一个多模式的框架,以了解自然场景的感知细分在自闭症
Darnell K Adrian Williams1, Tridib K Biswas1, Concetta Brusco1
1Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA.
bioRxiv : the preprint server for biology
|December 25, 2025
概括
患有自闭症谱系障碍 (ASD) 的人在处理自然场景时表现出明显的视觉细分模式和神经反应. 我们的新框架揭示了自闭症谱系障碍 (ASD) 视觉探索和注意力分配与神经典型个体相比的差异.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 自闭症研究 自闭症研究
背景情况:
- 了解视觉细分是解释典型和非典型发育中的感官处理的关键.
- 自闭症谱系障碍 (ASD) 与视觉细分和整合的记录差异有关.
- 现有的研究经常使用简化的刺激,而不是反映现实世界的自然场景细分.
研究的目的:
- 为研究自然场景细分提供一种新的多式联运框架.
- 研究神经类型 (NT) 和ASD个体视觉细分的时间和空间方面.
- 为了比较NT和ASD组之间的自然场景感知过程中的行为和神经反应.
主要方法:
- 开发了一个多式模式框架,将脑电图 (EEG) 和眼睛跟踪与感知测量相结合.
- 参与者 (NT和ASD,16岁以上) 观看自然场景和纹理,做出细分决策.
- 分析行为数据 (反应时间,细分图),眼睛跟踪数据 (凝视模式) 和EEG数据 (神经活动).
主要成果:
- 与NT个体相比,ASD参与者表现出较慢和更独特的细分模式.
- 眼睛跟踪显示在ASD的早期场景观看期间更广泛的视觉探索.
- 脑电图显示了延迟和更分散的尾激活,在ASD中降低了总场功率.
结论:
- 建立的框架使得自然场景细分的可重复研究成为可能.
- 在ASD中,在视觉处理中发现了显著的行为和神经区别.
- 这项研究弥合了控制实验和神经类型和神经变异人群的现实世界感知之间的差距.
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