Craving Prediction From fMRI Drug Cue Reactivity in Methamphetamine Use Disorder: A Parsimonious Neurobiological Model

ABSTRACT Background Craving is a fundamental aspect of substance use disorder (SUD), traditionally assessed through subjective self‐report measures. To develop more objective assessments, we created a brain‐based marker to predict craving based on machine learning approaches using functional magneti...

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Bibliographic Details
Published in:	Brain and behavior Vol. 15; no. 10; pp. e70991 - n/a
Main Authors:	Mahdavi‐Doost, Hajar, Soleimani, Ghazaleh, Lim, Kelvin O., Ekhtiari, Hamed
Format:	Journal Article
Language:	English
Published:	United States John Wiley & Sons, Inc 01.10.2025 Wiley
Subjects:	Abstinence addiction Addictions Adult Amphetamine-Related Disorders - diagnostic imaging Amphetamine-Related Disorders - physiopathology biomarker Brain - diagnostic imaging Brain - physiopathology Brain research Cocaine Craving Craving - physiology Cues Female fMRI Humans Intervention Machine Learning Magnetic Resonance Imaging - methods Male Medical imaging Methamphetamine Middle Aged Models, Neurological Neurobiology Neuroimaging prediction Young Adult United States > US Oklahoma fMRI methamphetamine Craving addiction prediction biomarker machine learning
ISSN:	2162-3279, 2162-3279
Online Access:	Get full text
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