Unobtrusive Monitoring of Affective Symptoms and Cognition using Keyboard Dynamics

使用键盘动力学对情感症状和认知进行不引人注目的监测

• 批准号: 10115131
• 负责人: Olusola A. Ajilore
• 金额: $ 57.94万
• 依托单位: UNIVERSITY OF ILLINOIS AT CHICAGO
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-03-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10115131
• 关键词: Address; Affective Symptoms; Apple; Attention; Biological Markers; Bipolar Disorder; Brain; Cellular Phone; Clinical; Clinical assessments; Cognition; Cognitive; Collection; Consumption; Custom; Data; Devices; Diffusion; Disease; Disease remission; Dysthymic Disorder; Ecological momentary assessment; Environment; Financial cost; Functional Imaging; Health Care Costs; Image; Impaired cognition; Impairment; Improve Access; Individual; Link; Literature; Manic; Measures; Mediating; Methods; Monitor; Mood Disorders; Moods; Motor; Neuropsychological Tests; Nodal; Outcome; Participant; Patients; Pilot Projects; Property; Recurrence; Research; Rest; Risk Factors; Sampling; Secure; Structure; Symptoms; Tablets; Technology; Time; Unipolar Depression; United States; associated symptom; base; clinically relevant; cognitive function; computer human interaction; cost effective; depressive symptoms; evidence base; handheld mobile device; interest; kinematics; mood symptom; multimodality; network dysfunction; neuroimaging; novel; processing speed; prospective; screening; treatment response; virtual; white matter

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.

项目摘要 心境障碍背景下的认知功能障碍与较差的治疗反应有关 并且是缓解后复发的关键危险因素。因此，准确、客观地评估认知 在情绪障碍患者中的功能是最重要的临床用途。这项研究将使用一本小说 智能手机技术（“BiAffect”），使用打字动力学和电机运动学， 被动地监测患有情绪障碍的跨诊断样本的认知功能， （单相抑郁、I/II型双相情感障碍、心境恶劣）。BiAffect的核心技术是一种定制的 智能手机虚拟键盘，取代本地默认键盘，允许收集实时数据 具有真实的和潜在的临床相关性，而个体在其自然的 环境BiAffect将用于样本中，以预测1）与以下相关的改变的大脑网络特性： 心境障碍中的认知功能障碍和2）临床心境症状的前瞻性变化， 跨诊断样本的参与者与情绪障碍。