BagheriMofidi, S.M. and Pouladian, M. and Jameie, S.B. and Abbaspour Tehrani-Fard, A. (2016) Computational Modeling of Neuronal Current MRI Signals with Rat Somatosensory Cortical Neurons. Interdisciplinary Sciences: Computational Life Sciences, 8 (3). pp. 253-262.
Full text not available from this repository.Abstract
Magnetic field generated by active neurons has recently been considered to determine location of neuronal activity directly with magnetic resonance imaging (MRI), but controversial results have been reported about detection of such small magnetic fields. In this study, multiple neuronal morphologies of rat tissue were modeled to investigate better estimation of MRI signal change produced by neuronal magnetic field (NMF). Ten pyramidal neurons from layer II to VI of rat somatosensory area with realistic morphology, biophysics, and neuronal density were modeled to simulate NMF of neuronal tissue, from which effects of NMF on MRI signals were obtained. Neuronal current MRI signals, which consist of relative magnitude signal change (RMSC) and phase signal change (PSC), were at least three and one orders of magnitude less than a tissue with single neuron type, respectively. Also, a reduction in voxel size could increase signal alterations. Furthermore, with selection of zenith angle of external main magnetic field related to tissue surface near to 90°, RMSC could be maximized. This value for PSC would be 90° for small voxel size and zero degree for large ones. © 2015, International Association of Scientists in the Interdisciplinary Areas and Springer-Verlag Berlin Heidelberg.
| Item Type: | Article |
|---|---|
| Additional Information: | cited By 1 |
| Depositing User: | eprints admin |
| Date Deposited: | 07 Jul 2018 08:45 |
| Last Modified: | 07 Jul 2018 08:45 |
| URI: | http://eprints.iums.ac.ir/id/eprint/3353 |
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