Modeling Direct Effects of Neural Current on MRI

被引:17
作者
Heller, Leon [1 ]
Barrowes, Benjamin E. [1 ]
George, John S. [1 ]
机构
[1] Los Alamos Natl Lab, Div Phys, Los Alamos, NM 87545 USA
关键词
MRI; MEG; neuronal magnetic field; modeling; NEURONAL CURRENTS; MAGNETIC-FIELDS; HUMAN BRAIN; MAGNETOENCEPHALOGRAPHY; DIPOLE; SIGNAL; MEG;
D O I
10.1002/hbm.20484
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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 approximate to 4 . 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. Hum Brain Mapp 30:1-12, 2009. (c) 2007 Wiley-Liss, Inc.
引用
收藏
页码:1 / 12
页数:12
相关论文
共 38 条
[1]  
Abragam A., 1961, The principles of nuclear magnetism
[2]   Multistart algorithms for MEG empirical data analysis reliably characterize locations and time courses of multiple sources [J].
Aine, C ;
Huang, M ;
Stephen, J ;
Christner, R .
NEUROIMAGE, 2000, 12 (02) :159-172
[3]   A HIERARCHICAL O(N-LOG-N) FORCE-CALCULATION ALGORITHM [J].
BARNES, J ;
HUT, P .
NATURE, 1986, 324 (6096) :446-449
[4]   Current-induced magnetic resonance phase imaging [J].
Bodurka, J ;
Jesmanowicz, A ;
Hyde, JS ;
Xu, H ;
Estkowski, L ;
Li, SJ .
JOURNAL OF MAGNETIC RESONANCE, 1999, 137 (01) :265-271
[5]   Toward direct mapping of neuronal activity: MRI detection of ultraweak, transient magnetic fields changes [J].
Bodurka, J ;
Bandettini, PA .
MAGNETIC RESONANCE IN MEDICINE, 2002, 47 (06) :1052-1058
[6]   Hunting for neuronal currents: absence of rapid MRI signal changes during visual-evoked response [J].
Chu, RN ;
de Zwart, JA ;
van Gelderen, P ;
Fukunaga, M ;
Kellman, P ;
Holroyd, T ;
Duyn, JH .
NEUROIMAGE, 2004, 23 (03) :1059-1067
[7]   Dynamic statistical parametric mapping: Combining fMRI and MEG for high-resolution imaging of cortical activity [J].
Dale, AM ;
Liu, AK ;
Fischl, BR ;
Buckner, RL ;
Belliveau, JW ;
Lewine, JD ;
Halgren, E .
NEURON, 2000, 26 (01) :55-67
[8]   Transient decrease in water diffusion observed in human occipital cortex during visual stimulation [J].
Darquié, A ;
Poline, JB ;
Poupon, C ;
Saint-Jalmes, H ;
Le Bihan, D .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2001, 98 (16) :9391-9395
[9]   MAPPING FUNCTION IN THE HUMAN BRAIN WITH MAGNETOENCEPHALOGRAPHY, ANATOMICAL MAGNETIC-RESONANCE-IMAGING, AND FUNCTIONAL MAGNETIC-RESONANCE-IMAGING [J].
GEORGE, JS ;
AINE, CJ ;
MOSHER, JC ;
SCHMIDT, DM ;
RANKEN, DM ;
SCHLITT, HA ;
WOOD, CC ;
LEWINE, JD ;
SANDERS, JA ;
BELLIVEAU, JW .
JOURNAL OF CLINICAL NEUROPHYSIOLOGY, 1995, 12 (05) :406-431
[10]   Challenges for detection of neuronal currents by MRI [J].
Hagberg, GE ;
Bianciardi, M ;
Maraviglia, B .
MAGNETIC RESONANCE IMAGING, 2006, 24 (04) :483-493