Fig. 4: Low-dimensional gradient activity relationship with structure-function components.
From: Functional network collapse in neurodegenerative disease
A Gradient spatial weight maps based on PCA of fMRI timeseries data from the independent cognitively normal cohort (n = 321). Weights represent PCA loadings. B Statistical variance explained in each PLSR functional component by individual gradient temporal variances (e.g., 1-1, 2-2) and gradient pair temporal covariances (e.g. 1-2, 2-3). Insets show PLSR component functional connectivity (FC) edge weight matrices. C–F Select gradient timeseries and associated FC differences. C, D Gradient 1 temporal variance, Gradient 1-4 covariance, and FC differences for two subjects with low or high overall mean atrophy. E Gradient 1-2 covariance and FC differences for two subjects with right parietal or left anterior temporal atrophy. F Gradient 2 temporal variance and FC differences for two subjects with posterior temporal or frontal atrophy. VIS visual, SM sensory-motor, DA dorsal attention network, AUD auditory; HIP: hippocampal, PHC parahippocampal, AMY amygdala, CO cingulo-opercular, SAL salience, AT anterior temporal, FPl left fronto-parietal, DMN default mode network, FPr right fronto-parietal, SUB subcortical.
