Depression

Predicting states of elevated negative affect in adolescents from smartphone sensors: a novel personalized machine learning approach

FNIBI / Featured publications / Depression, Digital phenotyping, Ecological Momentary Assessment, Smartphone /

July 27, 2022

Adolescence is characterized by profound change, including increases in negative emotions. Approximately 84% of American adolescents own a smartphone, which can continuously and unobtrusively track variables potentially predictive of heightened negative emotions (e.g. activity levels, location, pattern of phone usage). The extent to which built-in smartphone sensors can reliably predict states of elevated negative affect in adolescents is an open question.

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McLean-1000 Project to Characterize Anhedonia Phenotypes and Biomarkers

FNIBI / Current Projects / Actigraphy, Anhedonia, Behavioral Task, Depression, EEG, Functional MRI, Neuropsychological Assessment /

April 1, 2022

In collaboration with Kerry Ressler, the goal of this project is to improve our understanding of the neurobiology and treatment of anhedonia.

Context-Adaptive Multimodal Informatics for Psychiatric Discharge Planning

FNIBI / Current Projects / Actigraphy, Audio Diary Recording, Bipolar Disorder, Current Projects, Depression, Discharge Planning, Dyadic Recording, Ecological Momentary Assessment, Electronic Health Record, Facial Recording, Inpatient, Longitudinal, Road to Recovery, Schizophrenia, Smartphone, Social Signal Processing Algorithms /

January 1, 2022

Determining when a patient is ready for discharge is an open problem, as currently 20% of those hospitalized for psychiatric illness will be hospitalized again within 30 days. To address this issue, we are working to identify behavioral biomarkers for severe mental illness in 400 inpatients hospitalized for psychosis at McLean. The Multisense project is a collaboration with Dr. with LP Morency‘s team at Carnegie Mellon University, where information is extracted from both audio and video of both clinician and patient during a series of semi-structured inpatient interviews. Multimodal analysis techniques are used both to predict clinical scale and discharge-readiness scores, as well as to visualize a summary of each interview and extract relevant interpretable features.

Neurogenetic analysis in unipolar and bipolar depression

FNIBI / Current Projects / Bipolar Disorder, Current Projects, Depression, Facial Recording, fMRI, Neurocognitive Tasks, Neuroimaging, Schizophrenia, SCID /

December 1, 2019

This is a neuroimaging study conducted in collaboration with Avram Holmes’ lab at Yale University focusing on neurogenetic factors related to unipolar and bipolar depression.

Circuit dynamics underlying longitudinal fluctuations in mood and cognition in bipolar patients

FNIBI / Current Projects / A Year in the Life, Actigraphy, Arterial Spin Labeling, Audio Diary Recording, Bipolar Disorder, Completed Projects, Depression, Dyadic Recording, Ecological Momentary Assessment, Eye-tracking, Facial Recording, Functional MRI, Neurocognitive Tasks, Neuroimaging, Schizophrenia, Smartphone, Social Signal Processing Algorithms /

January 1, 2018

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.