Mapping cerebral blood perfusion and its links to multi-scale brain organization across the human lifespan
Fig 2
Areal organization of blood perfusion.
(a) Normative blood perfusion map on lateral and medial views of the inflated and 2D flat cortical surfaces (fsLR). Borders and areal names of the multi-modal Glasser parcellation are overlaid on the flat surface [86]. The figure highlights the non-uniform distribution of perfusion scores across the cortex, with areas that have sharp gradient compared to their underlying perfusion score levels (e.g., LIPv and MT/MST) (see S1 and S2 Tables). (b) Subcortical perfusion is shown on a T2-weighted group average template. Quantification of perfusion scores according to the Tian-S4 subcortical parcellation is shown in S7 Fig [87]. A complete list of subcortical parcels is provided in S3 Table. (c) Correlations between perfusion (y-axis) and measurements of energy consumption (x-axis). Left: Correlation with glucose consumption (; r = 0.74,
) [30]. Middle: Correlation with oxygen consumption (
; r = 0.62,
) [30]. Right: Correlation with resting-state functional MRI connectivity strength (a measure of “hubness”) (r = 0.52,
; see Methods for more details). (d) The transcriptomic signature of cortical layer IV [88] is positively correlated with perfusion (r = 0.52,
). We do not find correspondence between blood perfusion and transcriptomic signature of supragranular (I–III) and infragranular (V–VI) cortical layers (S8 Fig).