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Alcohol Use Disrupts Age-Appropriate Cortical Thinning in Adolescence: A Data Driven Approach

View ORCID ProfileDelin Sun, Viraj R. Adduru, Rachel D. Phillips, Heather C. Bouchard, Aristeidis Sotiras, Andrew M. Michael, Fiona C. Baker, Susan F. Tapert, Sandra A. Brown, Duncan B. Clark, David Goldston, Kate B. Nooner, Bonnie J. Nagel, Wesley K. Thompson, Michael De Bellis, Rajendra A. Morey
doi: https://doi.org/10.1101/2021.05.17.444458
Delin Sun
1Duke-UNC Brain Imaging and Analysis Center, Duke University, Durham, NC USA; VA Mid-Atlantic MIRECC, Durham VA Medical Center, Durham VA, Durham, NC USA
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  • ORCID record for Delin Sun
Viraj R. Adduru
2Duke-UNC Brain Imaging and Analysis Center, Duke University, Durham, NC USA; VA Mid-Atlantic MIRECC, Durham VA Medical Center, Durham VA, Durham, NC USA; Chester F. Carlson Center for Imaging Sciences, Rochester Institute of Technology, Rochester, NY USA
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Rachel D. Phillips
1Duke-UNC Brain Imaging and Analysis Center, Duke University, Durham, NC USA; VA Mid-Atlantic MIRECC, Durham VA Medical Center, Durham VA, Durham, NC USA
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Heather C. Bouchard
1Duke-UNC Brain Imaging and Analysis Center, Duke University, Durham, NC USA; VA Mid-Atlantic MIRECC, Durham VA Medical Center, Durham VA, Durham, NC USA
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Aristeidis Sotiras
3Department of Radiology and Institute for Informatics, University of Washington, St Louis MO USA
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Andrew M. Michael
4Duke-UNC Brain Imaging and Analysis Center, Duke University, Durham, NC USA; Chester F. Carlson Center for Imaging Sciences, Rochester Institute of Technology, Rochester, NY USA
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Fiona C. Baker
5Biosciences Division, SRI International, Menlo Park, CA USA
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Susan F. Tapert
6Department of Psychiatry, University of California San Diego, La Jolla, CA USA
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Sandra A. Brown
6Department of Psychiatry, University of California San Diego, La Jolla, CA USA
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Duncan B. Clark
7Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA USA
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David Goldston
8Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC USA
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Kate B. Nooner
9Department of Psychology, University of North Carolina Wilmington, NC USA
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Bonnie J. Nagel
10Departments of Psychiatry and Behavioral Neuroscience, Oregon Health & Science University, Portland, OR USA
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Wesley K. Thompson
11Department of Psychiatry, University of California, San Diego, CA USA
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Michael De Bellis
12Duke-UNC Brain Imaging and Analysis Center, Duke University, Durham, NC USA; Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC USA
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Rajendra A. Morey
13Duke-UNC Brain Imaging and Analysis Center, Duke University, Durham, NC USA; VA Mid-Atlantic MIRECC, Durham VA Medical Center, Durham VA, Durham, NC USA; Center for Cognitive Neuroscience, Duke University, Durham, NC USA; Department of Psychiatry and Beha
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  • For correspondence: rajendra.morey@duke.edu
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Abstract

Objective Cortical thickness changes dramatically during development and is influenced by adolescent drinking. However, previous findings have been inconsistent and limited by region-of-interest approaches that are underpowered because they do not conform to the underlying heterogeneity from the effects of alcohol.

Methods Adolescents (n=657; 12-22 years at baseline) from the National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA) who endorsed little to no alcohol use at baseline were assessed with structural MRI and followed longitudinally at four yearly intervals. Seven unique spatially covarying patterns of cortical thickness were obtained from the baseline scans by applying a novel data-driven method called non-negative matrix factorization (NMF). The cortical thickness maps of all participants’ longitudinal scans were projected onto vertex-level cortical patterns to obtain participant-specific coefficients for each pattern. Linear mixed-effects models were fit to each pattern to investigate longitudinal effects of alcohol consumption on cortical thickness.

Results In most NMF-derived cortical thickness patterns, the longitudinal rate of decline in no/low drinkers was similar for all age cohorts, among moderate drinkers the decline was faster in the younger cohort and slower in the older cohort, among heavy drinkers the decline was fastest in the younger cohort and slowest in the older cohort (FDR corrected p-values < 0.01).

Conclusions The NMF method can delineate spatially coordinated patterns of cortical thickness at the vertex level that are unconstrained by anatomical features. Age-appropriate cortical thinning is more rapid in younger adolescent drinkers and slower in older adolescent drinkers.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Alcohol Use Disrupts Age-Appropriate Cortical Thinning in Adolescence: A Data Driven Approach
Delin Sun, Viraj R. Adduru, Rachel D. Phillips, Heather C. Bouchard, Aristeidis Sotiras, Andrew M. Michael, Fiona C. Baker, Susan F. Tapert, Sandra A. Brown, Duncan B. Clark, David Goldston, Kate B. Nooner, Bonnie J. Nagel, Wesley K. Thompson, Michael De Bellis, Rajendra A. Morey
bioRxiv 2021.05.17.444458; doi: https://doi.org/10.1101/2021.05.17.444458
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Alcohol Use Disrupts Age-Appropriate Cortical Thinning in Adolescence: A Data Driven Approach
Delin Sun, Viraj R. Adduru, Rachel D. Phillips, Heather C. Bouchard, Aristeidis Sotiras, Andrew M. Michael, Fiona C. Baker, Susan F. Tapert, Sandra A. Brown, Duncan B. Clark, David Goldston, Kate B. Nooner, Bonnie J. Nagel, Wesley K. Thompson, Michael De Bellis, Rajendra A. Morey
bioRxiv 2021.05.17.444458; doi: https://doi.org/10.1101/2021.05.17.444458

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