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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 Instit

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Page 1: High-Performance and Grid Computing for Neuroinformatics: EGI, UO, and Cerebral Data Systems Allen D. Malony University of Oregon Professor Department

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

Page 2: High-Performance and Grid Computing for Neuroinformatics: EGI, UO, and Cerebral Data Systems Allen D. Malony University of Oregon Professor Department

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

Page 3: High-Performance and Grid Computing for Neuroinformatics: EGI, UO, and Cerebral Data Systems Allen D. Malony University of Oregon Professor Department

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

Page 4: High-Performance and Grid Computing for Neuroinformatics: EGI, UO, and Cerebral Data Systems Allen D. Malony University of Oregon Professor Department

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

Page 5: High-Performance and Grid Computing for Neuroinformatics: EGI, UO, and Cerebral Data Systems Allen D. Malony University of Oregon Professor Department

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

Page 6: High-Performance and Grid Computing for Neuroinformatics: EGI, UO, and Cerebral Data Systems Allen D. Malony University of Oregon Professor Department

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.

Page 7: High-Performance and Grid Computing for Neuroinformatics: EGI, UO, and Cerebral Data Systems Allen D. Malony University of Oregon Professor Department

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

Page 8: High-Performance and Grid Computing for Neuroinformatics: EGI, UO, and Cerebral Data Systems Allen D. Malony University of Oregon Professor Department

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”

Page 9: High-Performance and Grid Computing for Neuroinformatics: EGI, UO, and Cerebral Data Systems Allen D. Malony University of Oregon Professor Department

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