Literature DB >> 10493077

Imaging of current density and current pathways in rabbit brain during transcranial electrostimulation.

M L Joy1, V P Lebedev, J S Gati.   

Abstract

A magnetic resonance imaging (MRI) method was used for a noninvasive study of current density (CD) and current pathways (CP's) inside the skull during transcranial electrostimulation in rabbits. The transcranial impulse current directions studied were those previously used in transcranial electric treatment either sagittally or bilaterally. MRI data were collected from slices perpendicular to the direction of current application. In these slices, only the perpendicular component of the CD was measured. Computer methods for accurate topographic mapping of the main areas with high CD and for reconstruction of CP's are described. It was revealed that current applied on the head sagittally passed mostly through the cerebrospinal fluid in the basal brain cisternas connected in series, and through the anterior horns of the lateral ventricles, foramina of Monro, ventrocaudal part of the third ventricle, aqueductus, and fourth ventricle. Possible connections between these CP's are suggested. Bilaterally applied current passed through the brain and skull core more diffusely without concentrations in cisternas and ventricles. The results of the present study suggest an explanation for the observation that sagittally applied current more effectively stimulates brain structures with antinociceptive function and elicits more pronounced analgesic effect.

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Mesh:

Year:  1999        PMID: 10493077     DOI: 10.1109/10.784146

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  11 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.  A new magnetic resonance electrical impedance tomography (MREIT) algorithm: the RSM-MREIT algorithm with applications to estimation of human head conductivity.

Authors:  Nuo Gao; S A Zhu; Bin He
Journal:  Phys Med Biol       Date:  2006-05-31       Impact factor: 3.609

3.  Design of electrodes and current limits for low frequency electrical impedance tomography of the brain.

Authors:  O Gilad; L Horesh; D S Holder
Journal:  Med Biol Eng Comput       Date:  2007-06-28       Impact factor: 2.602

4.  Noise distribution and denoising of current density images.

Authors:  Mohammadali Beheshti; Farbod H Foomany; Karl Magtibay; David A Jaffray; Sridhar Krishnan; Kumaraswamy Nanthakumar; Karthikeyan Umapathy
Journal:  J Med Imaging (Bellingham)       Date:  2015-05-14

Review 5.  Neuromodulation for brain disorders: challenges and opportunities.

Authors:  Matthew D Johnson; Hubert H Lim; Theoden I Netoff; Allison T Connolly; Nessa Johnson; Abhrajeet Roy; Abbey Holt; Kelvin O Lim; James R Carey; Jerrold L Vitek; Bin He
Journal:  IEEE Trans Biomed Eng       Date:  2013-02-01       Impact factor: 4.538

6.  Mechanical model of neural tissue displacement during Lorentz effect imaging.

Authors:  Bradley J Roth; Peter J Basser
Journal:  Magn Reson Med       Date:  2009-01       Impact factor: 4.668

7.  Visualization of electrical field of electrode using voltage-controlled fluorescence release.

Authors:  Wenyan Jia; Jiamin Wu; Di Gao; Hao Wang; Mingui Sun
Journal:  Comput Biol Med       Date:  2016-05-16       Impact factor: 4.589

8.  SNR-Enhanced, Rapid Electrical Conductivity Mapping Using Echo-Shifted MRI.

Authors:  Hyunyeol Lee; Jaeseok Park
Journal:  Tomography       Date:  2022-02-05

9.  Conductivity image enhancement in MREIT using adaptively weighted spatial averaging filter.

Authors:  Tong In Oh; Hyung Joong Kim; Woo Chul Jeong; Hun Wi; Oh In Kwon; Eung Je Woo
Journal:  Biomed Eng Online       Date:  2014-06-26       Impact factor: 2.819

Review 10.  The application of tDCS in psychiatric disorders: a brain imaging view.

Authors:  Chris Baeken; Jerome Brunelin; Romain Duprat; Marie-Anne Vanderhasselt
Journal:  Socioaffect Neurosci Psychol       Date:  2016-03-17
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