Medaglia JD, et al. – Aim of this study is to apply network–based statistics to diffusion–weighted imaging tractography data and detect Alzheimer disease vs non–Alzheimer degeneration in the context of the corticobasal syndrome. The outcomes demonstrate that compared to regional gray matter density alone, the underlying pathologic sources of the corticobasal syndrome can be classified more accurately using graph theoretical statistics derived from patterns of white matter network organization in association cortex. These results underscore the importance of a multimodal neuroimaging approach to diagnostic analyses of the corticobasal syndrome.