Unobtrusive Monitoring of Affective Symptoms and Cognition using Keyboard Dynamics

项目总结 情绪障碍背景下的认知功能障碍与较差的治疗反应有关 是缓解后复发的关键危险因素。因此，准确、客观的认知评估 情绪障碍患者的功能具有最高的临床实用价值。拟议的研究将使用一部小说 智能手机技术(BiEffect)，它使用打字动力学和运动学来不引人注目地、安全地、 被动监测情绪障碍参与者的跨诊断样本的认知功能 (单相抑郁、I/II型双相障碍、心境恶劣)。BiEffect的核心技术是定制的 取代本机默认键盘的智能手机虚拟键盘，允许收集实时数据 真正和潜在的临床相关性，而个人在自然状态下像往常一样与设备交互 环境。BiEffect将在样本中用于预测1)与以下相关的改变的大脑网络属性 心境障碍的认知功能障碍和2)临床心境症状的前瞻性变化 情绪障碍参与者的跨诊断样本。

PROJECT SUMMARY Cognitive dysfunction in the context of mood disorders has been associated with poorer treatment response and is a key risk factor for recurrence after remission. Thus, accurate, objective assessment of cognitive function in patients with mood disorders is of paramount clinical utility. The proposed study will use a novel smartphone technology (“BiAffect”) that uses typing dynamics and motor kinematics to unobtrusively, securely, and passively monitor cognitive function in a transdiagnostic sample of participants with mood disorders (unipolar depression, bipolar disorder type I/II, dysthymia). The core technology of BiAffect is a custom-built smartphone virtual keyboard that replaces the native default keyboard, allowing the collection of real-time data of real and potential clinical relevance while individuals interact with their device as usual within their natural environment. BiAffect will be used in the sample to predict 1) altered brain network properties associated with cognitive dysfunction in mood disorders and 2) prospective changes in clinical mood symptoms in a transdiagnostic sample of participants with mood disorders.