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. 2010 May 11;107(19):8519-24.
doi: 10.1073/pnas.1003146107. Epub 2010 Apr 26.

Magnetic resonance imaging of oscillating electrical currents

Affiliations

Magnetic resonance imaging of oscillating electrical currents

Nicholas W Halpern-Manners et al. Proc Natl Acad Sci U S A. .

Abstract

Functional MRI has become an important tool of researchers and clinicians who seek to understand patterns of neuronal activation that accompany sensory and cognitive processes. However, the interpretation of fMRI images rests on assumptions about the relationship between neuronal firing and hemodynamic response that are not firmly grounded in rigorous theory or experimental evidence. Further, the blood-oxygen-level-dependent effect, which correlates an MRI observable to neuronal firing, evolves over a period that is 2 orders of magnitude longer than the underlying processes that are thought to cause it. Here, we instead demonstrate experiments to directly image oscillating currents by MRI. The approach rests on a resonant interaction between an applied rf field and an oscillating magnetic field in the sample and, as such, permits quantitative, frequency-selective measurements of current density without spatial or temporal cancellation. We apply this method in a current loop phantom, mapping its magnetic field and achieving a detection sensitivity near the threshold required for the detection of neuronal currents. Because the contrast mechanism is under spectroscopic control, we are able to demonstrate how ramped and phase-modulated spin-lock radiation can enhance the sensitivity and robustness of the experiment. We further demonstrate the combination of these methods with remote detection, a technique in which the encoding and detection of an MRI experiment are separated by sample flow or translation. We illustrate that remotely detected MRI permits the measurement of currents in small volumes of flowing water with high sensitivity and spatial resolution.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Fig. 1.
Fig. 1.
Data from current-imaging experiments using a single loop phantom. (A) Integrated peak area during a sweep of the spin-lock power across resonance with an audio-frequency magnetic field (τsl = 100 ms, νcurrent = 100 Hz, and Vcurrent = 800 μV). (B) Two-dimensional images with νcurrent = 100 Hz, and Vcurrent = 1.5 mV, at τsl = 20, 40, 60, and 80 ms. (CE) Data from a τsl-incremented series of images with νcurrent = 100 Hz and Vcurrent = 1.5 mV. The magnitude of a voxel in the center of the current loop is shown in C with an overlaid fit of a cos2-modulated exponential decay that would simulate the projection of the y component of an oscillating transverse magnetization. Fourier transformation of these data (after correcting for the relaxation decay) (D) reveals an average oscillation frequency of ∼12.8 Hz in the center of the loop, corresponding to a field strength of ∼300 nT at this voltage. Plotting the magnetic field given by the average frequency in each voxel yields a map of the field strength throughout the slice (E).
Fig. 2.
Fig. 2.
Two-dimensional images taken with multitone current signals (Vcurrent = 1.5 mV). Two illustrative situations are shown: the top row shows images taken with a current pulse containing 70- and 130-Hz frequencies, both with (A) the standard constant-amplitude spin lock at resonance and with (B) a ramped spin lock that increases from 70% to 130% of the resonant power (τsl = 100 ms). The bottom row shows images taken with a current pulse containing frequencies from 70 to 130 Hz, in 10-Hz increments, again (D) with and (C) without a ramped spin lock.
Fig. 3.
Fig. 3.
Three-dimensional images of the saturation effect at Vcurrent = 500 μV. In A, the single-loop phantom is imaged with τsl = 50 ms and νcurrent = 100 Hz. In the double-loop phantom of B, current (τsl = 160 ms) is applied simultaneously in each loop at different frequencies, while the spin-lock power is switched between resonance conditions to selectively image only one loop. The top loop (red) has νcurrent = 100 Hz, while the bottom loop (blue) has νcurrent = 250 Hz. Contours are shown at 30%, 50%, 70%, and 90% saturation with respect to controls.
Fig. 4.
Fig. 4.
Images of a single loop at very low-driving voltages. The voltage of the audio-frequency currents are approximately (A) 4.74 μV and (B) 2.38 μV, with estimated field strengths at the center of the loop of (A) 0.92 nT and (B) 0.46 nT. Images were taken with νcurrent = 100 Hz, τsl = 160 ms, and eight averages. Voxel magnitude is displayed as percentage saturation with respect to a control.
Fig. 5.
Fig. 5.
Remotely detected current-imaging experiments in (A) a serpentine flow phantom. Water flows in 150-μm PEEK tubing laid out in s-shaped curves, travels through a solenoid in which audio-frequency current encoding takes place and then flows into an optimized microsolenoid NMR detector. (B) A single time-of-flight image from a control experiment without current excitation. Images illustrating the phase accrued during current excitation and due to a resonant mechanism, relative to a control, are shown for (C) a nonselective experiment with FOVy = 2.41 cm and FOVz = 3.62 cm and for (D) a zoomed-in experiment that isolates a slice containing the coil, giving FOVy = 0.48 cm and FOVz = 1.45 cm. Images were taken with νcurrent = 400 Hz, τsl = 20 ms, and Vcurrent = 1.6 mV. All images have resolution 90 × 90 after zero filling by a factor of 2 and have comparable signal to noise.

References

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