Figure 1.
A. Automated parcellation of 21 cortical and subcortical ROIs for GM measurement, performed by Freesurfer software. B. Automated parcellation of 20 deep WM ROIs for DTI measurement, performed by SPM8.
Table 1.
Subjects and clinical characteristics.
Figure 2.
Mean differences of the DTI and GM measures between MCI and control.
A. Mean differences and standard errors of regional DTI and GM measures, expressed as Z-scores, between MCI patients and controls for each ROI. Abbreviations:CC = corpus callosum; Post. CG = posterior cingulum; Isth. CG = isthmus cingulum; FX-ST = fornix (cres) and stria terminalis; IFO = inferior fronto-occipital fasciculus; SLF = superior longitudinal fasciculus; ILF = inferior longitudinal fasciculus. B. Mean differences and standard errors of regional DTI and MRI measures between aMCI, naMCI group and controls for each ROI. DTI and GM measures in ROIs with significant heterogeneities between aMCI and naMCI groups were labeled as “#”.
Figure 3.
The correlations between DTI and GM volumes in MCI patients.
The p value maps of the Pearson's correlation between DTI values and GM volumes. The green and warmer colors indicate significant correlations.
Figure 4.
Classification accuracies based on DTI and GM volume measures.
Receiver operator characteristic curves of classifications of MCI and control subjects based on DTI and GM volume measures used separately or together.
Table 2.
Group classifications based on either DTI or GM volume measures separately or used together.
Figure 5.
Accuracies of predicting cognitive scores based on DTI and GM volume measures.
Distribution of root mean square errors in predicting MMSE and CVLT based on FA, DR or GM volume measures.