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Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury
Published on: August 14, 2019
Military-related mild traumatic brain injury: clinical characteristics, advanced neuroimaging, and molecular
Sharon Y Kim1,2, Ping-Hong Yeh3, John M Ollinger2,3
1School of Medicine, Uniformed Services University, Bethesda, MD, USA.
Abstract:
Mild traumatic brain injury (mTBI) is a significant health burden among military service members. Although mTBI was once considered relatively benign compared to more severe TBIs, a growing body of evidence has demonstrated the devastating neurological consequences of mTBI, including chronic post-concussion symptoms and deficits in cognition, memory, sleep, vision, and hearing. The discovery of reliable biomarkers for mTBI has been challenging due to under-reporting and heterogeneity of military-related mTBI, unpredictability of pathological changes, and delay of post-injury clinical evaluations. Moreover, compared to more severe TBI, mTBI is especially difficult to diagnose due to the lack of overt clinical neuroimaging findings. Yet, advanced neuroimaging techniques using magnetic resonance imaging (MRI) hold promise in detecting microstructural aberrations following mTBI. Using different pulse sequences, MRI enables the evaluation of different tissue characteristics without risks associated with ionizing radiation inherent to other imaging modalities, such as X-ray-based studies or computerized tomography (CT). Accordingly, considering the high morbidity of mTBI in military populations, debilitating post-injury symptoms, and lack of robust neuroimaging biomarkers, this review (1) summarizes the nature and mechanisms of mTBI in military settings, (2) describes clinical characteristics of military-related mTBI and associated comorbidities, such as post-traumatic stress disorder (PTSD), (3) highlights advanced neuroimaging techniques used to study mTBI and the molecular mechanisms that can be inferred, and (4) discusses emerging frontiers in advanced neuroimaging for mTBI. We encourage multi-modal approaches combining neuropsychiatric, blood-based, and genetic data as well as the discovery and employment of new imaging techniques with big data analytics that enable accurate detection of post-injury pathologic aberrations related to tissue microstructure, glymphatic function, and neurodegeneration. Ultimately, this review provides a foundational overview of military-related mTBI and advanced neuroimaging techniques that merit further study for mTBI diagnosis, prognosis, and treatment monitoring.
Insights
Mild traumatic brain injury (mTBI) poses significant neurological risks for military personnel. Advanced magnetic resonance imaging (MRI) techniques show promise for detecting subtle brain changes and improving diagnosis of mTBI.
Area of Science:
- Neuroscience
- Radiology
- Military Medicine
Background:
- Mild traumatic brain injury (mTBI) is a prevalent issue in military service members, leading to chronic neurological deficits.
- Diagnosing mTBI is challenging due to under-reporting, varied injury mechanisms, and lack of clear neuroimaging findings.
- Existing neuroimaging methods often fail to detect the subtle microstructural changes associated with mTBI.
Purpose of the Study:
- To review the nature and mechanisms of military-related mTBI.
- To describe clinical characteristics and comorbidities of mTBI in military populations.
- To highlight advanced neuroimaging techniques for mTBI research and discuss future directions.
Main Methods:
- Review of existing literature on mTBI in military settings.
- Focus on advanced magnetic resonance imaging (MRI) techniques.
- Exploration of multi-modal approaches including blood-based and genetic data.
Main Results:
- Advanced MRI techniques offer potential for detecting microstructural aberrations post-mTBI.
- mTBI can lead to long-term cognitive, sleep, and sensory deficits.
- Comorbidities like PTSD are common with military-related mTBI.
Conclusions:
- Advanced neuroimaging is crucial for understanding and diagnosing mTBI.
- Multi-modal data and big data analytics are needed for accurate mTBI detection.
- Further research into novel imaging techniques is essential for mTBI diagnosis, prognosis, and treatment monitoring.
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