The proposed experimental, simulation, and theoretical EEG studies will develop modern engineering tools for future use by cognitive and medical scientists. These tools are potentially applicable to a wide variety of disease states, including mental disorders (ADHD, depression, schizophrenia, depression, sleep disorders, etc.) and neurological conditions (epilepsies, head trauma, strokes, coma, Alzheimer's disease, etc.). The proposed tools combine high-resolution EEG with MEG and new methods to quantify dynamic (spatial-temporal) properties of EEG and steady-state visually evoked potentials (SSVEP). Experimental studies will apply high-resolution SSVEP dynamic measures to investigate conscious perception, selective attention, perceptual organization, and working memory. Methods to identify genuine measures of functional integration between cortical areas will be developed and tested with high-resolution SSVEP. SSVEP provides robust measures of neocortical dynamic and cognitive function that are largely artifact-free. SSVEP measures of the """"""""competition"""""""" between functional localization and integration will include coherence and other phase locking measures in various frequency bands. The experimental SSVEP data will be interpreted in the context of cell assembly formation embedded within a background of """"""""synaptic action fields"""""""" using theoretical models of neocortical dynamic function based on genuine physiology and anatomy. The synaptic action fields are defined as the number densities of active excitatory and inhibitory synapses at any time, independent of function. This theoretical construct provides the necessary connection between physiology and EEG/SSVEP data. In this manner, a triple correspondence between EEG dynamics, cognitive processes, and theoretical models will be obtained. The EEG and SSVEP tools developed in these studies should provide firm foundations for later studies applied to a wide range of specific cognitive or medical conditions. These tools will be freely distributed as software for high-resolution EEG, SSVEP, and MEG analysis with a supporting manual and examples ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH068004-03
Application #
7013161
Study Section
Special Emphasis Panel (ZRG1-SSS-E (95))
Program Officer
Cavelier, German
Project Start
2004-01-01
Project End
2007-12-31
Budget Start
2006-01-01
Budget End
2007-12-31
Support Year
3
Fiscal Year
2006
Total Cost
$557,257
Indirect Cost
Name
University of California Irvine
Department
Psychology
Type
Schools of Arts and Sciences
DUNS #
046705849
City
Irvine
State
CA
Country
United States
Zip Code
92697
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Nunez, Paul L; Srinivasan, Ramesh; Fields, R Douglas (2015) EEG functional connectivity, axon delays and white matter disease. Clin Neurophysiol 126:110-20
Huang, Ming-Xiong; Huang, Charles W; Robb, Ashley et al. (2014) MEG source imaging method using fast L1 minimum-norm and its applications to signals with brain noise and human resting-state source amplitude images. Neuroimage 84:585-604
Horton, Cort; Srinivasan, Ramesh; D'Zmura, Michael (2014) Envelope responses in single-trial EEG indicate attended speaker in a 'cocktail party'. J Neural Eng 11:046015
Nunez, Paul L; Srinivasan, Ramesh (2014) Neocortical dynamics due to axon propagation delays in cortico-cortical fibers: EEG traveling and standing waves with implications for top-down influences on local networks and white matter disease. Brain Res 1542:138-66
Itthipuripat, Sirawaj; Garcia, Javier O; Rungratsameetaweemana, Nuttida et al. (2014) Changing the spatial scope of attention alters patterns of neural gain in human cortex. J Neurosci 34:112-23
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Nunez, Paul L; Srinivasan, Ramesh (2013) Neocortical dynamics due to axon propagation delays in cortico-cortical fibers: EEG traveling and standing waves with implications for top-down influences on local networks and white matter disease. Brain Res :
Garcia, Javier O; Srinivasan, Ramesh; Serences, John T (2013) Near-real-time feature-selective modulations in human cortex. Curr Biol 23:515-22

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