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Updated: May 26, 2025

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
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神经生物学上可解释的因果连接组用于预测年轻成人抑郁症:图形神经网络研究

Sunghwan Kim1, Su Hyun Bong2, Seokho Yun3

  • 1Graduate School of Medical Science and Engineering, Korea Advanced Institute for Science and Technology (KAIST), Daejeon, Republic of Korea; Deparment of Psychiatry, Yeouido St. Mary's Hospital, College of Medicine, The Cathlic University of Korea, Seoul, Republic of Korea.

Journal of affective disorders
|February 23, 2025
PubMed
概括

分析因果连接体的图形神经网络 (GNN) 显示出预测抑郁症的前景,表现优于功能连接体. 这些发现提供了神经生物学见解和精确精神病学在抑郁症诊断和治疗中的潜力.

关键词:
原因连接组是因果连接组.可以解释的模型.图表神经网络的神经网络大型抑郁症主要是抑郁症.休息状态的fMRI.年轻人的抑郁症 年轻人的抑郁症

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