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 structural connectivity of language networks in autism spectrum disorder: A meta-analysis of diffusion tensor imaging studies / Min LI in Autism Research, 15-9 (September 2022)  

Public ISBD [article]  inAutism Research > 15-9 (September 2022) . - p.1585-1602 Titre : Atypical structural connectivity of language networks in autism spectrum disorder: A meta-analysis of diffusion tensor imaging studies Type de document : Texte imprimé et/ou numérique Auteurs : Min LI, Auteur ; Yide WANG, Auteur ; Masaya TACHIBANA, Auteur ; Shafiur RAHMAN, Auteur ; Kuriko KAGITANI-SHIMONO, Auteur Article en page(s) : p.1585-1602 Langues : Anglais (eng) Mots-clés : Adult  Autism Spectrum Disorder/diagnostic imaging  Brain/diagnostic imaging  Child  Child Development Disorders, Pervasive/diagnosis  Diffusion Tensor Imaging  Humans  White Matter/diagnostic imaging  autism spectrum disorder  language networks  meta-analysis  white matter connectivity Index. décimale : PER Périodiques Résumé : Patients with autism spectrum disorder (ASD) often show pervasive and complex language impairments that are closely associated with aberrant structural connectivity of language networks. However, the characteristics of white matter connectivity in ASD have remained inconclusive in previous diffusion tensor imaging (DTI) studies. The current meta-analysis aimed to comprehensively elucidate the abnormality in language-related white matter connectivity in individuals with ASD. We searched PubMed, Web of Science, Scopus, and Medline databases to identify relevant studies. The standardized mean difference was calculated to measure the pooled difference in DTI metrics in each tract between the ASD and typically developing (TD) groups. The moderating effects of age, sex, language ability, and symptom severity were investigated using subgroup and meta-regression analysis. Thirty-three DTI studies involving 831 individuals with ASD and 836 TD controls were included in the meta-analysis. ASD subjects showed significantly lower fractional anisotropy or higher mean diffusivity across language-associated tracts than TD controls. These abnormalities tended to be more prominent in the left language networks than in the right. In addition, children with ASD exhibit more pronounced and pervasive disturbances in white matter connectivity than adults. These results support the under-connectivity hypothesis and demonstrate the widespread abnormal microstructure of language-related tracts in patients with ASD. Otherwise, white matter abnormalities in the autistic brain could vary depending on the developmental stage and hemisphere. LAY SUMMARY: This meta-analysis explored abnormalities in white matter connectivity in language networks of individuals with ASD. Significantly reduced white matter integrity was found in all language-associated tracts in subjects with ASD compared with TD controls. In addition, structural disturbances of language networks in the autistic brain exhibit a leftward tendency, and more prominent abnormalities are observed in younger people with ASD than in adults. En ligne : http://dx.doi.org/10.1002/aur.2789 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=483 [article] Atypical structural connectivity of language networks in autism spectrum disorder: A meta-analysis of diffusion tensor imaging studies [Texte imprimé et/ou numérique] / Min LI, Auteur ; Yide WANG, Auteur ; Masaya TACHIBANA, Auteur ; Shafiur RAHMAN, Auteur ; Kuriko KAGITANI-SHIMONO, Auteur . - p.1585-1602. Langues : Anglais (eng) in Autism Research > 15-9 (September 2022) . - p.1585-1602 Mots-clés : Adult  Autism Spectrum Disorder/diagnostic imaging  Brain/diagnostic imaging  Child  Child Development Disorders, Pervasive/diagnosis  Diffusion Tensor Imaging  Humans  White Matter/diagnostic imaging  autism spectrum disorder  language networks  meta-analysis  white matter connectivity Index. décimale : PER Périodiques Résumé : Patients with autism spectrum disorder (ASD) often show pervasive and complex language impairments that are closely associated with aberrant structural connectivity of language networks. However, the characteristics of white matter connectivity in ASD have remained inconclusive in previous diffusion tensor imaging (DTI) studies. The current meta-analysis aimed to comprehensively elucidate the abnormality in language-related white matter connectivity in individuals with ASD. We searched PubMed, Web of Science, Scopus, and Medline databases to identify relevant studies. The standardized mean difference was calculated to measure the pooled difference in DTI metrics in each tract between the ASD and typically developing (TD) groups. The moderating effects of age, sex, language ability, and symptom severity were investigated using subgroup and meta-regression analysis. Thirty-three DTI studies involving 831 individuals with ASD and 836 TD controls were included in the meta-analysis. ASD subjects showed significantly lower fractional anisotropy or higher mean diffusivity across language-associated tracts than TD controls. These abnormalities tended to be more prominent in the left language networks than in the right. In addition, children with ASD exhibit more pronounced and pervasive disturbances in white matter connectivity than adults. These results support the under-connectivity hypothesis and demonstrate the widespread abnormal microstructure of language-related tracts in patients with ASD. Otherwise, white matter abnormalities in the autistic brain could vary depending on the developmental stage and hemisphere. LAY SUMMARY: This meta-analysis explored abnormalities in white matter connectivity in language networks of individuals with ASD. Significantly reduced white matter integrity was found in all language-associated tracts in subjects with ASD compared with TD controls. In addition, structural disturbances of language networks in the autistic brain exhibit a leftward tendency, and more prominent abnormalities are observed in younger people with ASD than in adults. En ligne : http://dx.doi.org/10.1002/aur.2789 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=483

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