Mapping brain structural laterity abnormalities and multiscale cascade in ASD and DD/ID children
Poster No:
453
Submission Type:
Abstract Submission
Authors:
Shujie Geng1, Yuan Dai2, Yuqi Liu2, Yue Zhang1, Jianfeng Feng1, Fei Li2, Miao Cao1
Institutions:
1Institute of Science and Technology for Brain inspired Intelligence,Fudan University, Shanghai, China, 2Shanghai Jiao Tong University School of Medicine, Shanghai, China
First Author:
Shujie Geng
Institute of Science and Technology for Brain inspired Intelligence,Fudan University
Shanghai, China
Institute of Science and Technology for Brain inspired Intelligence,Fudan University
Shanghai, China
Co-Author(s):
Yue Zhang
Institute of Science and Technology for Brain inspired Intelligence,Fudan University
Shanghai, China
Institute of Science and Technology for Brain inspired Intelligence,Fudan University
Shanghai, China
Jianfeng Feng
Institute of Science and Technology for Brain inspired Intelligence,Fudan University
Shanghai, China
Institute of Science and Technology for Brain inspired Intelligence,Fudan University
Shanghai, China
Miao Cao
Institute of Science and Technology for Brain inspired Intelligence,Fudan University
Shanghai, China
Institute of Science and Technology for Brain inspired Intelligence,Fudan University
Shanghai, China
Introduction:
Autism spectrum disorder (ASD) and developmental delay/intellectual disability (DD/ID) are both typical neurodevelopmental disorders with early onset and highly heritable. However, high co-occurring prevalence rate of ASD and DD/ID and overlapping symptoms prevent the effective diagnosis and treatments, making the identification of sufficient biomarkers for discrimination important. Brain asymmetry establishes early since fetal period, whose abnormality has been found associated with the core symptoms in ASD children and adults. However, the multi-scale cascade about the atypical development of brain asymmetry during early childhood of ASD and DD/ID, which might characterize the comorbidity and difference between, remains unclear.
To 1) characterize the individual brain asymmetry patterns of ASD and DD/ID at early life stage, 2) explore whether structural brain asymmetries could differentiate ASD and DD/ID from each other and 3) link them to gene expression profiles and clinical manifestations.
To 1) characterize the individual brain asymmetry patterns of ASD and DD/ID at early life stage, 2) explore whether structural brain asymmetries could differentiate ASD and DD/ID from each other and 3) link them to gene expression profiles and clinical manifestations.
Methods:
Using the sMRI data of 1030 children under 8 years old from Shanghai Autism Early Development Cohort, including 563 children diagnosed as ASD with DD/ID (3.98±1.22 years, 472 males), 212 children diagnosed as ASD without DD/ID (3.24±1.15 years, 184 males), 36 children with DD/ID only (4.42±1.4 years, 25 males) and 219 age-matched typically developing children (4.42±1.62 years, 107 males), we obtained the individual gender-specific atypical development deviations of gray matter volume (GMV) asymmetry in ASD and DD/ID based-on normative models. One-sample T test was utilized to identify significant regional GMV deviations and the summed T values of 7 networks were performed. Two unsupervised algorithms, K-means and t-SNE, were conducted to test whether ASD and DD/ID can differentiate from each other with GMV asymmetry deviations as features. The canonical correlation analysis (CCA) was done to explore the group-specific associations between GMV asymmetry deviations and clinical performance. The inter-regional similarity analysis was performed to identify the associations between GMV asymmetry deviations and genome expression data from Allen Human Brain Atlas (AHBA) dataset. The identified gene lists were functionally annotated by gene enrichment analysis.
Results:
ASD-common pattern of the GMV rightward laterality were found in inferior parietal cortex and precentral cortex (Fig.1.a). Similar structural asymmetry patterns were found among ASD and DD/ID children (Fig.1.b) and clustering algorithm cannot distinguish one group from others (Fig.1.c). The GMV laterality of ASD without DD/ID were linked to ASD symptoms whereas ASD with DD/ID linking to both ASD symptoms and verbal IQ with brain loading as shown in Fig.1. d. The GMV laterality of ASD with and without DD/ID are associated with shared and unique gene expression profiles and intellectual genes showed opposite effects (Fig.2)
Conclusions:
Our study improves understanding of ASD concurrent with DD/ID from the perspective of multiscale cascade. For ASD and DD/ID young children, globally similar and regionally subtle changed structural laterality derived from divergent gene effects and linked to diagnostic-specific behavioral deficits.
Disorders of the Nervous System:
Neurodevelopmental/ Early Life (eg. ADHD, autism) 1
Genetics:
Transcriptomics
Lifespan Development:
Early life, Adolescence, Aging 2
Keywords:
Attention Deficit Disorder
MRI
1|2Indicates the priority used for review
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