Meta-Analysis

. 2024 Nov;119(11):1937-1946.

doi: 10.1111/add.16621. Epub 2024 Aug 21.

Mega-analysis of the brain-age gap in substance use disorder: An ENIGMA Addiction working group study

Freda Scheffler^{1

2}, Jonathan Ipser^{1

2}, Devarshi Pancholi³, Alistair Murphy³, Zhipeng Cao³, Jonatan Ottino-González⁴; ENIGMA Addiction Working Group; Paul M Thompson⁵, Steve Shoptaw^{6

7}, Patricia Conrod⁸, Scott Mackey³, Hugh Garavan³, Dan J Stein^{1

2

9}

Collaborators, Affiliations

Collaborators

ENIGMA Addiction Working Group:
A Batalla, K T Brady, J Cousijn, A Dagher, F M Filbey, J J Foxe, E A Garza-Villarreal, A E Goudriaan, R H Hester, K E Hutchison, A M Kaag, E Kroon, C R Li, E D London, V Lorenzetti, M Luijten, R Martin-Santos, A L McRae, R Momenan, M P Paulus, G D Pearlson, L Reneman, R Salas, L Schmaal, M L J Schouw, R Sinha, N Solowij, E A Stein, R J Van Holst, D J Veltman, A Verdejo-García, R W Wiers, M Yucel

Affiliations

¹ Neuroscience Institute, University of Cape Town, Cape Town, South Africa.
² Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa.
³ Department of Psychiatry, University of Vermont College of Medicine, Burlington, USA.
⁴ Department of Pediatrics, Division of Endocrinology, Diabetes, and Metabolism, Children's Hospital Los Angeles, Los Angeles, USA.
⁵ Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, Department of Neurology, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA.
⁶ Department of Family Medicine, UCLA, Los Angeles, CA, USA.
⁷ University of Cape Town, Cape Town, South Africa.
⁸ Department of Psychiatry, Université de Montreal, CHU Ste Justine Hospital, Montreal, Canada.
⁹ South African Medical Research Council (SAMRC) Unit on Risk and Resilience in Mental Disorders, University of Cape Town, Cape Town, South Africa.

PMID: 39165145
DOI: 10.1111/add.16621

Meta-Analysis

Mega-analysis of the brain-age gap in substance use disorder: An ENIGMA Addiction working group study

Freda Scheffler et al. Addiction. 2024 Nov.

. 2024 Nov;119(11):1937-1946.

doi: 10.1111/add.16621. Epub 2024 Aug 21.

Authors

Collaborators

ENIGMA Addiction Working Group:
A Batalla, K T Brady, J Cousijn, A Dagher, F M Filbey, J J Foxe, E A Garza-Villarreal, A E Goudriaan, R H Hester, K E Hutchison, A M Kaag, E Kroon, C R Li, E D London, V Lorenzetti, M Luijten, R Martin-Santos, A L McRae, R Momenan, M P Paulus, G D Pearlson, L Reneman, R Salas, L Schmaal, M L J Schouw, R Sinha, N Solowij, E A Stein, R J Van Holst, D J Veltman, A Verdejo-García, R W Wiers, M Yucel

Affiliations

¹ Neuroscience Institute, University of Cape Town, Cape Town, South Africa.
² Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa.
³ Department of Psychiatry, University of Vermont College of Medicine, Burlington, USA.
⁴ Department of Pediatrics, Division of Endocrinology, Diabetes, and Metabolism, Children's Hospital Los Angeles, Los Angeles, USA.
⁵ Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, Department of Neurology, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA.
⁶ Department of Family Medicine, UCLA, Los Angeles, CA, USA.
⁷ University of Cape Town, Cape Town, South Africa.
⁸ Department of Psychiatry, Université de Montreal, CHU Ste Justine Hospital, Montreal, Canada.
⁹ South African Medical Research Council (SAMRC) Unit on Risk and Resilience in Mental Disorders, University of Cape Town, Cape Town, South Africa.

PMID: 39165145
DOI: 10.1111/add.16621

Abstract

Background and aims: The brain age gap (BAG), calculated as the difference between a machine learning model-based predicted brain age and chronological age, has been increasingly investigated in psychiatric disorders. Tobacco and alcohol use are associated with increased BAG; however, no studies have compared global and regional BAG across substances other than alcohol and tobacco. This study aimed to compare global and regional estimates of brain age in individuals with substance use disorders and healthy controls.

Design: This was a cross-sectional study.

Setting: This is an Enhancing Neuro Imaging through Meta-Analysis Consortium (ENIGMA) Addiction Working Group study including data from 38 global sites.

Participants: This study included 2606 participants, of whom 1725 were cases with a substance use disorder and 881 healthy controls.

Measurements: This study used the Kaufmann brain age prediction algorithms to generate global and regional brain age estimates using T1 weighted magnetic resonance imaging (MRI) scans. We used linear mixed effects models to compare global and regional (FreeSurfer lobestrict output) BAG (i.e. predicted minus chronological age) between individuals with one of five primary substance use disorders as well as healthy controls.

Findings: Alcohol use disorder (β = -5.49, t = -5.51, p < 0.001) was associated with higher global BAG, whereas amphetamine-type stimulant use disorder (β = 3.44, t = 2.42, p = 0.02) was associated with lower global BAG in the separate substance-specific models.

Conclusions: People with alcohol use disorder appear to have a higher brain-age gap than people without alcohol use disorder, which is consistent with other evidence of the negative impact of alcohol on the brain.

Keywords: ENIGMA; addiction; brain age; machine learning; neuroimaging; predicted brain age difference; substance use disorder.

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References

REFERENCES

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Mega-analysis of the brain-age gap in substance use disorder: An ENIGMA Addiction working group study

Collaborators

Affiliations

Mega-analysis of the brain-age gap in substance use disorder: An ENIGMA Addiction working group study

Authors

Collaborators

Affiliations

Abstract

References

REFERENCES

Publication types

MeSH terms

Grants and funding

LinkOut - more resources

Full Text Sources

Medical

Miscellaneous