Valuation system connectivity is correlated with poly-drug use in young adults

Loganathan K 1 , Lv J 2 , Cropley V 3 , Zalesky A 4 , Ho ETW 5

Affiliations 

  • 1 Centre for Intelligent Signal & Imaging Research, Universiti Teknologi PETRONAS, Perak, Malaysia. Electronic address: [email protected]
  • 2 School of Biomedical Engineering & Brain and Mind Centre, The University of Sydney, Sydney, Australia; Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne & Melbourne Health, Melbourne, Australia; Department of Biomedical Engineering, University of Melbourne, Melbourne, Australia
  • 3 Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne & Melbourne Health, Melbourne, Australia
  • 4 Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne & Melbourne Health, Melbourne, Australia; Department of Biomedical Engineering, University of Melbourne, Melbourne, Australia
  • 5 Centre for Intelligent Signal & Imaging Research, Universiti Teknologi PETRONAS, Perak, Malaysia; Department of Electrical & Electronics Engineering, Universiti Teknologi PETRONAS, Perak, Malaysia
Neurosci Res, 2021 Dec;173:114-120.
PMID: 34214618 DOI: 10.1016/j.neures.2021.06.006

Abstract

Poly-drug consumption contributes to fatal overdose in more than half of all poly-drug users. Analyzing decision-making networks may give insight into the motivations behind poly-drug use. We correlated average functional connectivity of the valuation system (VS), executive control system (ECS) and valuation-control complex (VCC) in a large population sample (n = 992) with drug use behaviour. VS connectivity is correlated with sedative use, ECS connectivity is separately correlated with hallucinogens and opiates. Network connectivity is also correlated with drug use via two-way interactions with other substances including alcohol and tobacco. These preliminary findings can contribute to our understanding of the common combinations of substance co-use and associated neural patterns.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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