Journal article
Direct MRI detection of neuronal magnetic fields in the brain: Theoretical modeling
NeuroImage (Orlando, Fla.), Vol.31(2), pp.550-559
2006
DOI: 10.1016/j.neuroimage.2005.12.041
PMID: 16504542
Abstract
Whether MRI can be used for direct detection of neuronal activity is a matter of debate. Controversial theoretical and experimental results have been reported. Here, we present an improved current-dipole model to compute magnetic field generated by neural firing and to calculate MRI signal changes resulting from the neuronal magnetic field (NMF). Each dendrite or each unmyelinated axon was modeled as a modified current-dipole. NMF were estimated based on a synchronized activity of multiple neurons. Sensitivity of using phase and magnitude MRI to measure effects of NMF was evaluated. Our results show that NMF can potentially generate up to a few percent changes in MRI magnitude signals. Phases of MRI signal tend to be destructively added and are insensitive to NMF in the activated region when the distribution of the activated dendrites is symmetrical. Phases could be detected when the distribution of the activated dendrites is asymmetrical and on some neighboring voxels. Our modeling implies that direct MRI detection of neuronal activity is possible.
Details
- Title: Subtitle
- Direct MRI detection of neuronal magnetic fields in the brain: Theoretical modeling
- Creators
- Yiqun Xue - Department of Radiology, University of Iowa, #3891 JPP, 200 Hawkins Drive, Iowa City, IA 52242, USAJia-Hong Gao - Research Imaging Center, University of Texas Health Science Center, San Antonio, TX 78229, USAJinhu Xiong - Department of Radiology, University of Iowa, #3891 JPP, 200 Hawkins Drive, Iowa City, IA 52242, USA
- Resource Type
- Journal article
- Publication Details
- NeuroImage (Orlando, Fla.), Vol.31(2), pp.550-559
- Publisher
- Elsevier Inc
- DOI
- 10.1016/j.neuroimage.2005.12.041
- PMID
- 16504542
- ISSN
- 1053-8119
- eISSN
- 1095-9572
- Language
- English
- Date published
- 2006
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering
- Record Identifier
- 9984083889202771
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