Study overview
Brain-computer interfaces (BCI) measure brain activity with e.g. electroencephalography, analyse it directly in real time and return a signal about brain activity that can be used for various purposes. BCIs can be used, for example, to enable paralysed patients to control a wheelchair, but also for motor and cognitive rehabilitation, e.g. after a stroke. For BCIs, mental imagery tasks can be used through which different brain states can be recognised by the computer and distinguished by BCI algorithms. These mental imagery tasks are performed in the mind but do not result in overt behaviour: One imagines a hand or foot movement without actually moving the limbs. Currently, BCIs based on EEG are being tested in research. Research such as the ARC-BCI study is needed to finally bring BCIs into everyday life and be of use to the general population. By participating in this study, you are contributing to our understanding of the potential benefits of BCIs and to the development of clinical treatments for clinical neuropsychology.
What you will do?
You will perform two different mental imagery tasks while your brain activity is measured with electroencephalography. at the same time you will recieve real-time feedback on how well the computer can recognise which task you are performing.