Literature DB >> 16677955

Challenges for detection of neuronal currents by MRI.

Gisela E Hagberg1, Marta Bianciardi, Bruno Maraviglia.   

Abstract

Neuronal current MRI (nc-MRI) is an imaging method that directly maps magnetic field changes caused by neuronal currents with, at the same time, a high spatial and temporal resolution. A viable nc-MRI method would be of great benefit, both for the study of human brain function and for clinical applications in the field of epilepsy, especially for the noninvasive presurgical mapping of epileptogenic foci. A survey of fundamental issues in nc-MRI is reviewed, and challenges for future developments of the method are described within this context. Particularly, an overview of the models for signal generation is given, and the origin and physiology of different sources of neuronal currents are described. Prospects for predicting neuronal currents by electromagnetic field mapping and using this information, both a priori and a posteriori, for nc-MRI are considered. Ways of increasing specificity in nc-MRI by minimizing secondary hemodynamic and metabolic effects are described as well as means of optimizing the nc-MRI method for pushing the detection limit. Previously published works are described within these categories and future directions for nc-MRI are proposed.

Entities:  

Mesh:

Year:  2006        PMID: 16677955     DOI: 10.1016/j.mri.2005.12.027

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


  18 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.  Finding neuroelectric activity under magnetic-field oscillations (NAMO) with magnetic resonance imaging in vivo.

Authors:  Trong-Kha Truong; Allen W Song
Journal:  Proc Natl Acad Sci U S A       Date:  2006-08-07       Impact factor: 11.205

3.  Modeling direct effects of neural current on MRI.

Authors:  Leon Heller; Benjamin E Barrowes; John S George
Journal:  Hum Brain Mapp       Date:  2009-01       Impact factor: 5.038

4.  A novel method for recording neuronal depolarization with recording at 125-825 Hz: implications for imaging fast neural activity in the brain with electrical impedance tomography.

Authors:  T Oh; O Gilad; A Ghosh; M Schuettler; D S Holder
Journal:  Med Biol Eng Comput       Date:  2011-03-30       Impact factor: 2.602

5.  Is it possible to detect dendrite currents using presently available magnetic resonance imaging techniques?

Authors:  William I Jay; Ranjith S Wijesinghe; Brain D Dolasinski; Bradley J Roth
Journal:  Med Biol Eng Comput       Date:  2012-03-24       Impact factor: 2.602

6.  Direct detection of neural activity in vitro using magnetic resonance electrical impedance tomography (MREIT).

Authors:  Rosalind J Sadleir; Fanrui Fu; Corey Falgas; Stephen Holland; May Boggess; Samuel C Grant; Eung Je Woo
Journal:  Neuroimage       Date:  2017-08-14       Impact factor: 6.556

7.  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

8.  On multiple alternating steady states induced by periodic spin phase perturbation waveforms.

Authors:  Giedrius T Buračas; Youngkyoo Jung; Jongho Lee; Richard B Buxton; Eric C Wong; Thomas T Liu
Journal:  Magn Reson Med       Date:  2011-08-08       Impact factor: 4.668

9.  Physiologically evoked neuronal current MRI in a bloodless turtle brain: detectable or not?

Authors:  Qingfei Luo; Huo Lu; Hanbing Lu; David Senseman; Keith Worsley; Yihong Yang; Jia-Hong Gao
Journal:  Neuroimage       Date:  2009-06-16       Impact factor: 6.556

10.  A method for recording resistance changes non-invasively during neuronal depolarization with a view to imaging brain activity with electrical impedance tomography.

Authors:  Ori Gilad; Anthony Ghosh; Dongin Oh; David S Holder
Journal:  J Neurosci Methods       Date:  2009-03-26       Impact factor: 2.390

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