Abstract
Diffusion-weighted imaging of the brain allows the direct detection of water diffusion in the brain and, therefore, the imaging of white matter fibers. Thus, this imaging has become the preferential tool to investigate brain connectivity. In particular, thanks to the spread of accurate algorithms for fiber reconstruction, recent tractography studies outlined how neurodegenerative diseases such as Alzheimer's disease (AD) would affect the brain. Tractography studies use the graph theory mathematical framework to characterize how different anatomical regions are connected within the brain. In addition, it is possible to investigate the number of connections and their intensity, the brain organization, and the information flow. Results demonstrate that AD is a disruption disease, in that it impairs the brain connectivity and its organization. Future research goals are to summarize this information and eventually combine it with other imaging sources into a robust framework for early diagnosis of AD.
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