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White Matter Microstructure Differences in Individuals With Dependence on Cocaine, Methamphetamine, and Nicotine: Findings From the Enigma-Addiction Working Group Publisher Pubmed



Ottinogonzalez J1 ; Uhlmann A2 ; Hahn S1 ; Cao Z1 ; Cupertino RB1 ; Schwab N1 ; Allgaier N1 ; Aliaklein N3 ; Ekhtiari H4, 5 ; Fouche JP6 ; Goldstein RZ3 ; Li CSR8 ; Lochner C7 ; London ED9 Show All Authors
Authors
  1. Ottinogonzalez J1
  2. Uhlmann A2
  3. Hahn S1
  4. Cao Z1
  5. Cupertino RB1
  6. Schwab N1
  7. Allgaier N1
  8. Aliaklein N3
  9. Ekhtiari H4, 5
  10. Fouche JP6
  11. Goldstein RZ3
  12. Li CSR8
  13. Lochner C7
  14. London ED9
  15. Luijten M10
  16. Masjoodi S11
  17. Momenan R12
  18. Oghabian MA11
  19. Roos A7, 13
  20. Stein DJ13
  21. Stein EA14
  22. Veltman DJ15
  23. Verdejogarcia A16
  24. Zhang S8
  25. Zhao M17
  26. Zhong N17
  27. Jahanshad N18
  28. Thompson PM18
  29. Conrod P19
  30. Mackey S1
  31. Garavan H1
Show Affiliations
Authors Affiliations
  1. 1. Department of Psychiatry, University of Vermont College of Medicine, Burlington, VT, United States
  2. 2. Department of Child & Adolescent Psychiatry and Psychotherapy, Technische Universitat Dresden, Dresden, Germany
  3. 3. Department of Psychiatry & Neuroscience, Icahn School of Medicine at Mount Sinai, New York City, NY, United States
  4. 4. Institute for Cognitive Sciences Studies, University of Tehran, Tehran, Iran
  5. 5. Iranian National Center for Addiction Studies, Tehran University of Medical Sciences, Tehran, Iran
  6. 6. SA MRC Genomics and Brain Disorders Unit, Department of Psychiatry, Stellenbosch University, Stellenbosch, South Africa
  7. 7. SA MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry, Stellenbosch University, Stellenbosch, South Africa
  8. 8. Department of Psychiatry, Yale University, New Haven, CT, United States
  9. 9. Department of Psychiatry and Biobehavioural Sciences, University of California, Los Angeles, CA, United States
  10. 10. Behavioural Science Institute, Radboud University, Nijmegen, Netherlands
  11. 11. Neuroimaging & Analysis Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran
  12. 12. Clinical Neuroimaging Research Core, National Institutes on Alcohol Abuse & Alcoholism, National Institutes of Health, Bethesda, MD, United States
  13. 13. SA MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
  14. 14. Neuroimaging Research Branch, Intramural Research Program, National Institute of Drug Abuse, Baltimore, MD, United States
  15. 15. Department of Psychiatry, Amsterdam UMC – location VUM, Amsterdam, Netherlands
  16. 16. School of Psychological Sciences & Turner Institute for Brain & Mental Health, Monash University, Melbourne, Australia
  17. 17. Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
  18. 18. Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine, University of Southern California, San Diego, CA, United States
  19. 19. Department of Psychiatry, Universite de Montreal, Montreal, QC, Canada

Source: Drug and Alcohol Dependence Published:2022


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. © 2021
1. Neuroimaging Biomarkers of Addiction, Nature Mental Health (2024)
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