用新方法揭示看视频时人脸区域的因果连接变化
On The Causal Network Of Face-selective Regions In Human Brain During Movie Watching
- 用DAGMA方法发现人脸刺激会改变脑区间的因果连接数
- 实验证明人脸出现可显著增加网络中因果连接数量
- 强调皮层下区域对因果分析完整性的关键作用
理解脑功能任务（如人脸识别）中的因果交互仍具挑战。本研究采用新型因果发现方法DAGMA，分析自然电影刺激下人脑人脸选择性区域的因果结构，探索含人脸画面如何影响该网络。结果表明，刺激中人脸的存在会因果性地增加网络内识别出的连接数量；同时强调皮层下区域在满足因果充分性中的关键作用，为脑神经因果机制研究提供了新视角，推动后续神经因果性研究。
原文摘要 · Abstract (English)
Understanding the causal interactions in some brain tasks, such as face processing, remains a challenging and ambiguous process for researchers. In this study, we address this issue by employing a novel causal discovery method -Directed Acyclic Graphs via M-matrices for Acyclicity (DAGMA)- to investigate the causal structure of the brain's face-selective network and gain deeper insights into its mechanism. Using fMRI data of natural movie stimuli, we extract causal network of face-selective regions and analyze how frames containing faces influence this network. Specifically, our findings reveal that the presence of faces in the stimuli, causally affects the number of identified connections within the network. Additionally, our results highlight the crucial role of subcortical regions in satisfying causal sufficiency, emphasizing it's importance in causal studies of brain. This study provides a new perspective on understanding the causal architecture of the face-selective network of the brain, motivating further research on neural causality.
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