-by-sex interaction effects were identified in the left anterior cingulate cortex/medial prefrontal cortex (ACC/mPFC) and left precuneus in the dALFF analysis. Furthermore, there were significant diagnosis-by-sex interaction effects of dFC variance between the left ACC/mPFC and right ACC, left postcentral gyrus, left precuneus, right middle temporal gyrus and left inferior frontal gyrus, triangular part. These findings reveal the sex heterogeneity in brain activity and functional connectivity in ASD from a dynamic perspective, and provide new evidence for further exploring sex heterogeneity in ASD. En ligne : https://doi.org/10.1002/aur.3227 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=535

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