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Abstract #0271

A Rapid Whole-Brain Classifier for Real-Time Functional MRI Feedback

Jeremy F. Magland1, Ze Wang2, Daniel Willard2, Anna Rose Childress2,3

1Department of Radiology, University of Pennsylvania Medical Center, Philadelphia, PA, United States; 2Department of Psychiatry, University of Pennsylvania Medical Center, Philadelphia, PA, United States; 3VA VISN 4 MIRECC, Philadelphia, PA, United States


Recent studies demonstrate that functional MRI subjects can learn to control activity in localized areas of the brain through the use of real-time fMRI feedback. Potential implications of this technology include a variety of therapies, such as pain management for patients suffering from chronic pain, and craving suppression in individuals with addictions. Whereas much is known about which specific brain regions to target in the case of pain management, less is known about which regions impact craving in addicted individuals. To address this challenge, we have implemented a real-time feedback system based on whole-brain classification.

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