ENIGMA military brain injury: A coordinated meta-analysis of diffusion MRI from multiple cohorts

Emily L. Dennis; Elisabeth A. Wilde; Mary R. Newsome; Randall S. Scheibel; Maya Troyanskaya; Carmen Velez; Benjamin S.C. Wade; Ann Marie Drennon; Gerald E. York; Erin D. Bigler; Tracy J. Abildskov; Brian A. Taylor; Carlos A. Jaramillo; Blessen Eapen; Heather Belanger; Vikash Gupta; Rajendra Morey; Courtney Haswell; Harvey S. Levin; Sidney R. Hinds; William C. Walker; Paul M. Thompson; David F. Tate

doi:10.1109/ISBI.2018.8363830

ENIGMA military brain injury: A coordinated meta-analysis of diffusion MRI from multiple cohorts

Emily L. Dennis, Elisabeth A. Wilde, Mary R. Newsome, Randall S. Scheibel, Maya Troyanskaya, Carmen Velez, Benjamin S.C. Wade, Ann Marie Drennon, Gerald E. York, Erin D. Bigler, Tracy J. Abildskov, Brian A. Taylor, Carlos A. Jaramillo, Blessen Eapen, Heather Belanger, Vikash Gupta, Rajendra Morey, Courtney Haswell, Harvey S. Levin, Sidney R. HindsWilliam C. Walker, Paul M. Thompson, David F. Tate

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

19 Scopus citations

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.

Original language	English (US)
Title of host publication	2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018
Publisher	IEEE Computer Society
Pages	1386-1389
Number of pages	4
ISBN (Electronic)	9781538636367
DOIs	https://doi.org/10.1109/ISBI.2018.8363830
State	Published - May 23 2018
Externally published	Yes
Event	15th IEEE International Symposium on Biomedical Imaging, ISBI 2018 - Washington, United States Duration: Apr 4 2018 → Apr 7 2018

Publication series

Name	Proceedings - International Symposium on Biomedical Imaging
Volume	2018-April
ISSN (Print)	1945-7928
ISSN (Electronic)	1945-8452

Other

Other	15th IEEE International Symposium on Biomedical Imaging, ISBI 2018
Country/Territory	United States
City	Washington
Period	4/4/18 → 4/7/18

Keywords

Blast
Diffusion MRI
ENIGMA
Military
Traumatic brain injury

ASJC Scopus subject areas

Biomedical Engineering
Radiology Nuclear Medicine and imaging

Access to Document

10.1109/ISBI.2018.8363830

Cite this

Dennis, E. L., Wilde, E. A., Newsome, M. R., Scheibel, R. S., Troyanskaya, M., Velez, C., Wade, B. S. C., Drennon, A. M., York, G. E., Bigler, E. D., Abildskov, T. J., Taylor, B. A., Jaramillo, C. A., Eapen, B., Belanger, H., Gupta, V., Morey, R., Haswell, C., Levin, H. S., ... Tate, D. F. (2018). ENIGMA military brain injury: A coordinated meta-analysis of diffusion MRI from multiple cohorts. In 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018 (pp. 1386-1389). (Proceedings - International Symposium on Biomedical Imaging; Vol. 2018-April). IEEE Computer Society. https://doi.org/10.1109/ISBI.2018.8363830

ENIGMA military brain injury: A coordinated meta-analysis of diffusion MRI from multiple cohorts. / Dennis, Emily L.; Wilde, Elisabeth A.; Newsome, Mary R. et al.
2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, 2018. p. 1386-1389 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2018-April).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Dennis, EL, Wilde, EA, Newsome, MR, Scheibel, RS, Troyanskaya, M, Velez, C, Wade, BSC, Drennon, AM, York, GE, Bigler, ED, Abildskov, TJ, Taylor, BA, Jaramillo, CA, Eapen, B, Belanger, H, Gupta, V, Morey, R, Haswell, C, Levin, HS, Hinds, SR, Walker, WC, Thompson, PM & Tate, DF 2018, ENIGMA military brain injury: A coordinated meta-analysis of diffusion MRI from multiple cohorts. in 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. Proceedings - International Symposium on Biomedical Imaging, vol. 2018-April, IEEE Computer Society, pp. 1386-1389, 15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, United States, 4/4/18. https://doi.org/10.1109/ISBI.2018.8363830

Dennis EL, Wilde EA, Newsome MR, Scheibel RS, Troyanskaya M, Velez C et al. ENIGMA military brain injury: A coordinated meta-analysis of diffusion MRI from multiple cohorts. In 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society. 2018. p. 1386-1389. (Proceedings - International Symposium on Biomedical Imaging). doi: 10.1109/ISBI.2018.8363830

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title = "ENIGMA military brain injury: A coordinated meta-analysis of diffusion MRI from multiple cohorts",

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.",

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N2 - 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.

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ENIGMA military brain injury: A coordinated meta-analysis of diffusion MRI from multiple cohorts

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

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