Evaluation of Magnetoencephalography Protocols and Software
Study ID: STU 062018-037
Brain activity of healthy volunteers or patient volunteers will be recorded using MeG research acquisition protocols, and/or software. The data from these research acquisitions will be collected and assessed for image quality and diagnostic value. new MeG techniques/protocols for use on clinical patients will then be developed. a total of 1000 subjects are estimated to be recruited into this study over 10 years. Participation in this study consists of a single MeG scan. However, participants may volunteer multiple times under this protocol. Subjects may additionally complete an MRi or eeG for comparison to the MeG scan. Study subjects may withdraw from the study at any time on their own decision.
Subjects of all races and ethnic origins, children and adults, 1 month to 90 years will be recruited.
Magnetoencephalography (MeG) is a relatively new imaging technology for which techniques and processing tools are still being developed to improve the quality and diagnostic value of MeG. MeG is a completely passive and non-invasive form of functional brain imaging that is capable of detecting the magnetic fields associated with neuronal activity with millisecond timescale resolution. MeG is unique from other imaging methods because the data is recorded in sensor space. Complex algorithms are used to visualize the sensor space data in the subject's brain MRi (brain space). Patient position, protocol timing, physiological functions (heart rate, respiration, etc.), and many other factors influence the accuracy of these algorithms. To control for these variables, MeG specific electrooculogram, eCG, and/or electromyogram are used to measure patient eye movement, heart rate, and muscle movement.