In-vivo detection of neuronal current using spin-lock oscillatory excitation at 7T
Yuhui Chai1, Guoqiang Bi2, Liping Wang3, Fuqiang Xu4, Xin Zhou4, Bensheng Qiu2, Hao Lei4, Bing Wu5, Yang Fan5, and Jia-Hong Gao1

1Center for MRI Research, Peking University, Beijing, China, People's Republic of, 2University of Science and Technology of China, Hefei, China, People's Republic of, 3Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, People's Republic of, 4Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, China, People's Republic of, 5GE Healthcare, MR Research China, Beijing, China, People's Republic of

Synopsis

In-vivo detection of neuronal current remains a challenging and promising goal in fMRI. Previous work has demonstrated its feasibility in phantom and cell culture studies, but attempts in in-vivo studies remain few and far between. As neuronal current is usually comprised of a series of oscillatory waveforms rather than being a direct current, it is most likely to be detected using oscillatory current sensitive sequences. In this study, we explored the potential of using the spin-lock oscillatory excitation (SLOE) sequence to directly detect optogenetically evoked oscillatory neuronal current in vivo for the first time.

Purpose

In-vivo detection of neuronal current remains a challenging and promising goal in fMRI. Up to present, progress has been made in phantom1 and cell culture2 studies, but no conclusive reports have been made for in-vivo studies3,4. As neuronal current is usually comprised of a series of oscillatory waveforms rather than being a direct current, it is most likely to be detected using oscillatory current sensitive sequences. Spin-lock oscillatory excitation (SLOE) has been reported to be the most sensitive method up to date and showed sub-nanotesla level detection of oscillatory current in phantom experiment5. In this study, we explored the potential of using SLOE sequence to directly detect oscillatory neuronal current in vivo for the first time.

Methods

SLOE was implemented with a spiral readout for minimal TE (Fig. 1a). Phantom experiment was first performed with a single copper loop (diameter, 1.1 cm) immersed in a 3.0 mM NiCl2 solution. A function generator was connected to the loop to generate a 100 Hz sinusoidal current with an amplitude of 0.5 nT at the center of the loop according to the Biot-Savart law. Optogenetic animal experiment was performed by first injecting 1 µl virus of AAV5-Syn-ChR2(ET/TC)-EYFP into V1 cortex of Sprague-Dawley rats (200-250 g) and letting it express for more than 7 weeks. Then optogenetically evoked oscillatory neuronal current could be evoked by delivering a series of 473 nm laser pulses at less than 80 mW/mm2 irradiance above the cortex of viral injection (Fig. 3). Such an oscillatory neuronal current was expected to induce spin-lock excitation only if the oscillatory frequency equals the spin-lock intensity.

MR data acquisition was performed using a 7 T Bruker Biospec animal scanner. SLOE was used for phantom and in-vivo experiments with the same parameters: spin-lock time (TSL) = 70 ms, spin-lock intensity (BSL) = 100 Hz, TR/TE = 1000/5 ms, resolution = 0.47×0.47 mm2, slice thickness = 1 mm. In in-vivo experiments, BOLD signal was acquired before and after the whole ncMRI acquisitions to confirm the existence of neuronal response, using a GE-EPI sequence with TR/TE = 1000/25 ms, FA = 55⁰ (Ernst angle) and identical geometry parameters with SLOE. The detailed stimuli pattern of ncMRI experiment is illustrated in Fig. 5a: light stimulation (4 ms, 100 Hz) is ON only during the spin-lock time in the first TR out of every 15 consecutive TRs, and polarity of the stimulation changes every 15 TRs. Acquisition for ncMRI is made in every first TR. After the data was 2D motion corrected and high-pass filtered at 0.006 Hz, GLM fitted analysis was performed to determine the activation map.

Results

SLOE acquisitions in phantom are summarized in Fig. 1: with oscillatory currents of opposite polarities (Fig. 1a), the detected signal also showed opposite polarities inside and outside the loop (Fig. 1b). The expressions of ChR2-EYFP were verified with confocal images (Fig. 2a); their overlaying with NeuN (red marker) and DAPI (blue marker) demonstrates the specific expression in neuron cells (Fig. 2b). Fig. 3 shows the recorded optogenetically evoked oscillatory LFP signals at different stimulation frequencies (20 Hz, 50 Hz, 80 Hz), along with their spectrograms. BOLD activation is shown in Fig. 4, and such activation area was consistent among different rats. However, no consistent activation pattern was observed in SLOE detection with either polarity of stimulation as displayed in Fig. 5.

Discussion and conclusion

In this work, SLOE, the most sensitive ncMRI method reported up to date was implemented on a high field 7 T scanner for in-vivo experiment. Thorough experiment design was performed including optimizations of imaging protocol and stimulation pattern, phantom verification of hypothesis, LFP verification of optogenetical stimulation, and BOLD verification of brain activation. However, SLOE detection in vivo did not lead to statistically significant results. Given the shown sub-nanotesla level of sensitivity in phantom, the main hurdle of SLOE in vivo is the vulnerability to field inhomogeneity, which should be the focus of technical refinement in the next stage.

Acknowledgements

This work was supported by China’s National Strategic Basic Research Program (973) (2012CB720700), the Natural Science Foundation of China (81227003, 81430037, 31421003, 91132307 and 31171061) and the Strategic Priority Research Program of the Chinese Academy of Sciences (XDB02050002).

References

1. Witzel T, Lin FH, Rosen BR, et al. Stimulus-induced Rotary Saturation (SIRS): a potential method for the detection of neuronal currents with MRI. NeuroImage 2008;42(4):1357-1365.

2. Petridou N, Plenz D, Silva AC, et al. Direct magnetic resonance detection of neuronal electrical activity. Proc Natl Acad Sci U S A 2006;103(43):16015-16020.

3. Sundaram P, Wells WM, Mulkern RV, et al. Fast human brain magnetic resonance responses associated with epileptiform spikes. Magn Reson Med 2010;64(6):1728-1738.

4. Jiang X, Lu H, Shigeno S, et al. Octopus visual system: A functional MRI model for detecting neuronal electric currents without a blood-oxygen-level-dependent confound. Magn Reson Med 2014;72(5):1311-1319.

5. Jiang X, Sheng J, Li H, et al. Detection of subnanotesla oscillatory magnetic fields using MRI. Magn Reson Med doi: 101002/mrm25553 2015.

Figures

Fig. 1: (a) Pulse sequence of SLOE. (b) Activation t-maps (p < 0.01, uncorrected) in phantom. Phase = 0°/180° represent opposite polarities of the input oscillatory currents.

Fig. 2: (a) ChR2 expression in V1 cortex of one typical rat and (b) the arrows indicate ChR2 expression in neuron cells.

Fig. 3: (a-c) Optogenetically evoked oscillatory LFP signals and (d-f) their corresponding spectrograms. The virus injection site in V1 cortex was also used as the optical stimulation site and LFP recording point.

Fig. 4: (a) Optogenetically evoked BOLD activation t-maps (p < 0.001, FWE corrected) in V1 cortex of one typical rat and (b) the averaged time course of the activated area. The optical stimulation site was at the same point of virus injection.

Fig. 5: (a) Timing diagram of SLOE acquisition and (b) its activation t-maps (p < 0.01, uncorrected) in one typical rat. The optical stimulation site was at the same point of virus injection.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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