The Cost of Social Integration: Distinct Neural Inefficiency in Autistic Children Underlies Symptom Severity

心理学 自闭症 神经认知 手势 自闭症谱系障碍 社会认知 认知心理学 功能磁共振成像 发展心理学 典型地发展 神经生理学 凝视 社交暗示 心理理论 精神分裂症(面向对象编程) 前额叶皮质 心理化 面部表情 神经科学 功能成像 瞳孔反应 社会关系 认知 感知 社会认知 工作记忆 非语言交际 眼动 理解力 大脑活动与冥想 神经影像学 社会功能 视觉感受 瞳孔测量 功能近红外光谱 大脑定位 智商
作者
Juan Kou,Mengyuan Yang,L Y Zhang,Jiao Le,Lihui Huang,Yi Lei
出处
期刊:Autism Research [Wiley]
卷期号:19 (7): e70289-e70289
标识
DOI:10.1002/aur.70289
摘要

Autism Spectrum Disorder (ASD) is characterized by difficulties in social interaction, as individuals with ASD process social cues like gestures and facial expressions in a unique way. Despite this knowledge, the exact neurophysiological mechanisms driving these differences and their direct impact on clinical symptoms remain unclear. This study delves deeper into understanding the neurophysiological mechanisms involved in social cue integration, moving beyond mere behavioral observations. Specifically, we investigated how autistic children and typically developing (TD) peers process congruent and incongruent social signals in everyday situations. We compared 34 male autistic (2.5-6 years) versus 34 TD children via eye-tracking and functional near-infrared spectroscopy to measure gaze, pupil dilation, and frontal activation during gesture-face integration. TD children exhibited heightened attention to happy faces while maintaining equal attention to neutral faces and gestures when reward gestures were paired. The ASD group did not demonstrate an effective processing strategy. ASD children exhibited heightened pupil dilation and anterior prefrontal cortex (aPFC) activation in all conditions. Crucially, their gaze patterns and aPFC activation significantly correlated with poorer adaptive functioning and positively predicted autism severity. Autistic children go through a distinct, neurologically demanding, and inefficient process to integrate multimodal social cues. This inefficient compensatory attempt results in a metabolically costly physiological state, which is directly connected to the core challenges of ASD. The identified features provide a preliminary proof-of-concept for objective biomarkers, offering quantifiable, physiological indices of severity, thus enabling the development of targeted neurocognitive interventions.
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