Dr. Don Tucker, Electrical Geodesics Inc. and University of Oregon
The CIBC, in close collaboration with Dr. Don Tucker, is seeking to improve EEG-based source localization through new computational methods and tools. In both research and clinical practice, EEG is a cost-effective tool for understanding brain activity. Although functional magnetic resonance imaging (fMRI) and positron emission tomography (PET) provide high spatial resolution, their temporal resolution is limited. They are also both based on indirect measures of neurophysiological activity such as metabolic changes. EEG is directly sensitive to the underlying neural sources. Its temporal resolution is limited only by the sampling rate; however its spatial resolution is assumed to be poor, even compared to PET. In fact, the spatial resolution of the human EEG remains unknown because the limits of electrical source reconstruction have not been tested with adequate measurement technology.
Advances in EEG technology now include fast, robust, dense (256-channel) arrays, exact sensor position measurement, and EEG source localization methods. These advances have significantly improved the spatial resolution of source estimates with EEG and may promise accurate monitoring of cortical activity in both space and time. By itself, high-resolution EEG would be affordable even for small hospitals in remote locations and could be easily managed by technicians in the field.
Dr. Tucker and his co-workers at University of Oregon and Electrical Geodesics, Inc. (EGI) are pioneers in the development of dense array EEG technology (which they refer to as "dEEG"). Their systems are in use in over 400 locations around the world. These 400+ laboratories examine a diverse range of scientific and clinical applications of dEEG. Many of these developments would directly benefit from the advances possible in this project.
CIBC is working with Dr. Tucker to improve near-term translational uses of EEG-based source localization, moving closer to determining the true resolution possible with EEG, and improving the capabilities of our other neuroscience collaborators.
Using Image-Based Modeling, Simulation, Estimation, and Visualization, the CIBC and Dr. Tucker are comparing structured and unstructured meshing, improving the accuracy of our EEG inverse solutions, implementing multi-model visualization software, and developing an enhanced platform for reproducible comparisons of forward and inverse methods for EEG source localization. The Center’s existing software (Seg3D for segmentation; BioMesh3D for the meshing pipeline; the estimation and simulation modules in SCIRun; and ImageVis3D, our premier visualization package) will enable the comparison of different approaches to inverse solution accuracy.
Driving Biological Projects
Image-Based Small-Animal Phenotyping
Collaborating Investigators: Charles Keller, MD, University of Texas Health Science Center at San Antonio
Simulation of Cardiac Defibrillation
Collaborating Investigators: John Triedman, MD, Children's Hospital Boston Matt Jolley, MD, Stanford University Natalia Trayanova, John's Hopkins University Tom Pilcher, University of Utah
Image-based Management of Atrial Fibrillation
Collaborating Investigators: Nassir Marrouche MD, Chris McGann MD
Simulation of Deep Brain Stimulation
Collaborating Investigator: Christopher R. Butson, Ph.D., Medical College of Wisconsin
Statistical and Biomechanical Analysis of Hip Dysplasia
Collaborating Investigators: Dr. Jeffrey Weiss, Dr. Andrew Anderson
Bayesian Source Imaging of Pediatric Epilepsy
Collaborating Investigator: Simon Warfield, Director of the Computational Radiology Laboratory
Simulation of Electric Stimulation for Bone Growth
Collaborating Investigators: Roy Bloebaum, Brad Isaacson
High-Resolution Source Imaging From EEG
Collaborating Investigator: Dr. Don Tucker, Electrical Geodesics Inc. and University of Oregon