Network spread determines severity of degeneration and disconnection in Huntington's disease
Human Brain Mapping Jun 19, 2019
Poudel GR, et al. - Via structural magnetic resonance imaging and high-angular resolution diffusion weighted imaging data to measure neural degeneration and disconnection in Huntington's disease (HD), the researchers intended to assess whether the network diffusion model could ascertain the severity of neural degeneration and disconnection in HD. Accurate prediction of the cortico-striatal spatial pattern of degeneration in HD was done via an eigenmode found in the healthy human brain connectome Laplacian matrix. Furthermore, the generation of a spatial pattern that represented the typical neurodegenerative characteristics in HD by the spread of neural degeneration from sub-cortical brain regions, including the accumbens and thalamus was observed. The white matter connections connecting the nodes with the highest amount of disease factors when diffusion-based disease spread is initiated from the striatum were concluded to be most vulnerable to disconnection in HD. Therefore, the pattern of gray matter degeneration and white matter disconnection that are trademarks of HD could be explained through the trans-neuronal diffusion of mutant huntingtin protein across the human brain connectome.
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