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Superficial white matter across the lifespan: volume, thickness, change, and relationship with cortical features

Authors :
Kurt G Schilling
Derek Archer
Francois Rheault
Ilwoo Lyu
Yuankai Huo
Leon Y Cai
Silvia A Bunge
Kevin S Weiner
John C Gore
Adam W Anderson
Bennett A Landman
Publication Year :
2022
Publisher :
Cold Spring Harbor Laboratory, 2022.

Abstract

Superficial white matter (SWM) represents a significantly understudied part of the human brain, despite comprising a large portion of brain volume and making up a majority of cortical structural connections. Using multiple, high-quality, datasets with large sample sizes (N=2421, age range 5-100) in combination with methodological advances in tractography, we quantified features of SWM volume and thickness across the brain and across the lifespan. We address four questions: (1) How does U-fiber volume change with age? (2) What does U-fiber thickness look like across the brain? (3) How does SWM thickness change with age? (4) Are there relationships between SWM thickness and cortical features? Our main findings are that (1) SWM volume shows unique volumetric trajectories with age that are distinct from gray matter and other white matter trajectories; (2) SWM thickness varies across the brain, with patterns robust across individuals and across the population at the region-level and vertex-level; (3) SWM shows nonlinear changes across the lifespan that vary across regions; and (4) SWM thickness is associated with cortical thickness and curvature. For the first time, we show that SWM volume follows a similar trend as overall white matter volume, peaking at a similar time in adolescence, leveling off throughout adulthood, and decreasing with age thereafter. Notably, the relative fraction of total brain volume of SWM continuously increases with age, and consequently takes up a larger proportion of total white matter volume, unlike the other tissue types that decrease with respect to total brain volume. This study represents the first characterization of SWM features across the lifespan and provides the background for characterizing normal aging and insight into the mechanisms associated with SWM development and decline.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........8bf072c505fab7a8057fedde75e0bea7
Full Text :
https://doi.org/10.1101/2022.07.20.500818