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. 2017 Aug 14;5:61. doi: 10.1186/s40478-017-0459-z

Fig. 2.

Fig. 2

Connectivity with the seed region better predicts regional tau pathology than does the regional expression level of tau aggregation and transcription promoting and noradrenergic neurotransmission related genes. a Connectivity with the seed region produced the best correlate with regional tau pathology severity data in seeded datasets. b A Multivariate Linear Model factoring out the individual contributions of connectivity proximity, seed region location, and the regional gene expression levels towards predicting regional tauopathic severity indicates that connectivity with the seed region is the most significant predictor, as indicated by the p-value threshold indicators within the bar chart. c Anatomic illustrations illustrate the above statistical analyses. Larger spheres correspond with more predicted pathology by each modeled, as labeled. The color and anatomic location legend to the right of the anatomic illustrations gives the sphere color and location corresponding to each major region in the brain. This color and location scheme is replicated throughout all anatomic illustrations in this paper. *** p < 0.001, ** p < 0.01, * p < 0.05