The proposed experimental, simulation, and theoretical EEG/MEG studies will develop modern engineering tools for future use by cognitive and medical scientists who carry out physiological studies using steady-state visual evoked potentials (SSVEPs). SSVEP provides robust measures of neocortical dynamic and cognitive function that are largely artifact-free. 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 EEG with MEG and new paradigms and analytic methods to quantify dynamic (spatial-temporal) properties of SSVEPs. This framework will be used in experimental studies of localized and distributed brain networks in spatial and feature attention tasks. 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 localized and distributed brain networks based on genuine physiology and anatomy. This theoretical construct provides the necessary connection between physiology and EEG/SSVEP data. The essential power of this method is that localized and distributed brain networks operate over different frequency ranges and thus can be easily investigated with SSVEPs. In this manner, a triple correspondence between SSVEP dynamics, cognitive processes, and theoretical models will be obtained. The EEG and SSVEP tools developed in these studies should provide firm foundations for the physiological interpretation of 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, MEG, and SSVEP analysis, modeling and simulation with a supporting manual and examples.

Public Health Relevance

EEG is a widely used research and diagnostic tool in a wide variety of disease states including mental disorders and neurological conditions. This project significantly advances EEG based neuroscience by developing new experimental methods for cognitive and clinical studies in conjunction with corresponding theoretical models of brain dynamics and physics of electromagnetic fields of the brain.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH068004-07
Application #
8301017
Study Section
Neurotechnology Study Section (NT)
Program Officer
Freund, Michelle
Project Start
2003-01-01
Project End
2014-05-31
Budget Start
2012-06-01
Budget End
2014-05-31
Support Year
7
Fiscal Year
2012
Total Cost
$543,952
Indirect Cost
$145,025
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
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
Itthipuripat, Sirawaj; Garcia, Javier O; Serences, John T (2013) Temporal dynamics of divided spatial attention. J Neurophysiol 109:2364-73
Bridwell, David A; Hecker, Elizabeth A; Serences, John T et al. (2013) Individual differences in attention strategies during detection, fine discrimination, and coarse discrimination. J Neurophysiol 110:784-94
Horton, Cort; D'Zmura, Michael; Srinivasan, Ramesh (2013) Suppression of competing speech through entrainment of cortical oscillations. J Neurophysiol 109:3082-93
Garcia, Javier O; Srinivasan, Ramesh; Serences, John T (2013) Near-real-time feature-selective modulations in human cortex. Curr Biol 23:515-22
Diwakar, Mithun; Tal, Omer; Liu, Thomas T et al. (2011) Accurate reconstruction of temporal correlation for neuronal sources using the enhanced dual-core MEG beamformer. Neuroimage 56:1918-28

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