Before revision:  (i) Most domain adaptation  methods are designed for labeled source and unlabeled target domain whereas BCI tasks generally have multiple annotated domains. (ii) Most of the existing methods do not consider a negative transfer to disrupt generalization ability.
After revision:  (i) Most domain adaptation methods are prone to negative transfer that disrupts learning generalized feature representations, applicable to diverse domains, e.g., subjects or sessions in BCIs.