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. 2019 Nov 5;41(4):917–927. doi: 10.1002/hbm.24849

Figure 1.

Figure 1

Overview of the processing pipeline. Based on diffusion‐weighted images, probabilistic tractography was conducted. This yielded a white matter network connectivity matrix, from which we computed network measures of modularity, distance, and local information transfer. Reconstructed from T1‐weighted images, cortical thickness and deep gray matter volume of regions of interest was estimated. Finally, we set gray matter integrity and white matter network measures into relation with parameters of physical disability and cognitive impairment. Abbreviation: ROI, region of interest