MVB model-based classification performance compared to GLM and SVM for single and multiple trials.

* indicates that the MVB method using VE and PE (VE & PE) contrast map has significantly higher accuracy compared to the other methods at each trial (*p<0.05, **p<0.01, ***p<0.001). Mean ± Standard deviation. Accuracy in %. † indicates a tendency of difference between MVB (VE-PE) and MVB (VE & PE) (p = 0.06).* 表示在每一次试验中，采用VE与PE（VE & PE）对比图的MVB方法，其准确率均显著高于其余所有方法（*p<0.05，**p<0.01，***p<0.001）。结果以平均值±标准差（Mean ± Standard deviation）呈现，准确率单位为百分比（%）。† 表示MVB (VE-PE) 与 MVB (VE & PE) 之间存在差异趋势（p = 0.06）。