Atypical Developmental Patterns of Sensorimotor-Related Networks in Autism Spectrum Disorder: A BrainAGE Study Based on Resting-State fMRI / Chunying LU ; Min LI ; Bowen LI ; Xing SHANG ; Guifen JIAN ; Qianyue ZHANG ; Xue CHEN ; Xuan CAO ; Bifang HE ; Jia WANG ; Heng LIU ; Heng CHEN in Autism Research, 18-4 (April 2025)  

Public ISBD [article]  inAutism Research > 18-4 (April 2025) . - p.765-773 Titre : Atypical Developmental Patterns of Sensorimotor-Related Networks in Autism Spectrum Disorder: A BrainAGE Study Based on Resting-State fMRI Type de document : Texte imprimé et/ou numérique Auteurs : Chunying LU, Auteur ; Min LI, Auteur ; Bowen LI, Auteur ; Xing SHANG, Auteur ; Guifen JIAN, Auteur ; Qianyue ZHANG, Auteur ; Xue CHEN, Auteur ; Xuan CAO, Auteur ; Bifang HE, Auteur ; Jia WANG, Auteur ; Heng LIU, Auteur ; Heng CHEN, Auteur Article en page(s) : p.765-773 Langues : Anglais (eng) Mots-clés : amplitude of low-frequency fluctuation  autism spectrum disorder  BrainAGE  resting-state functional magnetic resonance imaging Index. décimale : PER Périodiques Résumé : ABSTRACT Autism spectrum disorder (ASD) is a type of neurodevelopmental disorder characterized by atypical brain development. Previous whole-brain BrainAGE studies have unveiled the presence of accelerated or delayed brain function developmental patterns in individuals with ASD. However, it remains unclear whether these patterns manifest at a global level throughout the entire brain or are specific to certain functional sub-networks. The study included resting-state functional magnetic resonance imaging (fMRI) data from 127 individuals with ASD and 135 healthy controls (aged between 5 and 40?years). ALFF maps were measured for each participant. Then, sub-network-level BrainAGE analyses were conducted across 10 sub-networks using the Individual-weighted Multilayer Perceptron Network (ILWMLP) regression method. The BrainAGE analyses revealed atypical developmental trajectories in sensorimotor-related sub-networks, encompassing auditory, motor, and sensorimotor sub-networks. In individuals with ASD, delayed brain function development was observed in the auditory and sensorimotor networks, with a more pronounced delay observed in older individuals. Conversely, the motor network exhibited accelerated development in younger individuals but delayed development in older individuals. Our findings unveiled aberrant developmental patterns in sensorimotor-related sub-networks among individuals with ASD, exhibiting distinct atypical profiles across different sub-networks. These results might contribute to a deeper understanding of the deviant brain development observed in ASD. En ligne : https://doi.org/10.1002/aur.70008 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=554 [article] Atypical Developmental Patterns of Sensorimotor-Related Networks in Autism Spectrum Disorder: A BrainAGE Study Based on Resting-State fMRI [Texte imprimé et/ou numérique] / Chunying LU, Auteur ; Min LI, Auteur ; Bowen LI, Auteur ; Xing SHANG, Auteur ; Guifen JIAN, Auteur ; Qianyue ZHANG, Auteur ; Xue CHEN, Auteur ; Xuan CAO, Auteur ; Bifang HE, Auteur ; Jia WANG, Auteur ; Heng LIU, Auteur ; Heng CHEN, Auteur . - p.765-773. Langues : Anglais (eng) in Autism Research > 18-4 (April 2025) . - p.765-773 Mots-clés : amplitude of low-frequency fluctuation  autism spectrum disorder  BrainAGE  resting-state functional magnetic resonance imaging Index. décimale : PER Périodiques Résumé : ABSTRACT Autism spectrum disorder (ASD) is a type of neurodevelopmental disorder characterized by atypical brain development. Previous whole-brain BrainAGE studies have unveiled the presence of accelerated or delayed brain function developmental patterns in individuals with ASD. However, it remains unclear whether these patterns manifest at a global level throughout the entire brain or are specific to certain functional sub-networks. The study included resting-state functional magnetic resonance imaging (fMRI) data from 127 individuals with ASD and 135 healthy controls (aged between 5 and 40?years). ALFF maps were measured for each participant. Then, sub-network-level BrainAGE analyses were conducted across 10 sub-networks using the Individual-weighted Multilayer Perceptron Network (ILWMLP) regression method. The BrainAGE analyses revealed atypical developmental trajectories in sensorimotor-related sub-networks, encompassing auditory, motor, and sensorimotor sub-networks. In individuals with ASD, delayed brain function development was observed in the auditory and sensorimotor networks, with a more pronounced delay observed in older individuals. Conversely, the motor network exhibited accelerated development in younger individuals but delayed development in older individuals. Our findings unveiled aberrant developmental patterns in sensorimotor-related sub-networks among individuals with ASD, exhibiting distinct atypical profiles across different sub-networks. These results might contribute to a deeper understanding of the deviant brain development observed in ASD. En ligne : https://doi.org/10.1002/aur.70008 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=554

Atypical Functional Covariance Connectivity Between Gray and White Matter in Children With Autism Spectrum Disorder / Heng CHEN in Autism Research, 14-3 (March 2021)  

Public ISBD [article]  inAutism Research > 14-3 (March 2021) . - p.464-472 Titre : Atypical Functional Covariance Connectivity Between Gray and White Matter in Children With Autism Spectrum Disorder Type de document : Texte imprimé et/ou numérique Auteurs : Heng CHEN, Auteur ; Jinjin LONG, Auteur ; Shanshan YANG, Auteur ; Bifang HE, Auteur Article en page(s) : p.464-472 Langues : Anglais (eng) Mots-clés : autism spectrum disorder  functional covariance connectivity  resting-state fMRI  white matter function Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) is a type of neurodevelopmental disorder with atypical gray matter (GM) and white matter (WM) functional developmental course. However, the functional co-developmental pattern between GM and WM in ASD is unclear. Here, we utilized a functional covariance connectivity method to explore the concordance pattern between GM and WM function in individuals with ASD. A multi-center resting-state fMRI dataset composed of 105 male children with ASD and 102 well-matched healthy controls (HCs) from six sites of the ABIDE dataset was utilized. GM and WM ALFF maps were calculated for each subject. Voxel by voxel functional covariance connectivity of the ALFF values across subjects was calculated between GM and WM for children with ASD and HCs. A Z-test combining FDR multi-comparison correction was then employed to determine whether the functional covariance is significantly different between the two groups. A "bundling" strategy was utilized to ensure that the GM/WM clusters showing atypical functional covariance were larger than 5 voxels. Finally, canonical correlation analysis was conducted to explore whether the atypical GM/WM functional covariance is related to ASD symptoms. Results showed atypical functional covariance connections between specific GM and WM regions, whereas the ALFF values of these regions indicated no significant difference between the two groups. Canonical correlation analysis revealed a significant relationship between the atypical functional covariance and stereotyped behaviors of ASD. The results indicated an altered functional co-developmental pattern between WM and GM in ASD. LAY SUMMARY: White matter (WM) and gray matter (GM) are two major human brain organs supporting brain function. WM and GM functions show a specific co-developmental pattern in typical developed individuals. This study showed that this GM/WM co-developmental pattern was altered in children with ASD, while this altered GM/WM co-developmental pattern was related to stereotyped behaviors. These findings may help understand the GM/WM functional development of ASD. En ligne : http://dx.doi.org/10.1002/aur.2435 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=443 [article] Atypical Functional Covariance Connectivity Between Gray and White Matter in Children With Autism Spectrum Disorder [Texte imprimé et/ou numérique] / Heng CHEN, Auteur ; Jinjin LONG, Auteur ; Shanshan YANG, Auteur ; Bifang HE, Auteur . - p.464-472. Langues : Anglais (eng) in Autism Research > 14-3 (March 2021) . - p.464-472 Mots-clés : autism spectrum disorder  functional covariance connectivity  resting-state fMRI  white matter function Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) is a type of neurodevelopmental disorder with atypical gray matter (GM) and white matter (WM) functional developmental course. However, the functional co-developmental pattern between GM and WM in ASD is unclear. Here, we utilized a functional covariance connectivity method to explore the concordance pattern between GM and WM function in individuals with ASD. A multi-center resting-state fMRI dataset composed of 105 male children with ASD and 102 well-matched healthy controls (HCs) from six sites of the ABIDE dataset was utilized. GM and WM ALFF maps were calculated for each subject. Voxel by voxel functional covariance connectivity of the ALFF values across subjects was calculated between GM and WM for children with ASD and HCs. A Z-test combining FDR multi-comparison correction was then employed to determine whether the functional covariance is significantly different between the two groups. A "bundling" strategy was utilized to ensure that the GM/WM clusters showing atypical functional covariance were larger than 5 voxels. Finally, canonical correlation analysis was conducted to explore whether the atypical GM/WM functional covariance is related to ASD symptoms. Results showed atypical functional covariance connections between specific GM and WM regions, whereas the ALFF values of these regions indicated no significant difference between the two groups. Canonical correlation analysis revealed a significant relationship between the atypical functional covariance and stereotyped behaviors of ASD. The results indicated an altered functional co-developmental pattern between WM and GM in ASD. LAY SUMMARY: White matter (WM) and gray matter (GM) are two major human brain organs supporting brain function. WM and GM functions show a specific co-developmental pattern in typical developed individuals. This study showed that this GM/WM co-developmental pattern was altered in children with ASD, while this altered GM/WM co-developmental pattern was related to stereotyped behaviors. These findings may help understand the GM/WM functional development of ASD. En ligne : http://dx.doi.org/10.1002/aur.2435 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=443

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