Affiliation:
1. Department of Radiology Shandong Provincial Hospital Affiliated to Shandong First Medical University Jinan China
2. Department of Radiology Central Hospital Affiliated to Shandong First Medical University Jinan China
3. Department of Neurology Guangzhou Women and Children's Medical Center China
4. Department of Radiology, The First Affiliated Hospital Nanchang University Nanchang China
Abstract
AbstractAutism spectrum disorder (ASD) has a pronounced male predominance, but the underlying neurobiological basis of this sex bias remains unclear. Gender incoherence (GI) theory suggests that ASD is more neurally androgynous than same‐sex controls. Given its central role, altered structures and functions, and sex‐dependent network differences in ASD, the triple network model, including the central executive network (CEN), default mode network (DMN), and salience network (SN), has emerged as a candidate for characterizing this sex difference. Here, we measured the sex‐related effective connectivity (EC) differences within and between these three networks in 72 children with ASD (36 females, 8–14 years) and 72 typically developing controls (TCs) (36 females, 8–14 years) from 5 sites of the Autism Brain Imaging Data Exchange repositories using a 2 × 2 analysis of covariance factorial design. We also assessed brain‐behavior relationships and the effects of age on EC. We found significant diagnosis‐by‐sex interactions on EC: females with ASD had significantly higher EC than their male counterparts within the DMN and between the SN and CEN. The interaction pattern supported the GI theory by showing that the higher EC observed in females with ASD reflected a shift towards the higher level of EC displayed in male TCs (neural masculinization), and the lower EC seen in males with ASD reflected a shift towards the lower level of EC displayed in female TCs (neural feminization). We also found significant brain‐behavior correlations and significant effects of age on EC.
Subject
Genetics (clinical),Neurology (clinical),General Neuroscience
Cited by
1 articles.
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