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Faculty

Sarah W. Yip, PhD, MSc

Department of Psychiatry
Child Study Center
Yale School of Medicine
New Haven, Conn

Dustin Scheinost, PhD

Child Study Center
Department of Radiology and Biomedical Imaging
Yale School of Medicine
New Haven, Conn

Marc N. Potenza, MD, PhD

Department of Psychiatry
Child Study Center
Department of Neuroscience
Yale School of Medicine
Connecticut Mental Health Center
New Haven, Conn

Kathleen M. Carroll, PhD

Department of Psychiatry
Yale School of Medicine
New Haven, Conn

Accredited by

American Psychiatric Association

Course Description

Objective: The authors sought to identify a brain-based predictor of cocaine abstinence by using connectome-based predictive modeling (CPM), a recently developed machine learning approach. CPM is a predictive tool and a method of identifying networks that underlie specific behaviors (“neural fingerprints”).


Methods: Fifty-three individuals participated in neuroimaging protocols at the start of treatment for cocaine use disorder, and again at the end of 12 weeks of treatment. CPM with leave-one-out cross-validation was conducted to identify pretreatment networks that predicted abstinence (percent cocaine-negative urine samples during treatment). Networks were applied to posttreatment functional MRI data to assess changes over time and ability to predict abstinence during follow-up. The predictive ability of identified networks was then tested in a separate, heterogeneous sample of individuals who underwent scanning before treatment for cocaine use disorder (N=45).

Activity Details

Credit Types:CME
Credit Amount:1.00 Credits
Release Date:2019-Feb-01
Expiration Date:2021-Jan-31
Estimated Time for Completion:1 hour
Registration Required:Yes
Cost:$155-$310/yr

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