 For subject-by-subject alignment, using FG-W resulted in  alignment accuracy of 55 \pm 3 \% , whereas using CNN resulted in classification accuracy of 45%DIFDELCMD < \pm %%% 1 \%. Where in both cases 25 \%  represents chance.
<meaning-changed>  For subject-by-subject alignment, using FG-W resulted in  alignment accuracy of 55 \pm 3 \% , whereas using CNN resulted in classification accuracy of 45%DIFDELCMD < \pm %%% 1 \%. Where in both cases 25 \%  represents chance.
 For subject-by-subject alignment, using FG-W resulted in alignment accuracy of 55 \pm 3 \% , whereas using CNN resulted in classification accuracy of 45%DIFDELCMD < \pm %%% 2 \% for subject-by-subject alignment. In each of these cases, 25 \% represents chance.