The purpose of this proposal (responding to RFA EB-005-001) is to pursue the integrated development of a functional brain imaging approach based on the fast optical signal. This signal is characterized by rapid changes in cortical transparency occurring immediately after stimulation and simultaneous with electrophysiological measures of neuronal activity. The current proposal unites three groups (at the University of Illinois at Urbana-Champaign - UIUC, University of California-Irvine - UCI, and Pennsylvania State University - PSU) that have played a critical role in the discovery and initial observations of the fast optical signal in humans. The main goals of the proposed research, covering five of the six goals stated in the RFA, are: (a) To investigate the biophysical phenomena underlying the fast optical signals through a combination of simulation studies and measurements conducted on animal models, comparing fast optical signals and electrophysiological measures of neuronal activity. (RFA GOALS#1&2) (b) To examine the relationship between intracranial changes and optical parameters recorded at the scalp and used for detecting the fast optical signals in humans. This will involve recording of fast optical signals in humans as well as Monte Carlo simulation. (RFA GOALS#4&6). (c) To develop and validate mapping and other analytic tools for the 3-D reconstruction of cortical activity based on realistic head models, through the comparison of optical and fMRI data (RFA GOAL#5). (d) To significantly improve the signal-to-noise ratio (S/N) of optical signals through radical modifications of the current instrumental designs and improvements in recording and filtering methods. (RFA GOAL#6).

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
1R01MH080182-01
Application #
7139452
Study Section
Special Emphasis Panel (ZEB1-OSR-A (M1))
Program Officer
Cavelier, German
Project Start
2006-08-15
Project End
2009-07-31
Budget Start
2006-08-15
Budget End
2007-07-31
Support Year
1
Fiscal Year
2006
Total Cost
$350,431
Indirect Cost
Name
University of Illinois Urbana-Champaign
Department
Type
Organized Research Units
DUNS #
041544081
City
Champaign
State
IL
Country
United States
Zip Code
61820
Lee, James V; Maclin, Edward L; Low, Kathy A et al. (2013) Noninvasive diffusive optical imaging of the auditory response to birdsong in the zebra finch. J Comp Physiol A Neuroethol Sens Neural Behav Physiol 199:227-38
Mathewson, Kyle E; Prudhomme, Christopher; Fabiani, Monica et al. (2012) Making waves in the stream of consciousness: entraining oscillations in EEG alpha and fluctuations in visual awareness with rhythmic visual stimulation. J Cogn Neurosci 24:2321-33
Tse, Chun-Yu; Low, Kathy A; Fabiani, Monica et al. (2012) Rules rule! Brain activity dissociates the representations of stimulus contingencies with varying levels of complexity. J Cogn Neurosci 24:1941-59
Parks, Nathan A; Maclin, Edward L; Low, Kathy A et al. (2012) Examining cortical dynamics and connectivity with simultaneous single-pulse transcranial magnetic stimulation and fast optical imaging. Neuroimage 59:2504-10
Gratton, Gabriele; Fabiani, Monica (2010) Fast optical imaging of human brain function. Front Hum Neurosci 4:52
Tse, Chun-Yu; Gordon, Brian A; Fabiani, Monica et al. (2010) Frequency analysis of the visual steady-state response measured with the fast optical signal in younger and older adults. Biol Psychol 85:79-89
Low, Kathy A; Leaver, Echo E; Kramer, Arthur F et al. (2009) Share or compete? Load-dependent recruitment of prefrontal cortex during dual-task performance. Psychophysiology 46:1069-79
Mathewson, Kyle E; Gratton, Gabriele; Fabiani, Monica et al. (2009) To see or not to see: prestimulus alpha phase predicts visual awareness. J Neurosci 29:2725-32
Whalen, Christopher; Maclin, Edward L; Fabiani, Monica et al. (2008) Validation of a method for coregistering scalp recording locations with 3D structural MR images. Hum Brain Mapp 29:1288-301
Rykhlevskaia, Elena; Gratton, Gabriele; Fabiani, Monica (2008) Combining structural and functional neuroimaging data for studying brain connectivity: a review. Psychophysiology 45:173-87

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