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ENIGMA military brain injury: A coordinated meta-analysis of diffusion MRI from multiple cohorts
- Source :
- ISBI
- Publication Year :
- 2018
- Publisher :
- IEEE, 2018.
-
Abstract
- Traumatic brain injury (TBI) is a significant cause of morbidity in military Veterans and Service Members. While most individuals recover fully from mild injuries within weeks, some continue to experience symptoms including headaches, disrupted sleep, and other cognitive, behavioral or physical symptoms. Diffusion magnetic resonance imaging (dMRI) shows promise in identifying areas of structural disruption and predicting outcomes. Although some studies suggest widespread structural disruption after brain injury, dMRI studies of military brain injury have yielded mixed results so far, perhaps due to the subtlety of mild injury, individual differences in injury location, severity and mechanism, and co-morbidity with other disorders such as post-traumatic stress disorder (PTSD), depression, and substance abuse. We present preliminary dMRI results from the ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) military brain injury working group. We found higher fractional anisotropy (FA) in participants with a history of TBI. Understanding the injury and recovery process, along with factors that influence these, will lead to improved diagnosis and treatment.
- Subjects :
- medicine.medical_specialty
medicine.diagnostic_test
business.industry
Traumatic brain injury
05 social sciences
Cognition
Magnetic resonance imaging
medicine.disease
Article
050105 experimental psychology
Substance abuse
03 medical and health sciences
0302 clinical medicine
Physical medicine and rehabilitation
Meta-analysis
Fractional anisotropy
Medicine
0501 psychology and cognitive sciences
Headaches
medicine.symptom
business
030217 neurology & neurosurgery
Depression (differential diagnoses)
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)
- Accession number :
- edsair.doi.dedup.....a65ffaf00781277b04a8066c82fed189
- Full Text :
- https://doi.org/10.1109/isbi.2018.8363830