Research & Publications
Dr. Anticevic trained in Clinical Psychology and Cognitive Neuroscience at Washington University in St. Louis where he trained with Drs. Deanna Barch and David Van Essen. Following graduate training, Dr. Anticevic completed his internship in Clinical Neuropsychology at Yale University. After internship, he joined the Yale University Department of Psychiatry as research faculty while concurrently serving as the Administrative Director for the Center for the Translational Neuroscience of Alcoholism. Subsequently, he was appointed as an Assistant Professor of Psychiatry and Psychology at the Yale University School of Medicine, where he directs a clinical neuroimaging laboratory focused on severe mental illness. Dr. Anticevic is a recipient of the NARSAD Young Investigator Award, the International Congress of Schizophrenia Research Young Investigator Award, the NIH Director's Early Independence Award, the NARSAD Independent Investigator Award and the Klerman Prize for Exceptional Clinical Research. He currently serves as the Director of the Division of Neurocognition, Neurocomputation, and Neurogenetics (N3) at Yale School of Medicine.
His group's research focus is centered on computational and cognitive neuroscience of mental illness. Specifically, Dr. Anticevic's group is interested in characterizing neural mechanisms involved in higher order cognitive operations, such as working memory, as well as their interaction with neural systems involved in affective processes, with the aim of understanding how these computations may go awry in the context of severe mental illness . Methodologically, his group uses the combination of task-based, resting-state, pharmacological multi-modal neuroimaging, as well as computational modeling approaches to map neural alterations that lead to poor mental health outcomes. The overarching goal of the group is to develop neurobiologically principled and computationally grounded mapping between neural and behavioral levels of analyses in people to inform personalized and rational treatment design for mental health symptoms.
Education & Training
- PhDWashington University School of Medicine (2011)
- MSWashington University School of Medicine (2007)
- Applications of functional connectivity to the study of schizophreniaChengdu, China 2013This collaborative project with Dr. Gong Qiyong focuses on using functional connectivity and other neuroimaging modalities to better understand the neurobiology of schizophrenia.
- Applications of functional connectivity to the study of 1st episode psychosis with Dr. Fei WangChina 2012This collaborative project with Dr. Fei Wang focuses on applications of functional connectivity to the study of 1st episode psychosis and individuals during more chronic phases of the illness.
- Simulation studies of global-based functional connectivity: dealing with individual variability in connectivity patternsLjubljana, Slovenia 2010Ongoing method development collaboration.
Honors & Recognition
|A.E. Bennett Research Award||Society for Biological Psychiatry||2016|
|Klerman Prize for Exceptional Clinical Research||Brain & Behavior Research Foundation||2015|
|NARSAD Independent Investigator Award||Brain and Behavior Research Foundation||2015|
|Janet Taylor Spence Award For Transformative Early Career Contributions||Association for Psychological Science (APS)||2014|
|International Congress on Schizophrenia Research - Young Investigator Award.||International Congress on Schizophrenia Research||2012|
|2012 NIH Director's Early Independence Award||NIH||2012|
|NARSAD Young Investigator Award||Brain and Behavior Research Foundation||2012|
|James Hudson Brown-Alexander B. Coxe Research Fellowship in Medical Sciences||Yale University||2011|
|Cold Spring Harbor Computational & Cognitive Neurobiology Workshop Fellowship||Cold Spring Harbor||2011|
|Yale Center for Research Computing (YCRC) Steering Committee||YCRC is jointly chaired by the Deputy Provost for Research, the YSM Deputy Dean for Academic & Scientific Affairs, and the Chief Information Officer. This committee will steer the intellectual direction of the YCRC and advise on budgetary matters. More generally, the committee will guide strategy, direction and decision making regarding the use and support of computational research technologies, and it will help set priorities for the YCRC.||2015 - Present|