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Study of Advanced EEG and MEG Brain Activity Recording Using a High-Density 256 Dry Electrode Cap and Fast Brain Modeling Software
Led by Worcester Polytechnic Institute · Updated on 2025-05-28
30
Participants Needed
2
Research Sites
N/A
Total Duration
AI-Summary
What this Trial Is About
This clinical trial is designed to evaluate whether a new advanced 256 dry electrode EEG cap combined with MEG readings and a high-resolution fast brain modeling software improves real-time localization of brain activity. Researchers aim to determine if this testbed better identifies brain sources related to finger movement, median nerve stimulation, and speech processing by comparing predicted brain locations with MEG data and known anatomical sites. The study involves healthy adult volunteers and focuses on brain source localization accuracy. Participants will undergo high-resolution Magnetic Resonance Imaging MRI scans of the brain and head to create detailed models. They will then complete multiple EEG and MEG recording sessions using the 256 dry electrode cap. Tasks include right-hand index finger tapping, electrical stimulation of the median nerve at the wrist with button press responses using the left hand, and listening to German sentences while completing a semantic task. Each task will be repeated in sets of trials to collect brain activity data. During the study, participants will have brain imaging and electrical activity measured through MRI, EEG, and MEG over about one year. The trial will monitor brain responses to each task to evaluate the accuracy of the new testbed in identifying specific brain regions. Researchers will assess the quality of source localization and gather data on cortical activity patterns. The entire participation involves repeated tests and imaging to compare the new method with established anatomical and functional brain data.
CONDITIONS
Brief Title
Development of Electroencephalography (EEG) and Magnetoencephalography (MEG) Source Reconstruction With Fast Multipole Method
Research Team
S
Sergey N Makaroff, PhD
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