< Back to Article
Mapping cerebral blood perfusion and its links to multi-scale brain organization across the human lifespan
Fig 4
Blood perfusion across development.
(a) Whole-brain perfusion (y-axis), stratified by age (x-axis) and biological sex (male: blue, female: red). S7 Table shows statistical comparisons between males and females in each age bin. (b) Age-effect perfusion map estimated using data from 627 participants in the HCP-Development dataset (5–22 years). Linear age coefficients (
) are derived from a linear model (
), applied at each vertex/voxel i. Subcortical age-effect values are shown in S11A Fig. Sex-effect and coefficient significance maps are provided in S12 Fig. S13 Fig shows vertex/voxel-wise Spearman correlation maps of blood perfusion and age, stratified by biological sex. See S14 and S15 Figs for sex-stratified non-linear modeling of perfusion changes. (c) Mean age-effect on cerebral perfusion, stratified into unimodal and transmodal cortex (unimodal: visual and somatomotor networks, shown in green; transmodal: frontoparietal and default mode networks, shown in yellow; canonical intrinsic functional networks from Yeo et al. [124]). The age-effect difference (
) is significant using both t-tests (t = 12.97, 
) and non-parametric spin tests (
). (d) Correlation between cerebral blood perfusion changes (y-axis) and cortical thickness changes (x-axis) (r = 0.33, 
). (e) Correlation between cerebral blood perfusion changes (y-axis) and developmental cortical expansion (x-axis) (r = −0.38, 
) [125]. In (c), (d) and (e) maps are parcellated according to Schaefer-400 atlas [126].
doi: https://doi.org/10.1371/journal.pbio.3003277.g004