Lifespan investigation of brain volumetric changes associated with substance use disorders
Poster No:
1006
Submission Type:
Abstract Submission
Authors:
Runye Shi1, Shitong Xiang1, Di Chen1, Chen Zheng1, Trevor Robbins2, Tobias Banaschewski3, Gareth Barker4, Arun Bokde5, Sylvane Desrivières6, Herta Flor7, Antoine Grigis8, Hugh Garavan9, Penny Gowland10, Andreas Heinz11, Rüdiger Brühl12, Jean-Luc Martinot13, Marie-Laure Martinot14, Eric Artiges13, Frauke Nees15, Dimitri Orfanos13, Tomáš Paus16, Luise Poustka17, Sarah Hohmann18, Sabina Millenet18, Juliane Fröhner19, Michael Smolka19, Nilakshi Vaidya20, Henrik Walter21, Robert Whelan5, Gunter Schumann22, Tianye Jia1, Xiaolei Lin23, JianFeng Feng22
Institutions:
1Fudan University, Shanghai, Shanghai, 2University of Cambridge, Cambridge, Cambridge, 3Department of Child and Adolescent Psychiatry and Psychotherapy, Heidelberg University, Mannheim, Germany, 4King’s College London, London, London, 5Trinity College Dublin, Dublin, Dublin, 6King's College London, London, London, 7University of Mannheim, Mannheim, Mannheim, 8Neurospin, Paris, Paris, 9University of Vermont College of Medicine, Burlington, VT, 10University of Nottingham, Nottingham, Nottingham, 11Charité – Universitätsmedizin Berlin, Berlin, Berlin, 12Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Braunschweig and Berlin, 13Université Paris-Saclay, Paris, Paris, 14University Paris-Saclay, Paris, Paris, 15University Medical Center Schleswig-Holstein, Kiel, Schleswig-Holstein, 16University of Montreal, Montreal, QC, 17University Medical Centre Göttingen, Göttingen, Göttingen, 18Heidelberg University, Mannheim, Mannheim, 19Technische Universität Dresden, Dresden, Dresden, 20Charité Universitätsmedizin Berlin, Berlin, Berlin, 21Charité–Universitätsmedizin Berlin, Berlin, Germany, 22Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 23School of Data Science, Fudan University, Shanghai, China
First Author:
Co-Author(s):
Tobias Banaschewski
Department of Child and Adolescent Psychiatry and Psychotherapy, Heidelberg University
Mannheim, Germany
Department of Child and Adolescent Psychiatry and Psychotherapy, Heidelberg University
Mannheim, Germany
Rüdiger Brühl
Physikalisch-Technische Bundesanstalt
Braunschweig and Berlin, Braunschweig and Berlin
Physikalisch-Technische Bundesanstalt
Braunschweig and Berlin, Braunschweig and Berlin
Gunter Schumann
Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University
Shanghai, China
Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University
Shanghai, China
JianFeng Feng
Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University
Shanghai, China
Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University
Shanghai, China
Introduction:
In recent years, there are increasing interests focusing on human lifespan development in neuroscience, emphasizing the challenges posed by different social characteristics and biological traits of different age stages in understanding mental health and behaviors(Walhovd, Lovden, & Fjell, 2023). In this study, we focus on exploring how the understanding of substance use disorder (SUD) will evolve across different life stages, which has become a serious public health issue worldwide due to its high prevalence and health/social impacts on individuals, families and society(Formanek, Krupchanka, Mlada, Winkler, & Jones, 2022; Joutsa et al., 2022; Volkow, Koob, & McLellan, 2016). Although multiple brain models have been proposed to explain the mechanisms underlying addiction(Kass & Matheo, 2019; Leshner, 1997; Levy, 2013; Volkow et al., 2016), findings are inconsistent across studies in either brain regions or changing directions, suggesting potential confoundings associated with life stages during which SUD was developed(Glisky, 2007; Pando-Naude et al., 2021).
Methods:
In this investigation, data from the Adolescent Brain Cognitive Development (ABCD) study(Karcher & Barch, 2021), the IMAGEN study(Mascarell Maricic et al., 2020), the Human Connectome Project (HCP)(Van Essen et al., 2012) and UK Biobank (UKB)(Sudlow et al., 2015) with participants ranging from adolescence to early adulthood and extending into older ages were incorporated. Normative models were introduced for each region of interest (ROI) to harmonize the neuroimaging data. Volumetric changing trajectories were compared between individuals with SUD and healthy controls (HCs). Correlations between GMV centiles and neurobehavioral scores were also investigated throughout the life span using common factors and pooled meta analysis of effect sizes. Finally, , genome-wide association study (GWAS) and genomic correlation analysis were performed to understand the genomic basis underlying the life span SUD changing trajectories.
Results:
In general, compared to HCs, individuals with SUD had lower grey matter volume (GMV) in cortical regions, with differences following an inverted U-shape over time, while the GMV differences in subcortical regions gradually decreased over time. The lifespan comparison of whole-brain gray matter volume (GMV) revealed potential neurobiological mechanisms and genomic basis underlying SUD, and highlighted three distinct life stages critical for the development of SUD. The first stage spans from pre-adolescent to early adulthood, where SUD is suspected to be the consequence of immature neurodevelopment, and serves as a critical period for early intervention. The second stage spans from early adulthood to mid-adulthood, where SUD was observed to be associated with compulsivity-related GMV changes. The final stage starts from mid-adulthood and is characterized by SUD-associated neurotoxicity. Results were externally validated both via longitudinal analysis of these population cohorts and in an independent cross-sectional NKI-RS cohort.
Conclusions:
In summary, our study demonstrated the lifespan whole-brain volumetric changes associated with SUD and revealed potential neurobehavioral mechanisms for the effective prevention and treatment strategies of SUD.
Lifespan Development:
Early life, Adolescence, Aging 2
Lifespan Development Other 1
Keywords:
Addictions
STRUCTURAL MRI
Other - Lifespan
1|2Indicates the priority used for review
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Provide references using APA citation style.
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