Advanced DWI Metrics Reveal Distinct Sex-Related Differences in Splenium of Corpus Callosum White Matter

Motivation: Advanced DWI metrics may reveal sex-related white matter variations, offering potential biomarkers for personalized chronic pain management. Goal(s): This study reveals demographic influences on DWI metrics, focusing on sex differences in the white matter within the splenium of the corpus callosum. Approach: Using data from 588 participants, DWI metrics were processed with QSIPrep, FSL, and PyDesigner and analyzed for sex differences through statistical tests and an XGBoost classifier and SHAP for machine learning results analysis. Results: Significant sex-based differences emerged, with EAS AD as a potential metric. The classifier achieved 81% accuracy, highlighting potential DWI biomarkers for sex-based differentiation. Impact: The A2CPS dataset reveals sex-specific influences on advanced DWI metrics, potentially paving the way for future biomarkers in personalized pain management and an enriched understanding of brain function.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/4676
Primary Topic
Infectious Encephalopathies and Encephalitis
Type
article
Field-Weighted Citation Impact
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article

Advanced DWI Metrics Reveal Distinct Sex-Related Differences in Splenium of Corpus Callosum White Matter

Enamul Bhuiyan, Tor Dessart Wager, Martin A. Lindquist, Patrick Sadil et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Infectious Encephalopathies and Encephalitis
article

Advanced DWI Metrics Reveal Distinct Sex-Related Differences in Splenium of Corpus Callosum White Matter

Enamul Bhuiyan, Tor Dessart Wager, Martin A. Lindquist, Patrick Sadil, Ping‐Shou Zhong, James Ford, Xiaohong Joe Zhou, John A. Burns, Robert J. McCarthy, Muge Karaman, Scott Sutherland, Laura Frey‐Law, Kezhou Wang, Qingfei Luo, Micah Johnson, Asokumar Buvanendran, Joshua Jacobs
article en

Abstract

Motivation: Advanced DWI metrics may reveal sex-related white matter variations, offering potential biomarkers for personalized chronic pain management. Goal(s): This study reveals demographic influences on DWI metrics, focusing on sex differences in the white matter within the splenium of the corpus callosum. Approach: Using data from 588 participants, DWI metrics were processed with QSIPrep, FSL, and PyDesigner and analyzed for sex differences through statistical tests and an XGBoost classifier and SHAP for machine learning results analysis. Results: Significant sex-based differences emerged, with EAS AD as a potential metric. The classifier achieved 81% accuracy, highlighting potential DWI biomarkers for sex-based differentiation. Impact: The A2CPS dataset reveals sex-specific influences on advanced DWI metrics, potentially paving the way for future biomarkers in personalized pain management and an enriched understanding of brain function.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 70%
Infectious Encephalopathies and Encephalitis
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