Fixel-based analysis [Neurosurgery Wiki]

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====== Fixel-based analysis ======

Fixel-based analysis (FBA) is a quantitative [[framework]], which identifies microstructural and macrostructural changes in individual fiber populations within [[voxel]]s containing crossing fibers.
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In a [[prospective]] [[longitudinal]] [[cohort]] of very [[preterm]] (VPT) and full-[[term]] FT children, they used [[Fixel-Based Analysis]] to investigate associations between the maturation of white matter fiber density (FD), fiber-bundle cross-section (FC), and combined fiber density and cross-section (FDC) and math computation ability at 7 (n = 136 VPT; n = 32 FT) and 13 (n = 130 VPT; n = 44 FT) years, as well as between change in white matter and math computation ability from 7 to 13 years (n = 103 VPT; n = 21 FT). In both VPT and FT children, higher FD, FC, and FDC in visual, sensorimotor, and cortico-thalamic/thalamocortical white matter tracts were associated with better math computation ability at 7 and 13 years. Longitudinally, accelerated maturation of the posterior body of the corpus callosum (FDC) was associated with greater math computation development. White matter-math associations were similar for VPT and FT children. In conclusion, white matter maturation is associated with math computation ability across late childhood, irrespective of birth group
((Collins SE, Thompson DK, Kelly CE, Yang JYM, Pascoe L, Inder TE, Doyle LW, Cheong JLY, Burnett AC, Anderson PJ. Development of brain white matter and math computation ability in children born very preterm and full-term. Dev Cogn Neurosci. 2021 Jul 12;51:100987. doi: 10.1016/j.dcn.2021.100987. Epub ahead of print. PMID: 34273749.)).
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