用于预测抑郁和自杀念头的 Stroop 任务中皮肤电导反应的点过程模型
摘要
准确识别精神健康生物标志物可以实现更早的检测和客观评估心理健康的受损。在本研究中，我们分析在情感 Stroop 任务期间记录的皮肤电导活动，以捕捉与抑郁和自杀念头相关的交感神经活动动态。我们将皮肤电导反应的时机建模为一个点过程，其条件强度受到任务基变量的调制，包括刺激价值、反应时间和响应准确性。 resulting subject-specific parameter vector serves as input to a machine learning classifier for distinguishing individuals with and without depression. Our results show that the model parameters encode meaningful physiological differences associated with depressive symptomatology and yield superior classification performance compared to conventional feature extraction methods.这些结果表明，模型参数编码了与抑郁症状相关的有意义的生理差异，并在分类性能上优于常规特征提取方法。
引用
@article{arxiv.2510.00422,
title = {A Point Process Model of Skin Conductance Responses in a Stroop Task for Predicting Depression and Suicidal Ideation},
author = {Kleanthis Avramidis and Myzelle Hughes and Idan A Blank and Dani Byrd and Assal Habibi and Takfarinas Medani and Richard M Leahy and Shrikanth Narayanan},
journal= {arXiv preprint arXiv:2510.00422},
year = {2025}
}
备注
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