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An Investigation of Differences in White Matter Tract Patterns in Alcohol Use Disorder: Standard Statistical and Covariance Analyses

Authors :
Kelly Kolleck
Evgeny J. Chumin
Yu-Chien Wu
Mario Dzemidzic
Karmen Yoder
Source :
Proceedings of IMPRS. 5
Publication Year :
2023
Publisher :
IUPUI University Library, 2023.

Abstract

Background: Magnetic resonance imaging (MRI) studies have been used to demonstrate differences in white matter (WM) in the brains of individuals with alcohol use disorder (AUD). Alcohol use is known to be deleterious on WM integrity, and there are reports of an inverse relationship between WM fractional anisotropy (FA) and self-reported alcohol consumption. Still, the specific WM tracts which are affected remain unclear. This study sought to determine whether alcohol use differentially alters FA and neurite microstructure in WM regions of interest (ROIs). We used diffusion weighted MRI to compare metrics of WM integrity between non- treatment seeking individuals with AUD and social drinkers (SD). Methods: Thirteen subjects with AUD and 21 SD underwent hybrid diffusion imaging (HYDI) on a 3T Siemens MRI scanner. HYDI data were processed with diffusion tensor imaging and Neurite Orientation Dispersion and Density Index (NODDI) modeling to produce parametric images of outcome metrics. All parametric images were converted to standard space before extraction of average parameter values from regions of interest defined by the John Hopkins University 1 mm WM atlas. For each metric, independent t-tests were used to test for group differences. Covariance analyses will be used to examine differences in covariance matrix structure between groups. Results: Compared to social drinkers, participants with AUD had significantly lower FA, higher radial diffusivity, and higher orientation dispersion (OD) in subregions of the corpus callosum (p

Subjects

Subjects :
Ocean Engineering

Details

ISSN :
26412470
Volume :
5
Database :
OpenAIRE
Journal :
Proceedings of IMPRS
Accession number :
edsair.doi...........48507d11a03ae93fd8e7ca102f21f7dd