The purpose of this study is to investigate brain signals relating to motor function, using electroencephalography (EEG) technology. The aims of the study can be separated into 3 specific study objectives: 1. Record EEG data from control participants and individuals with stroke during basic motor tasks and build a database of EEG signals to enable analysis of motor control. 2. Apply signal processing algorithms to extract EEG features related to motor control. 3. Develop a framework/the motor score (M-Score) that uses the EEG signals, in combination with machine learning approaches, to quantify motor control ability.
Study Type
OBSERVATIONAL
Enrollment
22
Non-invasive brain activity will be measured with electroencephalography (EEG). EEG uses scalp sensors to monitor the brain's electrical activity. EEG sensors are placed on the scalp and passively record neural activity with high time resolution.
HealthTech Connex Centre for Neurology Studies
Surrey, British Columbia, Canada
Resting state EEG measures
EEG uses scalp sensors to monitor the brain's electrical activity. EEG sensors are placed on the scalp and passively record neural activity with high time resolution. The principal recording system for this study will be a 32-channel g.Nautilus EEG system (g.tec medical engineering). Secondary recording systems may be used: 8-channel g.Nautilus EEG system (g.tec medical engineering) and 64-channel, high-density BrainAmp EEG system (BrainProducts).Participants will be seated while wearing the EEG cap and asked to sit quietly with either eyes open (with a fixation dot or cross to reduce eye movements) or eyes closed. Resting state recordings will be approximately 5-10 minutes in length.
Time frame: 1 day
Motor task EEG measures
While completing EEG scans, participants will be asked to execute simple motor movements. . Study will focus on finger tapping task (with mouse-like button for recording movement timing). Participants will be asked to complete self-paced movements with approximately 10-15 second inter-trial spacing. Recording will occur in two-minute intervals, followed by a rest period, repeated until approximately 40 trials have been collected. Other motor movements, such as flexion of the upper limbs or flexion of the lower limbs, may also be considered. During EEG recordings changes in motor oscillations (alpha, beta, \& gamma range) will be analyzed. During EMG recordings, muscle tonicity/spasticity and functional firing patterns will be analyzed.
Time frame: 1 day
Imagery task EEG measures
During EEG recording participants could be asked to engage in mental imagery of motor movements stated above. Here, potential changes in oscillatory patterns in the motor cortex will be measured and detected.
Time frame: 1 day
Wolf Motor Function Test
The Wolf Motor Function Test (WMFT) quantifies upper extremity motor ability using timed functional tasks.
Time frame: 1 day
Fugl-Meyer Assessment
The Fugl-Meyer Assessment (FMA) is a performance-based impairment index designed to assess motor functioning, balance, sensation and joint functioning in patients with post-stroke hemiplegia.
Time frame: 1 day
Box-and-Block Test
This test is used to quantify the gross manual dexterity of each hand and arm.
Time frame: 1 day
Nine-Hole Peg Test
This test is used to quantify the fine manual dexterity of each hand and arm.
Time frame: 1 day
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