The unmet timely diagnosis requirements, that take place years after substantial neural loss
and neuroperturbations in neuropsychiatric disorders, affirm the dire need for biomarkers …

Background There is a pressing need to create resources to promote mental health literacy
among young people. Digital media is one of the methods that can be used to successfully …

The treatment of mood disorders, which can become a lifelong process, varies widely in
efficacy between individuals. Most options to monitor mood rely on subjective self-reports …

We examine the feasibility of using accelerometer data exclusively collected during typing
on a custom smartphone keyboard to study whether typing dynamics are associated with …

Schizophrenia and bipolar disorder are associated with cognitive deficits that contribute
significantly to disability. However, traditional in-lab cognitive assessments are time …

Background Passive sensing through smartphone keyboard data can be used to identify
and monitor symptoms of mood disorders with low participant burden. Behavioral …

Smartphones offer unique opportunities to trace the convoluted behavioral patterns
accompanying healthy aging. Here we captured smartphone touchscreen interactions from …

It has been shown that human behavior, observed as a time-series of physical activity
intensity, exhibits a temporal fractal nature (TFN) characterized by the pattern of alternating …

Background Mental disorders are prevalent during adolescence. Among the digital
phenotypes currently being developed to monitor mental health symptoms, typing behavior …

Digital phenotyping has been used in substance use disorder (SUD) research to predict
substance consumption and monitor relevant symptoms. While various digital sensors have …