Table 1.
Subject demographics.
Fig 1.
The flowchart of data fusion in this paper.
Fig 2.
(A) Results of four kinds of measures with all components of fMRI. For visualization, the y label is -log10(p) rather than the p value. (B) 16 ROIs have the smallest p value for fMRI measure. (C) 9 ROIs have the smallest p value for sMRI measure. (D) 10 ROIs have the smallest p value for DTI measure. (E)55 ROIs have the smallest p value for fusion measure.
Fig 3.
(A) Results of four kinds of measures with the 5 principle components of fMRI. For visualization, the y label is -log10(p) rather than the p value. (B) 10 ROIs have the smallest p value for fMRI measure. (C) 4 ROIs have the smallest p value for sMRI measure. (D) 0 ROIs have the smallest p value for DTI measure. (E) 76 ROIs have the smallest p value for fusion measure.
Fig 4.
ROC curves of different modalities, for all components of fMRI (A) and for the first 5 components of fMRI (B). The Jaccard similarity coefficient (C) and Kappa index (D) for six different comparison.
Table 2.
Discrimination accuracy of four kinds of measures.
Fig 5.
Goodness of fit for different measures with all components in fMRI (A) and the first 5 principle components in fMRI (C). The contribution of fMRI, sMRI, DTI to fusion data with all components in fMRI (B) and the first 5 components in fMRI (D).