99164 Resting Functional Connectivity of Networks Associated with Preoccupation in Alcohol Use Disorder Predicts Time to Relapse

99164 Resting Functional Connectivity of Networks Associated with Preoccupation in Alcohol Use Disorder Predicts Time to Relapse

ABSTRACT IMPACT: Our research has the potential to impact human health by identifying a neural network that can be used to predict time to relapse in individuals with alcohol use disorder. OBJECTIVES/GOALS: Preoccupation towards alcohol use (e.g. craving, rumination, and poor executive control) is a...

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Bibliographic Details
Main Authors: Emily M. Koithan, Kai Xuan Nyoi, Timothy Hendrickson, Hannah Verdoorn, Casey Gilmore, Bryon Mueller, Matt Kushner, Kelvin Lim, Jazmin Camchong
Format: Article
Language:English
Published: Cambridge University Press 2021-03-01
Series:Journal of Clinical and Translational Science
Online Access:https://www.cambridge.org/core/product/identifier/S2059866121005082/type/journal_article

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https://www.cambridge.org/core/product/identifier/S2059866121005082/type/journal_article

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