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Predicting Stimulant Use Relapse using Neuroimaging Techniques

Project Principal Investigator/s:
Michael Maurer

Funding Agency:
National Institutes of Health/National Institute on Drug Abuse

Amount Awarded:
31, 156

Period of Performance:
09/2017 - 08/2019

Goals and Aims of Study

Using the world’s largest forensic database, which includes clinical and neuropsychological measures, electrophysiological measures, functional neuroimaging, and functional network connectivity measures, the primary goal of this project will be to delineate specific risk factors predictive of eventual stimulant use relapse propensity. This will be accomplished by integrating models incorporating logistic and Cox proportional-hazard regressions, and cross-validation machine learning pattern classifiers to predict stimulant use relapse one year after institutional release with an at-risk sample of adult incarcerated offenders.

How this Research Will Benefit Society