Literature DB >> 19269766

Neuronal current detection with low-field magnetic resonance: simulations and methods.

Antonino Mario Cassará1, Bruno Maraviglia, Stefan Hartwig, Lutz Trahms, Martin Burghoff.   

Abstract

The noninvasive detection of neuronal currents in active brain networks [or direct neuronal imaging (DNI)] by means of nuclear magnetic resonance (NMR) remains a scientific challenge. Many different attempts using NMR scanners with magnetic fields >1 T (high-field NMR) have been made in the past years to detect phase shifts or magnitude changes in the NMR signals. However, the many physiological (i.e., the contemporarily BOLD effect, the weakness of the neuronal-induced magnetic field, etc.) and technical limitations (e.g., the spatial resolution) in observing the weak signals have led to some contradicting results. In contrast, only a few attempts have been made using low-field NMR techniques. As such, this paper was aimed at reviewing two recent developments in this front. The detection schemes discussed in this manuscript, the resonant mechanism (RM) and the DC method, are specific to NMR instrumentations with main fields below the earth magnetic field (50 microT), while some even below a few microteslas (ULF-NMR). However, the experimental validation for both techniques, with differentiating sensitivity to the various neuronal activities at specific temporal and spatial resolutions, is still in progress and requires carefully designed magnetic field sensor technology. Additional care should be taken to ensure a stringent magnetic shield from the ambient magnetic field fluctuations. In this review, we discuss the characteristics and prospect of these two methods in detecting neuronal currents, along with the technical requirements on the instrumentation.

Mesh:

Year:  2009        PMID: 19269766     DOI: 10.1016/j.mri.2009.01.015

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  5 in total

1.  Magnetic resonance imaging of oscillating electrical currents.

Authors:  Nicholas W Halpern-Manners; Vikram S Bajaj; Thomas Z Teisseyre; Alexander Pines
Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-26       Impact factor: 11.205

2.  MRI of the human brain at 130 microtesla.

Authors:  Ben Inglis; Kai Buckenmaier; Paul Sangiorgio; Anders F Pedersen; Matthew A Nichols; John Clarke
Journal:  Proc Natl Acad Sci U S A       Date:  2013-11-19       Impact factor: 11.205

3.  Magnetic resonance imaging of ionic currents in solution: the effect of magnetohydrodynamic flow.

Authors:  Mukund Balasubramanian; Robert V Mulkern; William M Wells; Padmavathi Sundaram; Darren B Orbach
Journal:  Magn Reson Med       Date:  2014-10-01       Impact factor: 4.668

4.  Modeling the effect of dendritic input location on MEG and EEG source dipoles.

Authors:  Seppo P Ahlfors; Christopher Wreh
Journal:  Med Biol Eng Comput       Date:  2015-04-12       Impact factor: 2.602

5.  Current density imaging sequence for monitoring current distribution during delivery of electric pulses in irreversible electroporation.

Authors:  Igor Serša; Matej Kranjc; Damijan Miklavčič
Journal:  Biomed Eng Online       Date:  2015-08-27       Impact factor: 2.819

  5 in total

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