The primary aims of this research were to examine (1) mu and beta event-related desynchronization/synchronization (ERD/ERS) during motor imagery tasks with varying ment duration and (2) the potential impacts of ment duration on ERD/ERS patterns. Motor imagery tasks included brief and continuous imagined hand ments. During an imagery task, participants imagined an indicated ment for 1 s (i.e., brief ment imagery) or 5 s (i.e., continuous ment imagery). The results of the study support (1) that mu and beta ERD/ERS patterns are elicited during imagined hand ments and (2) that ment duration affects ERS and does not affect ERD patterns, during motor ment imagery. Additionally, brief ment imagery had a greater impact on mu and beta ERD; continuous ment imagery had a greater impact on mu and beta ERS. This research will be useful for designing future brain–computer interfaces as it provides valuable insight into the dynamics of electroencephalographic (EEG) oscillatory changes during motor imagery tasks with varying ment duration.
: Brain–computer interfaces (BCIs) have gained considerable interests by both research and industry communities who want to improve the quality of life for those who suffer from severe motor disabilities, such as amyotrophic lateral sclerosis (ALS), brainstem stroke, and cerebral palsy (CP). The results of this study should be applied to EEG-based BCI system design in order to enhance accuracy and classification performance for BCI system control.
The primary aims of this research were to examine (1) mu and beta event-related desynchronization/synchronization (ERD/ERS) during motor imagery tasks with varying ment duration and (2) the potential impacts of ment duration on ERD/ERS patterns. Motor imagery tasks included brief and continuous imagined hand ments. During an imagery task, participants imagined an indicated ment for 1 s (i.e., brief ment imagery) or 5 s (i.e., continuous ment imagery). The results of the study support (1) that mu and beta ERD/ERS patterns are elicited during imagined hand ments and (2) that ment duration affects ERS and does not affect ERD patterns, during motor ment imagery. Additionally, brief ment imagery had a greater impact on mu and beta ERD; continuous ment imagery had a greater impact on mu and beta ERS. This research will be useful for designing future brain–computer interfaces as it provides valuable insight into the dynamics of electroencephalographic (EEG) oscillatory changes during motor imagery tasks with varying ment duration.
: Brain–computer interfaces (BCIs) have gained considerable interests by both research and industry communities who want to improve the quality of life for those who suffer from severe motor disabilities, such as amyotrophic lateral sclerosis (ALS), brainstem stroke, and cerebral palsy (CP). The results of this study should be applied to EEG-based BCI system design in order to enhance accuracy and classification performance for BCI system control.