A neuronal marker of eye contact spontaneously activated in neurotypical subjects but not in autistic spectrum disorders

IF 3.2 2区 心理学 Q1 BEHAVIORAL SCIENCES Cortex Pub Date : 2024-11-22 DOI:10.1016/j.cortex.2024.10.022
Guillaume Lio , Martina Corazzol , Roberta Fadda , Giuseppe Doneddu , Angela Sirigu
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Abstract

Attention to faces and eye contact are key behaviors for establishing social bonds in humans. In Autism Spectrum Disorders (ASD), a disturbance in neurodevelopment, impaired face processing and gaze avoidance are key clinical features for ASD diagnosis. The biological alterations underlying these impairments are not yet clearly established. Using high-density electroencephalography coupled with multi-variate pattern classification and group blind source separation methods we searched for face- and-face components-related neural signals that could best discriminate visual processing of neurotypical subjects (N = 38) from ASD participants (N = 27). We isolated a face-specific neural signal in the superior temporal sulcus peaking at 240 msec after face-stimulus onset. A machine learning algorithm applied on the extracted neural component reached 74% decoding accuracy at the same latencies, discriminating the neurotypical population from ASD subjects in whom this signal was weak. By manipulating attention on different parts of the face, we also found that the power of the evoked signal in neurotypical subjects varied depending on the region observed: it was strong when the eye region fell on the fovea to decrease on regions further away and outside the stimulus face. Such face and face-components selective neural modulations were not found in ASD, although they did show typical early face-related P100 and N170 signals. These results show that specialized cortical mechanisms for face perception show higher responses for eyes when attention is focused on gaze and that these mechanisms may be particularly affected in autism spectrum disorders.
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一个在神经正常的受试者中自发激活的眼睛接触的神经元标记,而在自闭症谱系障碍中没有
注意面部和眼神交流是人类建立社会关系的关键行为。在自闭症谱系障碍(ASD)中,神经发育障碍、面部处理障碍和凝视回避是ASD诊断的关键临床特征。这些损伤背后的生物学变化尚未明确确定。利用高密度脑电图结合多变量模式分类和组盲源分离方法,我们寻找与面部成分相关的神经信号,这些神经信号可以最好地区分神经正常受试者(N = 38)和ASD受试者(N = 27)的视觉加工。我们在颞上沟分离出一个面部特异性神经信号,在面部刺激开始后240毫秒达到峰值。将机器学习算法应用于提取的神经成分,在相同的潜伏期下,解码准确率达到74%,从而区分出神经正常人群和该信号较弱的ASD受试者。通过对面部不同部位的注意力操纵,我们还发现,在神经正常的受试者中,诱发信号的强度因观察到的区域而异:当眼睛区域落在中央凹上时,诱发信号很强,而在远离刺激面部的区域则减弱。这种面部和面部成分选择性神经调节在ASD中没有发现,尽管它们确实显示了典型的早期面部相关的P100和N170信号。这些结果表明,当注意力集中在凝视上时,面部感知的特殊皮层机制对眼睛的反应更高,这些机制可能在自闭症谱系障碍中受到特别影响。
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来源期刊
Cortex
Cortex 医学-行为科学
CiteScore
7.00
自引率
5.60%
发文量
250
审稿时长
74 days
期刊介绍: CORTEX is an international journal devoted to the study of cognition and of the relationship between the nervous system and mental processes, particularly as these are reflected in the behaviour of patients with acquired brain lesions, normal volunteers, children with typical and atypical development, and in the activation of brain regions and systems as recorded by functional neuroimaging techniques. It was founded in 1964 by Ennio De Renzi.
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