
CAHBIR & CCNP Open House 2025
The Center for Advanced Human Brain Imaging Research (CAHBIR) and the Rutgers-Princeton Center for Computational Cognitive Neuro-Psychiatry (CCNP) at the BHI hosted their first open house on March 13, 2025.






CAHBIR
CAHBIR’s mission is to apply the latest brain scanning and neuromodulation methods so that researchers can push the boundaries of exploration about how the human brain functions in health and disease. Dr. David Zald was recruited by the BHI in 2020 as the inaugural director of CAHBIR and Henry Rutgers Professor of Psychiatry.
Research at the center aims to expand the integration of human brain neuroimaging with the clinical research being conducted by other centers at Rutgers to better understand the neural signatures related to neurological and psychiatric disorders. Specific ongoing projects focus on aging and dementia, Parkinson’s disease, substance use disorders, depression and schizophrenia.
An additional focus is the integration of machine learning/AI techniques to improve the ability to predict clinical characteristics based on multi-modal neuroimaging data. CAHBIR has a state-of-the-art 3 Tesla Prisma MRI. In 2024, CAHBIR added new EEG and transcranial magnetic stimulation (TMS) core facilities that can be used for both investigational and interventional human brain research studies.
CCNP
The BHI and Princeton partnered to establish the CCNP in 2015 as one of a first-of-its-kind centers dedicated to computational psychiatry. The partnership leverages the unique strengths of each institution in neuroscience, clinical science, computational modeling, and data science, creating a collaborative effort with the potential to achieve greater outcomes for our understanding of mental health and well- being. Dr. Anna Konova from Rutgers and Dr. Yael Niv from Princeton are the Co-Directors of the center.
The mission of the CCNP is to bridge the gap between basic neuroscience research and clinical psychiatry by developing explanatory and predictive models of cognitive and emotional processes in a variety of neuropsychiatric conditions. The aim is to foster collaboration between researchers, clinicians, and data scientists to push the boundaries of how mental health conditions are diagnosed, treated, and prevented.