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= Alan Anticevic = Alan Anticevic (born c. 1981) is a Croatian cognitive neuroscientist and clinical psychologist who is currently an Assistant Professor of Psychiatry and Psychology at Yale University, where his laboratory focuses on using multi-modal neuroimaging in combination with pharmacological and computational methods to understand the neural basis of severe mental illness and has made seminal contributions to the field of Computational Psychiatry. He also Co-directs the Division of Neurocognition, Neurocomputation, and Neurogenetics (N3) at Yale. He was awarded the 2012 NIH Director's Early Independence Award awarded by the NIH Common Fund for his work on pharmacological neuroimaging and computational psychiatry. He is also the recipient of of the Gerald R. Klerman Prize for Exceptional Research by NARSAD Young Investigator, the A.E. and the Bennett Research Award given by the Society for Biological Psychiatry and was awarded the NARSAD Independent Investigator Award. He received his Ph.D in clinical neuropsychology and cognitive neuroscience from Washington University in St. Louis. He completed his clinical internship at Yale University Department of Psychiatry.

Biography
Dr. Anticevic trained in Clinical Psychology and Cognitive Neuroscience at Washington University in St. Louis where he worked with Drs. Deanna Barch and David Van Essen. Following his 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 psychiatric illness such as schizophrenia. Broadly, his research interests are centered on cognitive neuroscience of psychiatric illness, functional connectivity, as well as functional neuroimaging analysis methodology. Specifically, Dr. Anticevic is interested in characterizing brain circuits involved in cognitive operations such as working memory as well as their interaction with neural systems involved in affective processes, with the focus of understanding how these interactions may go awry in the context of severe neuropsychiatric illness (e.g. schizophrenia, bipolar disorder and substance abuse). Methodologically, his research harnesses the combination of task-based, resting-state, pharmacological functional neuroimaging, as well as computational modeling approaches to mechanistically understand neural circuit dysfunction in disorders such as schizophrenia.

Informing Pharmacological Models Psychiatric Disorders via Non-invasive Neuroimaging.
Decades of pharmacological research established that antagonism of the N-methyl-D-aspartate receptor in humans (e.g. via ketamine) reversibly and transiently induces symptoms characteristic of schizophrenia, including cognitive deficits, hallucinations, delusions and disorganization. Yet there are key gaps in knowledge in how NMDAR antagonists relate to the neural and behavioral features observed in patients. Anticevic conducted a series of neuroimaging studies that provided the initial evidence that characterized NMDAR antagonist effects on distributed neural systems and cognition and also established that NMDAR antagonist effects on prefrontal functional connectivity resemble early course, but not chronic schizophrenia, suggesting illness-specific relevance for one of the most prevalent pharmacological models in the field.

Leveraging Non-invasive Neuroimaging to Define Neurobiologically-grounded Markers of Altered Human Behavior.
There is mounting interest in leveraging non-invasive multi-modal neuroimaging to delineate neuro-markers, at the neural system or regional level, of behavioral variation in humans. Anticevic's group has made contributions to this area by establishing one of the most replicable neural system markers in relation to severe psychiatric illness such as schizophrenia and bipolar disorder. This work demonstrated that by leveraging thalamic circuits, a nexus through which most neural computations flow, there are robust information flow alterations in individuals presenting with symptoms along the schizophrenia spectrum. His group continues this line of work to establish cross-diagnostic and behavioral relevance of such markers.

Computational Psychiatry: Applying Biophysically-grounded Neural Models to Characterize and Understand Psychiatric Disease.
A central challenge in clinical neuroscience of human behavior centers on crossing levels of analyses, from genes, to cells, to neural circuits, to areas and ultimately neural systems that give rise to altered behavior. Antcevic's work has helped shape the formation of an rapidly growing new field of Computational Psychiatry , which provides a conceptual, methodological and quantitative formalism for how to 'scale' these levels in order to inform mechanism. His work, in collaboration the Murray Lab at Yale, has demonstrated the utility of leveraging neurobiologically principled computational models grounded in biophysics to understand functional neuroimaging markers in humans via pharmacological manipulations and in clinical conditions. Anticevic & Murray recently Co-Edited the 1st editor of a book titled "Computational Psychiatry: Mathematical Modeling of Mental Illness" which synthesizes the leading scholarship in the growing field of computational psychiatry. He also serves as a member of the Editorial Board for the Computational Psychiatry journal.

Awards & Honors
Anticevic has received the 2012 NARSAD Young Investigator Award and was among 14 national recipients of the 2012 NIH Director’s Early Independence Award. In 2014 he received the APS Janet Taylor Spence Award for Transformative Early Career Contributions. He was selected for a NARSAD Independent Investigator Award in 2015. In addition, he received the 2013 International Congress for Schizophrenia Research Young Investigator Award and the 2016 "Rising Star" Award - Schizophrenia International Research Society (SIRS). His work on pharmacological neuroimaging was honored by the 2015 Gerald R. Klerman Prize for Exceptional Research by NARSAD Young Investigator. He was also selected for the 2016 A.E. Bennett Research Award - Society for Biological Psychiatry.