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.