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- W4361298408 abstract "Craving is a central construct in the study of motivation and human behavior and is also a clinical symptom of substance and non-substance-related addictive disorders. Thus, craving represents a target for transdiagnostic modeling.The authors applied connectome-based predictive modeling (CPM) to functional connectivity data in a large (N=274) transdiagnostic sample of individuals with and without substance use-related conditions, to predict self-reported craving. Functional connectomes derived from three guided imagery conditions of personalized appetitive, stress, and neutral-relaxing experiences were used to predict craving rated before and after each imagery condition. The generalizability of the craving network was tested in an independent sample using functional connectomes derived from a cue-induced craving task collected before and after fasting to predict craving rated during fasting.CPM successfully predicted craving, thereby identifying a transdiagnostic craving network. Anatomical localization of model contribution suggested that the strongest predictors of craving were regions of the salience, subcortical, and default mode networks. As external validation, in an independent sample, the craving network predicted food craving during fasting using data from a cue-induced craving task.These data provide a transdiagnostic perspective to a key phenomenological feature of addictive disorders-craving-and identify a common craving network across individuals with and without substance use-related disorders, thereby suggesting a neural signature for craving or urge for motivated behaviors." @default.
- W4361298408 created "2023-03-31" @default.
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- W4361298408 date "2023-06-01" @default.
- W4361298408 modified "2023-10-06" @default.
- W4361298408 title "Transdiagnostic Connectome-Based Prediction of Craving" @default.
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- W4361298408 doi "https://doi.org/10.1176/appi.ajp.21121207" @default.
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