 Result demonstrate that the data-driven method presented in this study can improve identifiability in resting-state functional connectomes in multi-site studies.
<meaning-changed>  Result demonstrate that the data-driven method presented in this study can improve identifiability in resting-state functional connectomes in multi-site studies.
 Post-hoc analyses assessed the effect of the number of fMRI volumes on identifiability and showed that multi-site differential identifiability was for all cases maximized after optimal reconstruction. The generalizability of the optimal set of orthogonal basis of each dataset was evaluated through a leave-one-out procedure. Overall, results demonstrate that the data-driven method presented in this study can improve identifiability in resting-state functional connectomes in multi-site studies.