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.

项目总结