Fig. 2: The local gradient maps and group-level parcellations of HCP-D dataset.
From: Development of areal-level individualized homologous functional parcellations in youth
a Age-related local gradient maps computed by averaging individual local gradient maps after co-registering, as described in Wang et al.29. Only the left hemisphere is shown for visualization purposes; parcellations in right hemisphere are also identified, as shown in Supplementary Fig. 4a. b Age-related fine-grained parcellations were derived from local gradient maps, task-fMRI and RSFC patterns using the gwMRF (right hemisphere are shown in Supplementary Fig. 4c). c Mean intersubject variability of functional connectivity based on age-related and age-independent group-level parcellations was averaged within each age group, corrected by regressing out the mean intrasubject variability. Right hemisphere’s intersubject functional connectivity variability is shown in Supplementary Fig. 4d. d Task-related inhomogeneity, measured by the standard deviation of task fMRI activation within each parcel, was compared between gwMRF and our task-constrained gwMRF age-related parcellations20. Lower task-related inhomogeneity indicates higher functional homogeneity. Distribution of data points was represented as each individual’s task-related inhomogeneity. Statistical significance assessed using a two-tailed paired t-test, *P < 0.001. y, year.
