脑电图
神经科学
心理学
面子(社会学概念)
语音识别
面部识别系统
模式识别(心理学)
计算机科学
认知心理学
人工智能
沟通
社会科学
社会学
作者
Baodan Chen,Lin Jiang,Gongxuan Lü,Yuqin Li,Shu Zhang,Xinyue Huang,Peng Xu,Fali Li,Dezhong Yao
出处
期刊:Cerebral Cortex
[Oxford University Press]
日期:2023-09-25
卷期号:33 (22): 11170-11180
标识
DOI:10.1093/cercor/bhad355
摘要
Abstract Although the electrophysiological event-related potential in face processing (e.g. N170) is widely accepted as a face-sensitivity biomarker that is deficient in children with autism spectrum disorders, the time-varying brain networks during face recognition are still awaiting further investigation. To explore the social deficits in autism spectrum disorder, especially the time-varying brain networks during face recognition, the current study analyzed the N170, cortical activity, and time-varying networks under 3 tasks (face-upright, face-inverted, and house-upright) in autism spectrum disorder and typically developing children. The results revealed a smaller N170 amplitude in autism spectrum disorder compared with typically developing, along with decreased cortical activity mainly in occipitotemporal areas. Concerning the time-varying networks, the atypically stronger information flow and brain network connections across frontal, parietal, and temporal regions in autism spectrum disorder were reported, which reveals greater effort was exerted by autism spectrum disorder to obtain comparable performance to the typically developing children, although the amplitude of N170 was still smaller than that of the typically developing children. Different brain activation states and interaction patterns of brain regions during face processing were discovered between autism spectrum disorder and typically developing. These findings shed light on the face-processing mechanisms in children with autism spectrum disorder and provide new insight for understanding the social dysfunction of autism spectrum disorder.
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