It is now possible to continuously record the brain's electromagnetic field from sixty or more scalp locations and concurrently to record brain blood flow or oxygenation level changes at tens of thousands of mm3 sized brain volume elements. Methods are needed to analyze this wealth of data and to separate out machine noise and physiological artifacts to examine functionally independent brain processing systems.
The aims of the proposal are threefold: (1) To test the feasibility of concurrent functional magnetic resonance imaging (fMRI) and high density encephalographic (EEG) recording during performance of simple and complex cognitive tasks; (2) To test applications of Independent Component Analysis (ICA) to concurrent fMRI and EEG data, first separately, by comparing the resulting fMRI source distributions with EEG source distributions derived from the ICA results using currently available EEG source localization approaches, and then jointly, by directly comparing the time courses of changes in fMRI activation and in the EEG frequency power spectrum; and (3) To develop, test, document and distribute a software toolbox, based on the widely-used MATLAB signal processing environment, for carrying out the analyses we envision and visualizing the results. The tools, which will be written for the widely available MATLAB environment, will allow researchers to decompose concurrently or separately recorded EEG and fMRI data into spatially and/or temporally independent components, and to evaluate their relationships to concurrent measures of task performance or other physiology and behavior. The analysis of electrophysiological and functional imaging data in both time and time/frequency domains will allow researchers to determine and evaluate relationships between ongoing or event-related changes in electrophysiology, hemodynamics and behavior and perform exploratory and hypothesis drive analyses on human brain data from both basic and clinical studies of human brain and cognitive function.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH061619-03
Application #
6539113
Study Section
Diagnostic Imaging Study Section (DMG)
Program Officer
Huerta, Michael F
Project Start
2000-05-15
Project End
2003-07-31
Budget Start
2002-05-01
Budget End
2003-07-31
Support Year
3
Fiscal Year
2002
Total Cost
$426,825
Indirect Cost
Name
Salk Institute for Biological Studies
Department
Type
DUNS #
005436803
City
La Jolla
State
CA
Country
United States
Zip Code
92037
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McKeown, Martin J; Hansen, Lars Kai; Sejnowsk, Terrence J (2003) Independent component analysis of functional MRI: what is signal and what is noise? Curr Opin Neurobiol 13:620-9
Jung, T P; Makeig, S; Westerfield, M et al. (2001) Analysis and visualization of single-trial event-related potentials. Hum Brain Mapp 14:166-85