High-Performance and Grid Computing for Neuroinformatics: EGI, UO, and Cerebral Data Systems Allen D. Malony University of Oregon Professor Department of Computer and Information Science Director NeuroInformatics Center Computational Science Institute

Building Collaborations, OBA 2006March 8, 2006 High-Performance and Grid Computing for Neuroinformatics Computer / Computational Science Collaborations  Increasing importance of computer science and computational science in Oregon science industry  Build on research strengths in Oregon’s universities  High-performance, parallel, and grid computing  Informatics, database and data mining, semantic web  Computational science  Open source technologies  Leverage Oregon’s strong high-tech computer industry  Need to build the bridges for computer / computational science transfer to science industry  Research / business partnerships for technology transfer  Infrastructure investment

Building Collaborations, OBA 2006March 8, 2006 High-Performance and Grid Computing for Neuroinformatics Epilepsy  Epilepsy affects ~5.3 million people in the U.S., Europe, and Japan  EEG in epilepsy diagnosis  Childhood and juvenile absence  Idiopathic (genetic)  Can be “generalized” or multifocal  EEG in presurgical planning  Fast, safe, inexpensive  128/256 channels  Challenge is to localize seizure onset and networks

Building Collaborations, OBA 2006March 8, 2006 High-Performance and Grid Computing for Neuroinformatics EEG Methodology  Electroencephalogram (EEG)  EEG time series analysis  Event-related potentials (ERP)  averaging to increase SNR  linking brain activity to sensory–motor functions  linking brain activity to cognitive functions  Signal cleaning (removal of noncephalic signal, “noise”)  Signal decomposition (PCA, ICA, and other methods)  Neural source localization

Building Collaborations, OBA 2006March 8, 2006 High-Performance and Grid Computing for Neuroinformatics Electrical Geodesics Inc. (EGI)  EGI Geodesics Sensor Net  Dense-array sensor technology  64/128/256 channels  256-channel geodesics sensor net  AgCl plastic electrodes  Carbon fiber leads  Net Station  Advanced EEG/ERP data analysis  Stereotactic EEG sensor registration  Research and medical services  Epilepsy diagnosis, pre-surgical planning

Building Collaborations, OBA 2006March 8, 2006 High-Performance and Grid Computing for Neuroinformatics EGI in the Press Explores cutting-edge brain-imaging techniques and equipment that are helping researchers learn more about the mind. One research group is using EGI's Geodesic Sensor Net (GSN) to study the brain while it is in various meditative states. Researchers are using EGI's Geodesic Sensor Net (GSN) and other technologies to learn more about what the infant brain perceives.

Building Collaborations, OBA 2006March 8, 2006 High-Performance and Grid Computing for Neuroinformatics UO Brain, Biology, and Machine Initiative  Interdisciplinary and collaborative research  cognitive neuroscience, biology, physics, computer science  Focus on human neuroscience problems  Understanding of cognition and behavior  Relation to anatomy and neural mechanisms  Linking with molecular analysis and genetics  Created Neuroinformatics Center (NIC)  Informatics and computational methods  Integrated neuroimaging  advanced statistical signal analysis (PCA, ICA)  computational brain models (FDM, FEM)  source localization models (dipole, linear inverse)  Internet-based brain analysis and database services

Building Collaborations, OBA 2006March 8, 2006 High-Performance and Grid Computing for Neuroinformatics UO ICONIC Grid  NSF Major Research Instrumentation (MRI) proposal  “Acquisition of the Oregon ICONIC Grid for Integrated COgnitive Neuroscience Informatics and Computation”

Building Collaborations, OBA 2006March 8, 2006 High-Performance and Grid Computing for Neuroinformatics Cerebral Data Systems  Partnership between EGI and University of Oregon  Develop and market neuroinformatics services  Neurological medical data transfer, storage, and analysis  High-performance and sophisticated EEG and MR analysis  Telemedicine and distributed collaboration  Shared brain repositories  Target markets  Research and clinical  Epilepsy diagnosis and pre-surgical planning  MR image segmentation  Technology integration  Internet and computional grids  High-performance computing