自闭症
偏侧性
自闭症谱系障碍
大脑不对称
海马旁回
心理学
中央前回
扣带回前部
典型地发展
听力学
发展心理学
神经科学
脑功能偏侧化
磁共振成像
颞叶
认知
医学
癫痫
放射科
作者
Miao Cao,Shujie Geng,Yuan Dai,Edmund T. Rolls,Yuqi Liu,Yue Zhang,Linhong Deng,Zilin Chen,Jianfeng Feng,Fēi Li
出处
期刊:Research Square - Research Square
日期:2024-01-15
标识
DOI:10.21203/rs.3.rs-3762282/v1
摘要
Abstract To understand the neural mechanisms of autism spectrum disorder (ASD) and developmental delay/intellectual disability (DD/ID) that can be associated with ASD, it is important to include brain, behavioural and also genetic measures and to investigate individuals at an early age, but such research is still lacking. Here, using structural MRI of 1030 children under 8 years old, we employed developmental normative models to investigate the atypical development of gray matter volume (GMV) asymmetry in individuals with ASD without DD/ID, ASD with DD/ID, and individuals with only DD/ID, and their associations with behavioural and clinical measures and transcription profiles. By computing the individual deviations from typical controls, we found increased right- vs left laterality in ASD children in the inferior parietal cortex and precentral cortex, and also higher variability in temporal pole asymmetry. In addition, ASD with DD/ID children had some cortical regions (e.g. the isthmus cingulate) with leftward asymmetry; ASD without DD/ID children had some cortical regions (e.g. the parahippocampal gyrus) with higher variability in asymmetry; and children with DD/ID without ASD showed no significant differences in asymmetry. The GMV laterality of ASD without DD/ID children was associated with ASD symptoms, whereas the laterality of ASD with DD/ID children was associated with both ASD symptoms and verbal IQ. Last, the GMV laterality of all three groups was significantly associated with shared and unique gene expression profiles. Our findings provide evidence for rightward GMV asymmetry of some cortical regions in young children (1–7 years) in a large sample (1030 cases), show that these asymmetries are related to ASD symptoms, and identify genes that are significantly associated with these differences.
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