Before revision:  Our method is applicable to any spatial filtering algorithm . Despite high model variability, it allows capturing and monitoring relevant oscillatory features . We foresee its application in closed-loop applications such as brain-computer interface based protocols in stroke rehabilitation.
After revision:  Our method is applicable to any spatial filtering algorithm , it could be utilized for a wide range of neurotechnological applications, e.g., to select and monitor functionally relevant features for brain-computer interface based protocols in stroke rehabilitation.