Connectomics of Addiction and Recovery

About this Seminar

Translation of research findings into clinical settings remains a primary challenge of modern psychiatry. Cross-validated predictive modeling (i.e., machine learning) approaches are designed to overcome limitations of traditional approaches by focusing on individual differences and generalization to novel subjects (i.e., cross-validation), thereby increasing the likelihood of replication and potential translation to novel clinical settings. Dr. Yip's talk will present recent work demonstrating the utility of one such approach, connectome-based predictive modeling, to generate accurate predictions of addiction outcomes using neuroimaging data acquired at the start of treatment. Evidence for dissociable neural substrates of abstinence from different drugs of abuse will be presented, and recommendations for future work using brain-behavior models in psychiatry will be discussed.

Additional Details

This is a free event hosted by the Fralin Biomedical Research Institute and co-sponsored by the institute's Addiction Recovery Research Center and the Center for Health Behaviors Research. The Pioneers in Biomedical Research Seminar Series, which runs annually from September to May, has featured leading biomedical researchers from throughout the country since the program began in 2012. The lectures are also open to all members of the Virginia Tech community including graduate students, undergraduates, faculty, and staff, as well as the public.

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