White matter microstructure differences in individuals with dependence on cocaine, methamphetamine, and nicotine: Findings from the ENIGMA-Addiction working group

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Jonatan Ottino-González - , University of Vermont (Autor:in)
  • Anne Uhlmann - , Klinik und Poliklinik für Kinder- und Jugendpsychiatrie, Technische Universität Dresden (Autor:in)
  • Sage Hahn - , University of Vermont (Autor:in)
  • Zhipeng Cao - , University of Vermont (Autor:in)
  • Renata B Cupertino - , University of Vermont (Autor:in)
  • Nathan Schwab - , University of Vermont (Autor:in)
  • Nicholas Allgaier - , University of Vermont (Autor:in)
  • Nelly Alia-Klein - , Icahn School of Medicine at Mount Sinai (Autor:in)
  • Hamed Ekhtiari - , University of Tehran (Autor:in)
  • Jean-Paul Fouche - , University of Stellenbosch (Autor:in)
  • Rita Z Goldstein - , Icahn School of Medicine at Mount Sinai (Autor:in)
  • Chiang-Shan R Li - , Yale University (Autor:in)
  • Christine Lochner - , University of Stellenbosch (Autor:in)
  • Edythe D London - , University of California at Irvine (Autor:in)
  • Maartje Luijten - , Radboud University Nijmegen (Autor:in)
  • Sadegh Masjoodi - , Shiraz University of Medical Sciences (Autor:in)
  • Reza Momenan - , National Institutes of Health (NIH) (Autor:in)
  • Mohammad Ali Oghabian - , Tehran University of Medical Sciences (Autor:in)
  • Annerine Roos - , University of Stellenbosch (Autor:in)
  • Dan J Stein - , University of Cape Town (Autor:in)
  • Elliot A Stein - , National Institute of Drug Abuse (Autor:in)
  • Dick J Veltman - , Amsterdam University Medical Centers (UMC) (Autor:in)
  • Antonio Verdejo-García - , Monash University (Autor:in)
  • Sheng Zhang - , Yale University (Autor:in)
  • Min Zhao - , Shanghai Jiao Tong University (Autor:in)
  • Na Zhong - , Shanghai Jiao Tong University (Autor:in)
  • Neda Jahanshad - , University of Southern California (Autor:in)
  • Paul M Thompson - , University of Southern California (Autor:in)
  • Patricia Conrod - , Amsterdam University Medical Centers (UMC) (Autor:in)
  • Scott Mackey - , University of Vermont (Autor:in)
  • Hugh Garavan - , University of Vermont (Autor:in)

Abstract

BACKGROUND: Nicotine and illicit stimulants are very addictive substances. Although associations between grey matter and dependence on stimulants have been frequently reported, white matter correlates have received less attention.

METHODS: Eleven international sites ascribed to the ENIGMA-Addiction consortium contributed data from individuals with dependence on cocaine (n = 147), methamphetamine (n = 132) and nicotine (n = 189), as well as non-dependent controls (n = 333). We compared the fractional anisotropy (FA), axial diffusivity (AD), radial diffusivity (RD) and mean diffusivity (MD) of 20 bilateral tracts. Also, we compared the performance of various machine learning algorithms in deriving brain-based classifications on stimulant dependence.

RESULTS: The cocaine and methamphetamine groups had lower regional FA and higher RD in several association, commissural, and projection white matter tracts. The methamphetamine dependent group additionally showed lower regional AD. The nicotine group had lower FA and higher RD limited to the anterior limb of the internal capsule. The best performing machine learning algorithm was the support vector machine (SVM). The SVM successfully classified individuals with dependence on cocaine (AUC = 0.70, p < 0.001) and methamphetamine (AUC = 0.71, p < 0.001) relative to non-dependent controls. Classifications related to nicotine dependence proved modest (AUC = 0.62, p = 0.014).

CONCLUSIONS: Stimulant dependence was related to FA disturbances within tracts consistent with a role in addiction. The multivariate pattern of white matter differences proved sufficient to identify individuals with stimulant dependence, particularly for cocaine and methamphetamine.

Details

OriginalspracheEnglisch
Aufsatznummer109185
Seiten (von - bis)109185
FachzeitschriftDrug and alcohol dependence
Jahrgang230
PublikationsstatusVeröffentlicht - 1 Jan. 2022
Peer-Review-StatusJa

Externe IDs

PubMedCentral PMC8952409
Scopus 85120378146
ORCID /0000-0002-1753-7811/work/142248159

Schlagworte

Schlagwörter

  • Cocaine, Diffusion Tensor Imaging, Humans, Methamphetamine/adverse effects, Nicotine, White Matter/diagnostic imaging