Selected article for: "correlation analysis and cross correlation"

Author: 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
Title: Increased Neurite Orientation-Dispersion and Density in the TgCRND8 Mouse Model of Amyloidosis: Inverse Relation with Functional Connectome Clustering and Modulation by Interleukin-6
  • Document date: 2019_2_27
  • ID: hyeygk64_34
    Snippet: The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. . https://doi.org/10.1101/562348 doi: bioRxiv preprint used in voxel-wise cross correlation to generate Pearson correlation maps and 4005 pairwise correlation coefficients to be imported to MATLAB as edge weights for network analysis. All correlation r values are z transformed prior to statistical analyses. For seed-based resting state fMRI analysis of cort.....
    Document: The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. . https://doi.org/10.1101/562348 doi: bioRxiv preprint used in voxel-wise cross correlation to generate Pearson correlation maps and 4005 pairwise correlation coefficients to be imported to MATLAB as edge weights for network analysis. All correlation r values are z transformed prior to statistical analyses. For seed-based resting state fMRI analysis of cortical and memory structures, connectivity maps of somatosensory cortex, hippocampus, and entorhinal cortex were generated for each subject (Supplemental Figure 2) and analyzed using a multivariate modeling approach in Analysis of Functional Neuroimages (AFNI 3dMVM) (Cox, 1996) . All group statistical maps for main effects and full factorial interactions were FDR corrected (Chen et al., 2014) .

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