Naturalistic paradigms hold enormous potential for studying abnormal brain function. However, the development of clinical applications based on naturalistic approaches is still in its infancy. Our symposium at OHBM 2023 presented the challenges and recent advances in research directed at clinical translation of naturalistic paradigms for brain mapping.More
This is a neuroimaging study conducted at McLean Hospital which is focused on studying changes in functional brain network architecture in patients with OCD over the course of intensive, residential treatment.More
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.More
Inpatient psychiatric treatment settings provide care for individuals with a range of behavioral disturbances and psychopathology, which often manifests as profound alterations in the amount and nature of physical behavior. We aim to establish an efficient and consistent process to identify clinically significant levels of physical activity (e.g., sleep, restlessness, agitation) that could both prove useful for quantifying the overall level treatment success or failure in an individual patient, while also eventually providing real time support for clinical staff on the unit.
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.More
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.