Predicting cognitive functioning in mood disorders through smartphone typing dynamics.

ABSTRACT: Mood disorders (MDs) such as major depressive disorder and bipolar disorder are associated with significant functional impairments, particularly in cognition, which can adversely affect daily functioning and social interactions. This study aims to predict cognitive functioning prospectively in individuals with MDs using passive data from smartphone typing dynamics. Over a period of approximately 28 days, participants (N = 127) utilized the BiAffect keyboard, which captured typing metadata such as keystroke timestamps and accelerometer data during typing sessions, while also undergoing in-lab neuropsychological assessments twice (at least 14 days apart). Principal component analysis was applied to keyboard features, and the component scores were subsequently used in structural equati

SUBMITTER: Ning E 

PROVIDER: S-EPMC12412914 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature