Skip to main content
. 2022 Jul 29;16:944432. doi: 10.3389/fnins.2022.944432

TABLE 5.

Leave-one-brain region out cross-validation of multiple linear regression analyses between DTI and histological parameters.

All brain regions cc layer V layer VI CA3b

R R R R R
AIMyelin 0.206 0.289 0.049 0.353 0.557
AIGFAP 0.226 0.030 0.097 −0.045 0.206
CD 0.157 −0.088 −0.217 −0.014 0.300
Average length −0.002 0.045 −0.223 −0.019 −0.050
Branches 0.154 −0.059 0.023 0.125 −0.071
Branch length 0.165 0.358 0.288 0.020 0.168
Slab voxels 0.165 0.055 0.032 −0.034 −0.456
Junction voxels 0.108 0.185 0.236 0.353 0.384
Junctions 0.107 −0.016 −0.063 0.132 0.441
Endpoint voxels 0.190 −0.016 0.039 0.020 0.228
Triple points 0.109 0.086 0.072 0.007 0.234
Quadruple points 0.070 −0.059 0.001 −0.022 0.242

Cross-validation by leaving-one-brain region out (R) revealed that the inclusion of the subfield CA3b was necessary for predicting histology based on DTI. AI, anisotropy index; CA, cornus ammonis; cc, corpus callosum; CD, cell density.