Individuality Clinical Trial
Official title:
Non-Invasive Brain-Computer Interface for Virtual Object Control
A brain-computer interface (BCI) is a system that provides a separate output pathway for
neurological signals whereby they can be interpreted to determine the user's intended
cognitive action. Utilizing EEG-based sensorimotor rhythms (SMRs) generated in the motor
cortex has allowed subjects to control virtual computer cursors in up to three dimensions by
simply imagining the movement of a specified body part. Nevertheless, the scalp EEG signals
are smeared by the volume conduction effect and measurement noise. The overall hypothesis of
this study is that EEG-based virtual object control may help reveal optimal motor imagination
tasks best used in a BCI.
The PI's hypotheses include: (1) The use of advanced signal processing techniques will better
reveal characteristics of EEG signals that represent the underlying motor cognitive function
of the subject; (2) BCI systems based on SMR generated using motor imaginations will allow
effective control of a virtual object in real time; (3) EEG imaging techniques will provide
insight into the areas of cortical activation during a motor imagery task that can be
utilized to increase the spatial resolution of non-invasive BCI's.
The goal of the present study is to explore advanced signal processing techniques that will
better reveal characteristics of EEG signals that represent the underlying motor cognitive
function of the subject, and conduct experiments to better control an virtual object on the
computer screen including a cursor or a helicopter.
The primary objective of this study is to test the above hypotheses (1) and (2) in a healthy
subject population.This study will determine the ability of subjects with full cognitive
function to control a non-invasive brain-computer interface by imagining a particular
movement. Using non-invasive methods, we will investigate the neural processes that occur
during the motor imagination tasks associated with controlling a virtual object. Using a
variety of motor imaginations, we will determine which tasks are best used for BCI control by
quantitative means of BCI performance and neurological dynamic system analysis.
Subjects for this study will be healthy, English speaking adult volunteers (18-64 years old)
with no history of mental illness, neurological deficit, or traumatic brain injury.
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