DPdash
Deep phenotyping dashboard: DPdash is a Deep/Digital Phenotyping Dashboard designed to manage and visualize multiple data streams coming in continuously over extended periods of time in individuals.
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Actigraphy
Lochness
Lochness: Lochness provides a single command line tool (daemon) to periodically poll and download data from various web services into a local directory. Out of the box there is support for pulling data from a multitude of data sources including Beiwe, XNAT, REDCap, Dropbox, external hard drives, and more.
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Circuit dynamics underlying longitudinal fluctuations in mood and cognition in bipolar patients
Research on affective disorders, such as bipolar disorder, and on psychotic disorders is hampered by a lack of basic understanding of the course of dynamic circuit properties that might underlie fluctuations in mood and cognition.Bipolar and psychotic disorders at its core are unstable clinical conditions: at its extremes, it can result in periods of profound changes in mood and cognition (i.e., mania, major depression, and psychosis). And yet, remarkably little has been done to understand the basic mechanisms underlying the fluctuating course common to these individuals. We hope to better understand and characterize the natural course of changes in mood and cognition and associated environmental variables in individuals with severe affective and psychotic disorders using mobile behavioral technology. We believe that this will further enable advances in our understanding of how these disorders develop, paving the way for the development and evaluation of new treatment strategies.
Combined Cortical and Subcortical Recording and Stimulation as a Circuit-Oriented Treatment for Obsessive-Compulsive Disorder
The goal of this supplemental project was to capture temporally dense behavioral recordings using smartphones, wearable devices, and audiovisual recordings from individuals with OCD receiving DBS and being studied using continuous intracranial recordings (using the MedTronic PC+S device) and clinical assessment as part of the parent BRAIN Initiative grant.
Intensive Longitudinal Assessment of College Transition and Psychiatric Illness
Intensive Longitudinal Assessment of College Transition and Psychiatric Illness Supports an Energy Allostatic Model of Depression and Sleep-Wake Dynamics is a publication written by members of the FNIBI lab.
Background
The transition to adulthood and periods of depression both impact sleep-wake behavior transitions. Thus, while sleep-wake behavior is broadly homeostatic the system has buffering capacity to recover from deficits under adaptive conditions. Under unexpected risk landscapes or in response to chronic stressors, individuals may adapt sleep-wake behavior patterns that are locally favorable, but fail to meet broader homeostatic requirements.
Methods
To study sleep-wake behavior dynamics, we followed college undergraduates and individuals with depression using intensive, longitudinal, within-person designs that combined daily self-assessed mood (via smartphone survey) and wrist-based accelerometry (GENEActiv) to estimate continuous activity. Minute-level activity summaries derived from raw movement data were used to model latent “energy” availability, based on a simple capacitance model.
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Intensive Real-Time Computational Phenotyping in Individuals with Borderline Personality Disorder
The scientific motivation for longitudinal study of individuals with mental illness has increasingly become an imperative, if we are to translate biological insights into discoveries that benefit individual patients. For studies intended to reveal differences between patients and healthy individuals at a group level, characterizing patients during periods of profound changes in mental status is a sensible approach, since it maximizes biological signal while minimizing the need to keep track of patients over time.
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