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Abstract:
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Despite advances in neuroscience, our clinical progress in treating brain illnesses has been slow. We have struggled to translate these discoveries into insights of psychopathology that improve functional outcomes. We have previously demonstrated the feasibility of creating digital biomarkers that predict laboratory assessments of mood and cognition using passively acquired data from the daily use of a smartphone. In the real-world, brain function is affected by both illness and the environment, and performance will vary from what we measure in a laboratory setting. We present real-world temporal patterns of digital biomarkers that measure psychiatric morbidity. We further discuss how sequence classification can be used to create digital phenotypes of psychopathology from these temporal patterns.
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