Understanding Resilience and White Matter Damage in mTBI: Predictive Insights from Diffusion MRI and Blood Biomarkers

Motivation: This research addresses the need for accurate mTBI diagnostics by combining diffusion MRI and blood biomarkers, aiming to improve early detection and enable targeted interventions to support recovery in high-risk patients. Goal(s): This study aims to assess relationships between dMRI metrics and blood-based white matter biomarkers in a diverse cohort, evaluate their predictive capacity for PPCS development, and examine the role of psychological resilience in influencing these biomarkers and recovery outcomes. Approach: Longitudinal cohort study with participants undergoing dMRI, blood biomarker analysis, and resilience assessment. Statistical models will evaluate biomarker predictive power and resilience effects on white matter damage and PPCS progression. Impact: Establishing a relationship between dMRI metrics and blood-based biomarkers in a real-world mTBI population could enhance understanding of white matter pathophysiology and support prognostic clinical tool development. Insights into resilience may enable early identification of high-risk patients needing targeted intervention.

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/10.58530/2025/0434
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Understanding Resilience and White Matter Damage in mTBI: Predictive Insights from Diffusion MRI and Blood Biomarkers

Ana Ávila, Glenn Arendts, Ben Smedley, Amanda Jefferson 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
Advanced MRI Techniques and Applications
article

Understanding Resilience and White Matter Damage in mTBI: Predictive Insights from Diffusion MRI and Blood Biomarkers

Ana Ávila, Glenn Arendts, Ben Smedley, Amanda Jefferson, Carmela Pestell, Antonio Celenza, Melinda Fitzgerald, Alexander Ring, Jacinta Thorne, Michael Bynevelt, Elizabeth Thomas, Melissa G. Papini, Gill Cowen, Aleksandra Gozt, Ashes Mukherjee, Stephen Honeybul, Sjinene Van Schalkwyk, Philip Brooks, Daniel M Fatovich, John Charles Iliff, Sarah C. Hellewell, Francesca Buhagiar, Dan Xu, Geena Gill, Caerwen S. Ellery, Ruby Gilroy
article en

Abstract

Motivation: This research addresses the need for accurate mTBI diagnostics by combining diffusion MRI and blood biomarkers, aiming to improve early detection and enable targeted interventions to support recovery in high-risk patients. Goal(s): This study aims to assess relationships between dMRI metrics and blood-based white matter biomarkers in a diverse cohort, evaluate their predictive capacity for PPCS development, and examine the role of psychological resilience in influencing these biomarkers and recovery outcomes. Approach: Longitudinal cohort study with participants undergoing dMRI, blood biomarker analysis, and resilience assessment. Statistical models will evaluate biomarker predictive power and resilience effects on white matter damage and PPCS progression. Impact: Establishing a relationship between dMRI metrics and blood-based biomarkers in a real-world mTBI population could enhance understanding of white matter pathophysiology and support prognostic clinical tool development. Insights into resilience may enable early identification of high-risk patients needing targeted intervention.

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 64%
Advanced MRI Techniques and Applications
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