This proposal is aimed for development and optimization of a novel neuroimaging method, termed """"""""magnetic source MRI"""""""" (msMRI), that uses a conventional MRI scanner in an innovative manner to measure electromagnetic signals from populations of neurons. The msMRI technique is based on directly detecting MRI signal changes associated with changes in magnetic fields concomitant with neuronal filing. Compared with positron-emission tomography (PET) and functional MRI (FMRI) methods, msMRI has improved spatial localization and significantly better temporal resolution. Compared with magnetoencephalography (MEG) and electrophysiology (EEG), msMRI has superior spatial resolution. The goal of this project is to systemically characterize rnsMRI signal, apply this unique technique in initial human neuroscience research, and facilitate the use of msMRI among scientists investigating basic neurophysiological and neuropsychological phenomena as well as accurate clinical diagnostic/intervention methodology for brain diseases.
Three specific aims are proposed for three years: (1) to refine and extend mathematical models of msMRI; (2) to optimize strategies for data acquisition and analysis; (3) to evaluate the extent to which msMRI signal fulfills the requirements of linear systems and its dependence on magnetic field strength. This proposal is a perfect match of the mission of the NIBIB because the proposed msMRI is an innovative imaging technology that should significantly impact on research and clinical developments in the fields of human neuroimaging, cognitive neuroscience, and neuropathology. Magnetic source MRI could represent a substantial advance for these fields and should help bridge the gap between human neuroimaging and electrophysiological methods employed in experiments with non-humans. The power provided by msMRI technology is essential to understand human cellular neurophysiology and its implication on brain diseases.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
7R01EB004753-03
Application #
7208715
Study Section
Special Emphasis Panel (ZRG1-BBBP-C (50))
Program Officer
Mclaughlin, Alan Charles
Project Start
2004-09-01
Project End
2007-08-31
Budget Start
2006-01-01
Budget End
2006-08-31
Support Year
3
Fiscal Year
2005
Total Cost
$165,700
Indirect Cost
Name
University of Chicago
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
005421136
City
Chicago
State
IL
Country
United States
Zip Code
60637
Jiang, Xia; Lu, Hanbing; Shigeno, Shuichi et al. (2014) Octopus visual system: a functional MRI model for detecting neuronal electric currents without a blood-oxygen-level-dependent confound. Magn Reson Med 72:1311-9
Luo, Qingfei; Jiang, Xia; Chen, Bin et al. (2011) Modeling neuronal current MRI signal with human neuron. Magn Reson Med 65:1680-9
Jiang, Xia; Li, Huanjie; Luo, Qingfei et al. (2011) Modeling MR signal change induced by oxygen effect in neural tissue preparations of various geometries. Magn Reson Med 65:1358-64
Luo, Qingfei; Jiang, Xia; Gao, Jia-Hong (2011) Detection of neuronal current MRI in human without BOLD contamination. Magn Reson Med 66:492-7
Luo, Qingfei; Gao, Jia-Hong (2010) Modeling magnitude and phase neuronal current MRI signal dependence on echo time. Magn Reson Med 64:1832-7
Luo, Qingfei; Lu, Huo; Lu, Hanbing et al. (2010) Comparison of visually evoked local field potentials in isolated turtle brain: patterned versus blank stimulation. J Neurosci Methods 187:26-32
Luo, Qingfei; Lu, Huo; Lu, Hanbing et al. (2009) Physiologically evoked neuronal current MRI in a bloodless turtle brain: detectable or not? Neuroimage 47:1268-76
Lin, Ai-Ling; Fox, Peter T; Yang, Yihong et al. (2008) Evaluation of MRI models in the measurement of CMRO2 and its relationship with CBF. Magn Reson Med 60:380-9
Luo, Qingfei; Liu, Ho-Ling; Parris, Brent et al. (2007) Modeling oxygen effects in tissue-preparation neuronal-current MRI. Magn Reson Med 58:407-12
Xue, Yiqun; Gao, Jia-Hong; Xiong, Jinhu (2006) Direct MRI detection of neuronal magnetic fields in the brain: theoretical modeling. Neuroimage 31:550-9

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