The Structure and Individual Patterns of Trait Impulsivity Across Addiction Disorders: a Network Analysis.

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 st...

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Publicado en:International Journal of Mental Health & Addiction Vol. 22; no. 5; pp. 2844 - 2861
Autores principales: Guo, Lei, Chen, Tianzhen, Zheng, Hui, Zhong, Na, Wu, Qianying, Su, Hang, Jiang, Haifeng, Du, Jiang, Dong, Guangheng, Yuan, Ti-Fei, Zhao, Min
Formato: Artículo
Publicado: Springer Nature Oct2024
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Acceso en línea:Ver este registro en EBSCOhost
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      dt: Oct2024
      vid: 22
      iid: 5
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      pub: Springer Nature
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        181830960
        10.1007/s11469-023-01022-0
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      tig:
        atl: The Structure and Individual Patterns of Trait Impulsivity Across Addiction Disorders: a Network Analysis.
      aug:
        au:
          Guo, Lei
          Chen, Tianzhen
          Zheng, Hui
          Zhong, Na
          Wu, Qianying
          Su, Hang
          Jiang, Haifeng
          Du, Jiang
          Dong, Guangheng
          Yuan, Ti-Fei
          Zhao, Min
        affil:
          https://ror.org/05bd2wa15 Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, China
          https://ror.org/01bkvqx83 Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Zhejiang Province, Hangzhou, China
          https://ror.org/05bd2wa15 Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai, China
          https://ror.org/02afcvw97 Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, China
          https://ror.org/034t30j35 CAS Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Sciences, Shanghai, China
      su:
        Gaming disorder
        Impulsive personality
        Addictions
        Individualized medicine
        Heroin
      sug:
        subj:
          Gaming disorder
          Impulsive personality
          Addictions
          Individualized medicine
          Heroin
      keyword:
        Addiction
        Clustering
        Impulsivity
        Internet gaming disorder
        Network analysis
        Addiction
        Clustering
        Impulsivity
        Internet gaming disorder
        Network analysis
      ab: 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.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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