Increased Neurite Orientation-Dispersion and Density in the TgCRND8 Mouse Model of Amyloidosis: Inverse Relation with Functional Connectome Clustering and Modulation by Interleukin-6

Luis M. Colon-Perez; Kristen R. Ibanez; Mallory Suarez; Kristin Torroella; Kelly Acuna; Edward Ofori; Yona Levites; David E. Vaillancourt; Todd E. Golde; Paramita Chakrabarty; Marcelo Febo

Finally, to investigate the relationship between functional network metrics and DTI, free water and NODDI metrics we carried out correlation analyses. The first step involved normalization of dMRI metrics to their highest value and plotting these against modularity index, clustering coefficient, and node strength for each subject (Supplemental Figure 8) . The results indicated that only clustering coefficient correlated significantly with dMRI metrics, specifically NODDI metrics. The results from non-normalized NODDI data suggest that clustering coefficient is altered by the degree of orientation dispersion and neurite density (Figure 9 ). Low orientation dispersion or neurite density correlates with high clustering. We observed this relationship in the splenium (NDI: p = 0.006; ODI: p = 0.04), hippocampus (NDI: p = 0.004; ODI: p = 0.004), and cerebral peduncle (NDI: p = 0.0008) (Figure 9 ) but found no significant correlations in genu and anterior commissure (data not shown). The fimbria showed a nonsignificant trend (NDI: p = 0.05).