Subtypes in addiction and their neurobehavioral profiles across three functional domains.


Journal

Translational psychiatry
ISSN: 2158-3188
Titre abrégé: Transl Psychiatry
Pays: United States
ID NLM: 101562664

Informations de publication

Date de publication:
18 04 2023
Historique:
received: 17 11 2022
accepted: 31 03 2023
revised: 28 03 2023
medline: 20 4 2023
pubmed: 19 4 2023
entrez: 18 04 2023
Statut: epublish

Résumé

Rates of return to use in addiction treatment remain high. We argue that the development of improved treatment options will require advanced understanding of individual heterogeneity in Substance Use Disorders (SUDs). We hypothesized that considerable individual differences exist in the three functional domains underlying addiction-approach-related behavior, executive function, and negative emotionality. We included N = 593 participants from the enhanced Nathan Kline Institute-Rockland Sample community sample (ages 18-59, 67% female) that included N = 420 Controls and N = 173 with past SUDs [54% female; N = 75 Alcohol Use Disorder (AUD) only, N = 30 Cannabis Use Disorder (CUD) only, and N = 68 Multiple SUDs]. To test our a priori hypothesis that distinct neuro-behavioral subtypes exist within individuals with past SUDs, we conducted a latent profile analysis with all available phenotypic data as input (74 subscales from 18 measures), and then characterized resting-state brain function for each discovered subtype. Three subtypes with distinct neurobehavioral profiles were recovered (p < 0.05, Cohen's D: 0.4-2.8): a "Reward type" with higher approach-related behavior (N = 69); a "Cognitive type" with lower executive function (N = 70); and a "Relief type" with high negative emotionality (N = 34). For those in the Reward type, substance use mapped onto resting-state connectivity in the Value/Reward, Ventral-Frontoparietal and Salience networks; for the Cognitive type in the Auditory, Parietal Association, Frontoparietal and Salience networks; and for the Relief type in the Parietal Association, Higher Visual and Salience networks (p

Identifiants

pubmed: 37072391
doi: 10.1038/s41398-023-02426-1
pii: 10.1038/s41398-023-02426-1
pmc: PMC10113211
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

127

Subventions

Organisme : NIDA NIH HHS
ID : T32 DA007234
Pays : United States
Organisme : NIMH NIH HHS
ID : T32 MH115886
Pays : United States

Informations de copyright

© 2023. The Author(s).

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Auteurs

Gunner Drossel (G)

Graduate Program in Neuroscience, University of Minnesota, Minneapolis, MN, USA.
Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA.

Leyla R Brucar (LR)

Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA.

Eric Rawls (E)

Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA.

Timothy J Hendrickson (TJ)

University of Minnesota Informatics Institute, University of Minnesota, Minneapolis, MN, USA.
Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.

Anna Zilverstand (A)

Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA. annaz@umn.edu.
Medical Discovery Team on Addiction, University of Minnesota, Minneapolis, MN, USA. annaz@umn.edu.

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