In collaboration with Elizabeth Olson, this project aims to identify the contribution of a specific neural circuit to social withdrawal during the transition to adulthood (ages 16-20) in individuals with a history of interpersonal trauma exposure. Active and passive digital phenotyping metrics will be used to assess social withdrawal over the course of a 12-month […]
Loneliness of Schizophrenia and Bipolar Disorder Patients in a Multi-Year mHealth Study is a research study recently published by members in the fNIBI lab. Background Social impairment and isolation are indicators of progression and predictors of relapse in psychiatric disorders. Little research has been done to measure these constructs using digital technologies in this […]
Objectives:This study aimed to (1) determine the feasibility of collecting behavioral data from participants hospitalized with acute psychosis and (2) begin to evaluate the clinical information that can be computationally derived from such data. Methods:Behavioral data was collected across 99 sessions from 38 participantsrecruited from an inpatient psychiatric unit. Each session started with a semi-structured interview […]
Wearable devices are now widely available to collect continuous objective behavioral data from individuals and to measure sleep. Here we introduce a pipeline to infer sleep onset, duration, and quality from raw accelerometer data and then quantify relationships between derived sleep metrics and other variables of interest.For more information:https://www.biorxiv.org/content/10.1101/2021.02.02.429455v1.fullThe pipeline released here for the deep […]
In collaboration with Joan Camprodon, the goal of this supplemental project was to capture temporally dense behavioral recordings from individuals receiving ECT and being studied using serial neuroimaging and clinical assessment as part of the parent grant, using smartphones, wearable devices, and audiovisual recordings.