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The goal of this clinical trial is to learn if an advanced 256 dry electrode EEG cap augmented with MEG readings and coupled with a new high-resolution fast brain modeling software gives a better EEG and MEG source localization in real time. The main questions it aims to answer are:
Participants will:
Full description
Magnetic Resonance Imaging (MRI) head/neck scans of 30 healthy subjects using the 7 Tesla Siemens Scanner will be performed at the Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig Germany with 0.5/0.7 mm isotropic resolution, for both T1 and T2 imaging sequences. Construction of computational head models from the MRI data using FreeSurfer and Charm segmentation software packages will be performed at Worcester Polytechnic Institute.
On-skin voltage recordings will be done with 256 dry electrodes. Our EEG protocols will collect 240 trials per subject (3 runs of 80 trials each). German volunteers will be tapping with their right hand index finger. The corresponding neuronal generators are located in the M1INDEXFINGER/S1INDEXFINGER areas (primary motor/somatosensory cortex) at different latencies.
On-skin voltage recordings will be done with 256 dry electrodes. Our EEG protocols will collect 240 trials per subject (3 runs of 80 trials each). .Electrical stimuli over the median nerve at the right wrist will be delivered using brief transcutaneous pulses every 1.5 seconds. The task is to respond to each stimulus by pushing a button with the left-hand index finger. This generates EEG evoked responses in the S1HAND area (primary somatosensory cortex contralateral to the nerve stimuli), and the M1HAND area (primary motor cortex) at different latencies. The P20/N20 response peaking at about 20 ms is targeted, since at this latency its neuronal generators are well-known to be located in the posterior wall of the central sulcus in the Brodmann area 3b.
On-skin voltage recordings will be done with 256 dry electrodes. Our EEG protocols will collect 240 trials per subject (3 runs of 80 trials each). German sentences will be played to the volunteers and the volunteers have to fulfill a semantic task. This generates EEG evoked responses in the known areas of the Primary Auditory Cortex (PAC).
On-skin voltage recordings will be done with 256 dry electrodes. Our MEG protocols will collect 240 trials per subject (3 runs of 80 trials each). German volunteers will be tapping with their right hand index finger. The corresponding neuronal generators are located in the M1INDEXFINGER/S1INDEXFINGER areas (primary motor/somatosensory cortex) at different latencies.
On-skin voltage recordings will be done with 256 dry electrodes. Our MEG protocols will collect 240 trials per subject (3 runs of 80 trials each). Electrical stimuli over the median nerve at the right wrist will be delivered using brief transcutaneous pulses every 1.5 seconds. The task is to respond to each stimulus by pushing a button with the left-hand index finger. This generates MEG evoked responses in the S1HAND area (primary somatosensory cortex contralateral to the nerve stimuli), and the M1HAND area (primary motor cortex) at different latencies. The P20/N20 response peaking at about 20 ms is targeted, since at this latency its neuronal generators are well-known to be located in the posterior wall of the central sulcus in the Brodmann area 3b.
On-skin voltage recordings will be done with 256 dry electrodes. Our MEG protocols will collect 240 trials per subject (3 runs of 80 trials each). German sentences will be played to the volunteers and the volunteers have to fulfill a semantic task. This generates EEG evoked responses in the known areas of the Primary Auditory Cortex (PAC).
The main questions it aims to answer are:
Does the proposed high-resolution testbed better localize brain sources for finger movement?
Does the proposed high-resolution testbed better localize brain sources for median nerve stimulation?
Does the proposed high-resolution testbed better localize brain sources for speech processing?
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30 participants in 1 patient group
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Sergey N Makaroff, PhD
Data sourced from clinicaltrials.gov
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