Abstract
Addiction is associated with high impulsivity. Behavioral impulsivity sets the vulnerability in addiction formation, facilitates drug use, and acts as one most important risk factors for relapse. However, the pattern of individual heterogeneity across addictive disorders for precision medicine is still unclear. We performed network-based analysis using the clinical data of trait impulsivity from 1687 subjects with stimulant and heroin use disorders, as well as Internet gaming disorder (IGD). Based on Barratt Impulsivity Scale (BIS) measurements, the trait impulsivity networks and individual differential impulsivity networks (IDINs) were constructed. The three types of addiction respectively accompany different core impulsivity traits. The global network strength in stimulant use disorder was significantly higher than that in other addiction types, and non-planning impulsivity connections in heroin subjects differed from the rest groups. Based on the individual differential impulsivity networks, these subjects were clustered into three types, as deviated from control subjects. The three deviation patterns were related to addiction type, age, education, and addiction duration. These findings indicated different core impulsivity traits across addictions and heterogeneity of individual trait impulsivity patterns, which supports individualized medicine in managing impulsivity.
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The data that support the findings of this study are available from the corresponding author upon reasonable request.
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We appreciate Dr. Zhishan Hu’s advice on this manuscript.
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This work was supported by Science and Brain-Like Intelligence Technology (2021ZD0202105, 2022ZD0211100); National Nature Science Foundation (82130041, 82171483, 82201650); Shanghai Municipal Science and Technology Major Project (2018SHZDZX05); Shanghai Shenkang Hospital Development Center (SHDC2020CR3045B); Shanghai Clinical Research Center for Mental Health (19MC1911100); Shanghai Engineering Research Center of Intelligent Addiction Treatment and Rehabilitation (19DZ2255200); Lingang Lab (Grant LG202106-03–01); Shanghai Municipal Health Commission Talent Project (2022YQ048); and Shanghai Rising-star Cultivation Program (22YF1439200).
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MZ and TFY conceptualized the study. MZ acquired funding. LG, TZC, and HZ conducted the data analysis and drafted the article. TZC, HZ, NZ, QYW, HS, HFJ, JD, and GHD conducted the study and collected data. MZ and TFY reviewed the draft. All authors directly accessed and verified the underlying data. All authors approved the final version, and assume responsibility for the overall content of this article.
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The procedures followed the Helsinki Declaration, and all subjects who volunteered to participate in the study signed the informed consent. The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008. The study has been approved by the Ethic committee of the Shanghai Mental Health Center (approval number: 20189–73).
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Guo, L., Chen, T., Zheng, H. et al. The Structure and Individual Patterns of Trait Impulsivity Across Addiction Disorders: a Network Analysis. Int J Ment Health Addiction (2023). https://doi.org/10.1007/s11469-023-01022-0
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DOI: https://doi.org/10.1007/s11469-023-01022-0