Connectome-Based Prediction of Cocaine Abstinence.

ABSTRACT:

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

SUBMITTER: Yip SW 

PROVIDER: S-EPMC6481181 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature