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 […]
The major goal of this study was to probe the biology of the frontoparietal control network, a key brain network engaged in higher cognition and disrupted in chronic in psychosis by linking genetics, neuroimaging and clinical variables in individuals at clinical and genetic high risk for psychosis.
In collaboration with Kerry Ressler and Milissa Kaufman, the major goals of this study were to characterize brain system abnormalities present in patients with dissociative symptoms and diagnoses of either post-traumatic stress disorder or dissociative identity disorder.
The major goals of this study were to characterize the state-dependent nature of brain abnormalities in individuals with schizophrenia and bipolar disorder using functional imaging, and to define biological biomarkers of clinical state, trait, and compensation.
The major goals of this study were to use eye-tracking, genetics and functional MRI to study psychomotor symptoms in schizophrenia
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 […]
Eric received both his BS in Psychobiology and MD from UCLA. His psychiatry residency and research training were respectively at Yale University School of Medicine and Yale’s Neuroscience Research Training Program. His work has been in applied machine learning with a focus on applying natural language processing to patient interviews for diagnostic support, clinical risk […]
Michaela is a year 4 PhD student in the Harvard Program in Neuroscience, and previously received an M.Eng and B.S. in Electrical Engineering and Computer Science from MIT. She is investigating machine learning techniques to predict behavior from wrist actigraphy, in particular detecting rituals in OCD. She also works on software development for data cleaning […]
Dr. Holstein is a postdoc at the Neurogenomics and Translational Bioinformatics Laboratory (NG-TBL) at McLean Hospital since January 2023. He is interested in the extraction of features from actigraphy data and using psychometrics and biomarkers to predict treatment responses in diverse psychiatric populations.
