Literature DB >> 17990303

Modeling direct effects of neural current on MRI.

Leon Heller1, Benjamin E Barrowes, John S George.   

Abstract

We investigate the effect of the magnetic field generated by neural activity on the magnitude and phase of the MRI signal in terms of a phenomenological parameter with the dimensions of length; it involves the product of the strength and duration of these currents. We obtain an analytic approximation to the MRI signal when the neuromagnetically induced phase is small inside the MRI voxel. The phase shift is the average of the MRI phase over the voxel, and therefore first order in that phase; and the reduction in the signal magnitude is one half the square of the standard deviation of the MRI phase, which is second order. The analytic approximation is compared with numerical simulations. For weak currents the agreement is excellent, and the magnitude change is generally much smaller than the phase shift. Using MEG data as a weak constraint on the current strength we find that for a net dipole moment of 10 nAm, a typical value for an evoked response, the reduction in the magnitude of the MRI signal is two parts in 10(5), and the maximum value of the overall phase shift is approximately 4 x 10(-3), obtained when the MRI voxel is displaced 2/3 the size of the neuronal activity. We also show signal changes over a large range of values of the net dipole moment. We compare these results with others in the literature. Our model overestimates the effect on the MRI signal. (c) 2007 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2009        PMID: 17990303      PMCID: PMC6871140          DOI: 10.1002/hbm.20484

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  21 in total

1.  Toward direct mapping of neuronal activity: MRI detection of ultraweak, transient magnetic field changes.

Authors:  Jerzy Bodurka; Peter A Bandettini
Journal:  Magn Reson Med       Date:  2002-06       Impact factor: 4.668

2.  MRI detection of weak magnetic fields due to an extended current dipole in a conducting sphere: a model for direct detection of neuronal currents in the brain.

Authors:  Daniel Konn; Penny Gowland; Richard Bowtell
Journal:  Magn Reson Med       Date:  2003-07       Impact factor: 4.668

3.  Directly mapping magnetic field effects of neuronal activity by magnetic resonance imaging.

Authors:  Jinhu Xiong; Peter T Fox; Jia-Hong Gao
Journal:  Hum Brain Mapp       Date:  2003-09       Impact factor: 5.038

4.  Challenges for detection of neuronal currents by MRI.

Authors:  Gisela E Hagberg; Marta Bianciardi; Bruno Maraviglia
Journal:  Magn Reson Imaging       Date:  2006-03-06       Impact factor: 2.546

5.  Observation of the fast response of a magnetic resonance signal to neuronal activity: a snail ganglia study.

Authors:  Tae Seok Park; Sang Yeon Lee; Ji-Ho Park; Min Hyoung Cho; Soo Yeol Lee
Journal:  Physiol Meas       Date:  2006-01-06       Impact factor: 2.833

6.  Dynamic magnetic resonance inverse imaging of human brain function.

Authors:  Fa-Hsuan Lin; Lawrence L Wald; Seppo P Ahlfors; Matti S Hämäläinen; Kenneth K Kwong; John W Belliveau
Journal:  Magn Reson Med       Date:  2006-10       Impact factor: 4.668

7.  Direct magnetic resonance detection of neuronal electrical activity.

Authors:  Natalia Petridou; Dietmar Plenz; Afonso C Silva; Murray Loew; Jerzy Bodurka; Peter A Bandettini
Journal:  Proc Natl Acad Sci U S A       Date:  2006-10-12       Impact factor: 11.205

8.  Toward direct neural current imaging by resonant mechanisms at ultra-low field.

Authors:  R H Kraus; P Volegov; A Matlachov; M Espy
Journal:  Neuroimage       Date:  2007-08-16       Impact factor: 6.556

9.  Direct MRI detection of neuronal magnetic fields in the brain: theoretical modeling.

Authors:  Yiqun Xue; Jia-Hong Gao; Jinhu Xiong
Journal:  Neuroimage       Date:  2006-02-28       Impact factor: 6.556

Review 10.  Mapping function in the human brain with magnetoencephalography, anatomical magnetic resonance imaging, and functional magnetic resonance imaging.

Authors:  J S George; C J Aine; J C Mosher; D M Schmidt; D M Ranken; H A Schlitt; C C Wood; J D Lewine; J A Sanders; J W Belliveau
Journal:  J Clin Neurophysiol       Date:  1995-09       Impact factor: 2.177

View more
  6 in total

1.  Physiologic noise regression, motion regression, and TOAST dynamic field correction in complex-valued fMRI time series.

Authors:  Andrew D Hahn; Daniel B Rowe
Journal:  Neuroimage       Date:  2011-10-07       Impact factor: 6.556

2.  Enhancing the utility of complex-valued functional magnetic resonance imaging detection of neurobiological processes through postacquisition estimation and correction of dynamic B(0) errors and motion.

Authors:  Andrew D Hahn; Andrew S Nencka; Daniel B Rowe
Journal:  Hum Brain Mapp       Date:  2011-02-08       Impact factor: 5.038

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.  Direct neural current imaging in an intact cerebellum with magnetic resonance imaging.

Authors:  Padmavathi Sundaram; Aapo Nummenmaa; William Wells; Darren Orbach; Daniel Orringer; Robert Mulkern; Yoshio Okada
Journal:  Neuroimage       Date:  2016-02-17       Impact factor: 6.556

5.  Modeling neuronal current MRI signal with human neuron.

Authors:  Qingfei Luo; Xia Jiang; Bin Chen; Yi Zhu; Jia-Hong Gao
Journal:  Magn Reson Med       Date:  2011-01-19       Impact factor: 4.668

6.  On consciousness, resting state fMRI, and neurodynamics.

Authors:  Arvid Lundervold
Journal:  Nonlinear Biomed Phys       Date:  2010-06-03
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.