Alan Anticevic, PhD
Glenn H. Greenberg Associate Professor of Psychiatry and Associate Professor of PsychologyCards
About
Titles
Glenn H. Greenberg Associate Professor of Psychiatry and Associate Professor of Psychology
Director, Division of Neurocognition, Neurocomputation, and Neurogenetics (N3), Psychiatry
Biography
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.
Appointments
Psychiatry
Associate Professor TenurePrimary
Other Departments & Organizations
- Division of Neurocognition, Neurocomputation & Neurogenetics
- Anticevic Lab
- Center for the Translational Neuroscience of Alcohol
- Clinical Neuroscience Research Unit
- Connecticut Mental Health Center
- Interdepartmental Neuroscience Program
- MR Center
- Neural Disorders
- Neuroscience Research Training Program (NRTP)
- Neuroscience Track
- Psychiatry
- Psychology Section
- Wu Tsai Institute
- Yale Combined Program in the Biological and Biomedical Sciences (BBS)
Education & Training
- PhD
- Washington University School of Medicine (2011)
- MS
- Washington University School of Medicine (2007)
Research
Overview
Our group's research focus is centered on computational and cognitive neuroscience of mental illness. Specifically, we study at the neural system level 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, we use use a combination of tools, such as 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 combination of these tools informs a quantitative and personalized 'Computational Psychiatry' framework for development of neuro-behavioral markers that can explicitly inform treatment. 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.
Specific Research Areas
- Pharmacological Neuroimaging & Computational Modeling
- Cognition-Affective Computations in Mental Illness
- Mapping Neuro-behavioral Variation to Inform Mental Health Treatments
- Computational Informatics Architectures for Multi-modal Imaging
Medical Subject Headings (MeSH)
Academic Achievements and Community Involvement
Links & Media
News
- April 17, 2024Source: Yale News
Ketamine Produces Wide Variety of Responses in the Brain, Researchers Find
- March 05, 2024Source: Yale News
Making Associations: Yale-developed Tool Helps Personalize Psychiatric Care
- March 04, 2024Source: YaleNews
Making Associations: Yale-developed Tool Helps Personalize Psychiatric Care
- February 14, 2022
Yale Department of Psychiatry #2 in Psychiatric Research Funding