Tao Zhanbo, Sun Ningxia, Yuan Zhen, Chen Zeyuan, Liu Jiakang, Wang Chen, Li Shuwu, Ma Xiaowen, Ji Bin, Li Kai
Police Sports Department, Zhejiang Police College, Hangzhou 310053, China.
Joint Laboratory of Police Health Smart Surveillance, Zhejiang Police College, Hangzhou 310053, China.
Brain Sci. 2023 Oct 5;13(10):1415. doi: 10.3390/brainsci13101415.
Depression is a prevalent mental disorder, with young people being particularly vulnerable to it. Therefore, we propose a new intelligent and rapid screening method for depression risk in young people based on eye tracking technology. We hypothesized that the "emotional perception of eye movement" could characterize defects in emotional perception, recognition, processing, and regulation in young people at high risk for depression. Based on this hypothesis, we designed the "eye movement emotional perception evaluation paradigm" and extracted digital biomarkers that could objectively and accurately evaluate "facial feature perception" and "facial emotional perception" characteristics of young people at high risk of depression. Using stepwise regression analysis, we identified seven digital biomarkers that could characterize emotional perception, recognition, processing, and regulation deficiencies in young people at high risk for depression. The combined effectiveness of an early warning can reach 0.974. Our proposed technique for rapid screening has significant advantages, including high speed, high early warning efficiency, low cost, and high intelligence. This new method provides a new approach to help effectively screen high-risk individuals for depression.
抑郁症是一种普遍存在的精神障碍,年轻人尤其容易患上。因此,我们基于眼动追踪技术提出了一种针对年轻人抑郁症风险的新型智能快速筛查方法。我们假设“眼动的情绪感知”可以表征抑郁症高风险年轻人在情绪感知、识别、处理和调节方面的缺陷。基于这一假设,我们设计了“眼动情绪感知评估范式”,并提取了能够客观准确评估抑郁症高风险年轻人“面部特征感知”和“面部情绪感知”特征的数字生物标志物。通过逐步回归分析,我们确定了七个能够表征抑郁症高风险年轻人情绪感知、识别、处理和调节缺陷的数字生物标志物。早期预警的综合有效性可达0.974。我们提出的快速筛查技术具有显著优势,包括速度快、早期预警效率高、成本低和智能化程度高。这种新方法为有效筛查抑郁症高风险个体提供了一种新途径。