high-performance and grid computing for neuroinformatics: egi, uo, and cerebral data systems allen...
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High-Performance and Grid Computing for Neuroinformatics:
EGI, UO, and Cerebral Data Systems
Allen D. Malony
University of Oregon
ProfessorDepartment of Computerand Information Science
DirectorNeuroInformatics Center
Computational Science Institute
Building Collaborations, OBA 2006 March 8, 2006High-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 2006 March 8, 2006High-Performance and Grid Computing for Neuroinformatics
Epilepsy
Epilepsy affects ~5.3 million peoplein 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 2006 March 8, 2006High-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 2006 March 8, 2006High-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 2006 March 8, 2006High-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 2006 March 8, 2006High-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 2006 March 8, 2006High-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 2006 March 8, 2006High-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