Fiber-specific white matter properties related to clinical features in military service members after a remote mild traumatic brain injury

Motivation: Identifying brain changes that are associated with repetitive insult and persistent post-concussive symptoms can be potentially useful in differentiating mild traumatic brain injury from purely psychological disorders. Goal(s): Apply fixel-based analysis (FBA) method to assess the relationships between clinical symptoms and tissue features using advanced dMRI techniques, and to identify WM changes that are associated with repetitive insult in service members (SMs). Approach: Employ FBA, tractography and TSA on NODDI in SMs with mTBI. Results: Unique anatomical locations where structural properties related to clinical symptoms. The white matter changes over the brainstem fibers are associated with the number of total lifetime TBI. Impact: Advanced diffusion MRI techniques using higher model should be considered as a choice of option in assessing subtle white matter alterations in mild traumatic brain injury presenting due to the great heterogeneity of underlying pathological features.

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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
2024-11-26
DOI
https://doi.org/10.58530/2024/1614
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Fiber-specific white matter properties related to clinical features in military service members after a remote mild traumatic brain injury

Chihwa Song, Ping‐Hong Yeh, John Ollinger, Rujirutana Srikanchana 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 Neuroimaging Techniques and Applications
article

Fiber-specific white matter properties related to clinical features in military service members after a remote mild traumatic brain injury

Chihwa Song, Ping‐Hong Yeh, John Ollinger, Rujirutana Srikanchana, Wei Liu, Cheng Guan Koay
article en

Abstract

Motivation: Identifying brain changes that are associated with repetitive insult and persistent post-concussive symptoms can be potentially useful in differentiating mild traumatic brain injury from purely psychological disorders. Goal(s): Apply fixel-based analysis (FBA) method to assess the relationships between clinical symptoms and tissue features using advanced dMRI techniques, and to identify WM changes that are associated with repetitive insult in service members (SMs). Approach: Employ FBA, tractography and TSA on NODDI in SMs with mTBI. Results: Unique anatomical locations where structural properties related to clinical symptoms. The white matter changes over the brainstem fibers are associated with the number of total lifetime TBI. Impact: Advanced diffusion MRI techniques using higher model should be considered as a choice of option in assessing subtle white matter alterations in mild traumatic brain injury presenting due to the great heterogeneity of underlying pathological features.

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
Good health and well-being
Openalex Percentile: Top 63%
Advanced Neuroimaging Techniques and Applications
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Fiber-specific white matter properties related to clinical features in military service members after a remote mild traumatic brain injury — Chihwa Song, Ping‐Hong Yeh, 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 (2024) | TGRS Research Map | TGRS