The relationships between the topological properties of the whole-brain white matter network and the severity of autism spectrum disorder: A study from monozygotic twins. (15th June 2021)

• Record Type: Journal Article
• Authors: Li, Chunyan; Li, Yun; Fu, Linyan; Wang, Yue; Cheng, Xin; Cui, Xiwen; Jiang, Jiying; Xiao, Ting; Ke, Xiaoyan; Fang, Hui
• Is Part Of: Neuroscience. Volume 465(2021)
• Page Start: 60
• Page End: 70
• Publication Date: 2021-06-15
• Subjects: ADI-R Autism Diagnostic Interview-Revised -- ASD autism spectrum disorder -- DTI diffusion tensor imaging -- Eg global efficiency -- Lp path length -- MZCo-ASD monozygotic twins with ASD -- SFGdor dorsal superior frontal gyrus -- TD typical development; monozygotic concordant twins -- autism spectrum disorder -- brain structural networks -- topological properties -- hubs; Neurochemistry -- Periodicals; Neurophysiology -- Periodicals; Neurology -- Periodicals; Neurochimie -- Périodiques; Neurophysiologie -- Périodiques; Neurochemistry; Neurophysiology; Electronic journals; Periodicals; Electronic journals; 612.8
• DOI: 10.1016/j.neuroscience.2021.04.003
• Languages: English
• ISSNs: 0306-4522

Abstract

Highlights: Monozygotic ASD showed an abnormal topological properties of white matter network. Monozygotic ASD had unique hubs distribution. Global properties were associated with repetitive behavior. Nodal efficiency of hubs was correlated with core symptoms of ASD. Twin difference of network topological properties related to autism symptoms. Abstract: Twins provide a valuable perspective for exploring the pathological mechanism of autism spectrum disorder (ASD). We aim to analyze differences in the topological properties of the white matter (WM) network between monozygotic twins with ASD (MZCo-ASD) and children with typical development (TD). We enrolled 67 subjects aged 2–9 years. Twenty-three pairs of MZCo-ASD and 21 singleton children with TD completed clinical assessments and diffusion tensor imaging (DTI). Graph theory was used to compare the topological properties of the WM network between the two groups, and analyzed their correlations with the severity of clinical symptoms. We found that the global efficiency (Eg) of MZCo-ASD is weaker than that of TD children, while the shortest path length (Lp) of MZCo-ASD is longer than that of TD children, and MZCo-ASD have three unique hubs (the bilateral dorsolateral superior frontal gyrus and right insula). Eg and Lp were both correlated with the repetitive behavior scores of the Autism Diagnostic Interview-Revised (ADI-R) in the MZCo-ASD group, and the nodal efficiency of the dorsal superior frontal gyrus (SFGdor) was correlated with the ADI-R scores of repetitive behaviors. Left SFGdor nodal efficiency was correlated with Repetitive Behavior and Communication, two core symptoms of autism. The results implicated that MZCo-ASD had atypical brain structural network attributes and node distributions. Using MZCo-ASD, we found that the WM topological properties that correlate with the severity of ASD core symptoms were Eg, Lp, and the nodal efficiency of the SFGdor.