一种计算认知神经科学方法来表征自闭症中的个体差异:特殊问题的介绍
Wenda Liu1,2, Agnieszka Pluta3, Caroline J Charpentier4,5,6
1Department of Psychological and Brain Sciences, George Washington University, Washington, DC, USA.
Personality neuroscience
|April 29, 2025
概括
传统的研究忽视了自闭症谱系障碍 (ASD) 中的个体差异. 使用大数据的新认知计算神经科学方法,为ASD亚型和个性化干预提供了细微的理解.
科学领域:
- 认知计算神经科学 认知计算神经科学
- 神经精神疾病 神经精神疾病
- 自闭症谱系障碍 (ASD) 研究研究
背景情况:
- 传统的心理学研究往往将学科间的变化视为噪音,限制了对神经精神障碍 (ASD) 等神经精神障碍异质性的理解.
- 专注于平均值而不是个人差异,阻碍了对自闭症谱系障碍的表征的进展.
- 自闭症谱系障碍的大量异质性需要超越传统统计方法的新型研究方法.
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