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ENIGMA pediatric msTBI: Preliminary results from meta-analysis of diffusion MRI

conference contribution
posted on 2018-01-01, 00:00 authored by E L Dennis, Karen CaeyenberghsKaren Caeyenberghs, T Babikian, A Olsen, C C Giza, R F Asarnow, H Levin, P Kochunov, N Jahanshad, P M Thompson, D Tate, E Wilde
© SPIE. Downloading of the abstract is permitted for personal use only. Traumatic brain injury (TBI) is a major public health issue around the world. Pediatric TBI patients are at risk of long-term disabilities, as a brain injury sustained during development can affect on-going maturational processes. The white matter (WM) in particular is vulnerable, as myelination continues into the third decade of life and beyond, and poor myelination of tracts can result in decreased integration within brain networks. In addition, variability and heterogeneity are hallmarks of TBI, e.g., injury-related variables and symptoms. These issues combined with small sample sizes limit the power and generalizability of individual studies. In the present study, we employed a meta-analytic approach, combining data across 4 pediatric TBI samples resulting in 104 TBI (75M/29F) and 114 control participants (70M/44F) between 7-18 years, using harmonized processing and analysis as part of the ENIGMA consortium (Enhancing NeuroImaging Genetics through Meta-Analysis). We report lower fractional anisotropy (FA) values in TBI patients across several post-injury windows, particularly in central WM tracts. Within the TBI patient group, we also report marginally significant results of lower FA in younger TBI patients, patients scanned closer to time of injury, and female patients. Although this meta-analytic approach yielded the largest sample size reported yet in pediatric moderate/severe TBI (msTBI) neuroimaging, our trends indicate that larger sample sizes are needed in further studies. As additional cohorts join the ENIGMA Pediatric moderate/severe TBI (msTBI) effort, more robust effects will be revealed.

History

Event

Medical Information Processing and Analysis. Symposium (2018 : 14th : Mazatlan, Mexico)

Volume

10975

Pagination

1 - 7

Publisher

SPIE

Location

Mazatlan, Mexico

Place of publication

Bellingham, Wash.

Start date

2018-10-24

End date

2018-10-26

ISSN

0277-786X

eISSN

1996-756X

ISBN-13

9781510626058

Language

eng

Publication classification

E1 Full written paper - refereed

Editor/Contributor(s)

E Romero, N Lepore, J Brieva

Title of proceedings

Proceedings of the 14th International Symposium on Medical Information Processing and Analysis