TY - GEN
T1 - ENIGMA pediatric msTBI
T2 - 14th International Symposium on Medical Information Processing and Analysis, SIPAIM 2018
AU - Dennis, Emily L.
AU - Caeyenberghs, Karen
AU - Babikian, Talin
AU - Olsen, Alexander
AU - Giza, Christopher C.
AU - Asarnow, Robert F.
AU - Levin, Harvey
AU - Kochunov, Peter
AU - Jahanshad, Neda
AU - Thompson, Paul M.
AU - Tate, David
AU - Wilde, Elisabeth
N1 - Publisher Copyright:
© SPIE. Downloading of the abstract is permitted for personal use only.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - diffusion magnetic resonance imaging (dMRI)
KW - metaanalysis
KW - pediatric
KW - traumatic brain injury (TBI)
UR - http://www.scopus.com/inward/record.url?scp=85060525915&partnerID=8YFLogxK
U2 - 10.1117/12.2506711
DO - 10.1117/12.2506711
M3 - Conference contribution
AN - SCOPUS:85060525915
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - 14th International Symposium on Medical Information Processing and Analysis
A2 - Lepore, Natasha
A2 - Romero, Eduardo
A2 - Brieva, Jorge
PB - SPIE
Y2 - 24 October 2018 through 26 October 2018
ER -