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. 2022 Jun 27;145(11):3953–3967. doi: 10.1093/brain/awac227

Table 1.

Network-based statistics results

Group t-test PreHD < Controls Cont < PreHD
Functional (114 ROIs) 0.672 0.6046
Structural (114 ROIsr) 0.3447 0.2384
Functional (structural constrained) 114 ROIsr 0.6072 0.5792
Functional (514 ROIsr) 0.4296 0.5976
Structural (514 ROIsr) 0.1504 0.4613
Functional (structural constrained) 514 ROIsr 0.2603 0.7998
Correlations Positive Negative
NFL–fMRI correlation (whole group) 114 ROIsr 0.0304* 1
NFL–fMRI correlation (preHD) 114 ROIsr 0.019* 0.6633
NFL–structural correlation (whole group) 114 ROIsr 0.191 0.391
NFL–structural correlation (preHD) 114 ROIsr 0.2523 0.1818
NFL–fMRI correlation (whole group) 514 ROIsr 0.0398* 0.6615
NFL–fMRI correlation (preHD) 514 ROIsr 0.027* 0.6478
NFL–structural correlation (whole group) 514 ROIsr 0.3177 0.0284*
NFL–structural correlation (preHD) 514 ROIsr 0.2919 0.023*

For these analyses, permutation testing using unpaired t-tests and 5000 permutations was performed on a general linear model that included age and sex as covariates. A test statistic was then computed for each connection and a default threshold applied (t = 3.1) to produce a set of suprathreshold connections that displayed significant between-group connectivity differences. *FWE-correction was applied at P = 0.05. Due to the high false positive rates in fMRI connectivity analyses73 the functional connectivity analysis was repeated, constraining the functional connectome by the structural. Here, the functional matrix was simply multiplied by the structural matrix to remove any functional connections that do not have supporting structural connections, and the NBS analysis repeated. ROIs = regions of interest.