Table 2.
Summary of the methods for comparison
| Method | Description |
|---|---|
| M3CC | The proposed M3CC method on multi‐modality multi‐center data. Totally, 303 regional morphological features and (roughly selected) 400 inter‐regional functional features were utilized. |
| M3CC ( = 0, = 0) | M3CC with = 0 and = 0, such that the task‐task and modality‐modality regularizations were disabled. |
| CSVC‐1 | C‐SVC in LibSVM. The image data from each center were treated separately. Linear kernel was adopted in CSVC. |
| CSVC‐4 | C‐SVC in LibSVM. The image data from four centers were combined and treated together. Linear kernel was adopted in CSVC. |
| M2SVC | Multi‐modal classification proposed by Zhang et al. [2011]. The image data from all centers were utilized together. No feature selection was involved. |
| LASSO+CSVC | All features were selected with LASSO. After that, the LibSVM implementation of C‐SVC was used for classification. |
| LeastL21 | The features of all modalities were first concatenated to generate a long feature vector. After that, the multiple task feature learning algorithm in the package of MALSAR1.1 was called with the function Least_L21(). Each image center corresponded to one task. |
| SCCA+LR | Run Yahata's method on multi‐modality data collected from multiple centers. According to Yahata et al. [2016], L1‐regularized sparse canonical correlation analysis was utilized to identify a small number of features and logistic regression utilized as classifiers. |
| SMMCC (SSV) | Run SMMCC on features of subcortical structure volumes. |
| SMMCC (GMV) | Run SMMCC on features of cortical GM volumes. |
| SMMCC (GMT) | Run SMMCC on features of mean cortical thickness. |
| SMMCC (WMV) | Run SMMCC on features of subcortical WM volumes. |
| SMMCC (BAV) | Run SMMCC on features of Brodmann area volumes. |
| SMMCC (BAT) | Run SMMCC on features of Brodmann area thickness. |
| SMMCC (T1) | Concatenate all the regional morphological features and run SMMCC on them. |
| SMMCC (fMRI) | Extract 400 features from rs‐fMRI features and run SMMCC on them. |
| MMSCC‐1 | Run MMSCC on each imaging center individually. |
| MMSCC‐4 | Run MMSCC on four imaging centers jointly. |