数字行为测试的潜力作为精神病的诊断辅助
Piotr Słowiński1, Alexander White2, Sian Lison3
1Translational Research Exchange @ Exeter, Living Systems Institute, Department of Mathematics and Statistics, Faculty of Environment, Science and Economy, University of Exeter, United Kingdom.
PLOS digital health
|September 15, 2023
概括
数字行为测试准确地分层了患有精神病的个体,改善了早期干预的机会. 这些使用常见设备的测试提供了精确的表型,用于个性化诊断和心理健康研究.
科学领域:
- 神经科学是一个神经科学.
- 数字健康数字健康
- 精神病学是一个精神病学.
背景情况:
- 及时干预对于患有精神病的人来说至关重要,但转介到早期精神病 (STEP) 专家团队的瓶阻碍了获取.
- 一般医生往往缺乏意识或信心来识别早期的精神病症状,导致诊断挑战.
- 目前的转诊流程难以准确地分层个人,这会影响专家团队的工作量和患者护理.
研究的目的:
- 调查数字行为测试在接受早期精神病干预和健康对照人群之间的区别方面的有效性.
- 用"镜子游戏" (MG) 和步道制作任务 (TMT) 的客观特征来评估各种分类器的性能.
- 探索数字行为测试在早期精神病中精确表型和分层的潜力.
主要方法:
- 对比了五个不同的分类器在"镜子游戏" (MG) 和步道制作任务 (TMT) 衍生的特征上的性能.
- 利用了通过常见的现成设备 (笔记本电脑,跳跃运动传感器) 进行的数字行为测试的客观,定量和可解释的特征.
- 通过使用曲线下的面积 (AUC),敏感性和特异性等指标评估分类器性能.
主要成果:
- 所有分类器都表现出强烈的歧视性表现,AUC从0.84到0.92.9不等.
- 线性分辨分类器实现了0.92的AUC,具有高灵敏度和特异性,表明出色的性能.
- 单个任务 (MG和TMT) 不足以区分患有精神病的个体中的子组 (例如,危险精神状态与第一发精神病).
结论:
- 数字行为测试的标准化电池可以准确地分层经历精神病和健康对照的个体.
- 这些测试提供了一个具有成本效益和客观的方法,用于精确的表型,可能导致更快,个性化的诊断.
- 数字行为测试可以通过促进心理病研究的同质高风险人群的识别来增强临床和研究实践.
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