Xiao Yu1,2, Bo-Wei Chen3, Xiaojun Tan1,4, Boyi Qu1,4, Tingting He1,2, Ching-Fu Wang3, Yu-Hao Lan3, You-Yin Chen3, and Hsin-Yi Lai1,2
1Interdisciplinary Institute of Neuroscience and Technology, School of Medicine, Zhejiang University, Hangzhou, China, 2Department of Neurology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China, 3Department of Biomedical Engineering, National Yang Ming University, Taipei, Taiwan, 4College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
Synopsis
Simultaneous recording of
electrophysiological signals with functional magnetic resonance imaging (fMRI)
can provide a solution for investigation of neurovascular coupling. However,
this technique is challenged by 2 aspects, image artifact from electrode and electrophysiological
noise from magnetic field. We improved our pervious lab-designed microelectrode
array and developed a de-noise method for use of its electrophysiological
recording in 7T MRI. The results showed better structural image
quality and stable acquisition of spike signals and local field potential. The proposed
tool and method has the potential to facilitate simultaneous spike-recording
during MR scanning in 7T MRI and further study the neurovascular coupling.
Introduction
Many
questions are unsolved concerning the relationship between cerebral hemodynamic
change and neural activity. For
investigation of brain function, a thorough understanding of neurovascular
coupling has the potential to link human studies based on functional magnetic
resonance imaging (fMRI) with a large body of animal research based on neural
electrophysiological recording, bridging the gap between deduced brain
activation and neural firing events in human studies due to avoiding invasive
method.1-5
Simultaneous
recording of electrophysiological signals with fMRI can facilitate the research
of neurovascular coupling. However, this technique is limited by aspects such
as image artifact brought by the microelectrode array and electrophysiological
noise induced by gradient and radio-frequency pulses during MR scanning.1,6,7
The present study proposed an improved lab-designed MR-compatible microelectrode
array and evaluated its MR-compatibility and performance of electrophysiological
recording during 7T MRI scanning.Methods
To reduce image artifact of microelectrode array and
reference screw, the manufacturing process was modified and a reference electrode
was added above the 16 recording microelectrodes on the microelectrode array.
The reference electrode replace the function of reference screw (Figure 1). The
cats were anesthetized with 2% isoflurane and a craniotomy was made at either
of two target sites: (1) 5-mm anterior to bregma and 5-mm lateral to midline,
(2) 2-mm anterior to ear bar and 4-mm lateral to midline for implantation of microelectrode
arrays. During MR scanning and electrophysiological recording, the animal was
anesthetized with 0.3 % isoflurane and intravenously (i.v.) injected ketamine
(8 mg/kg*h). To exam the image artifact of microelectrode array, whole-brain
T1-weighted images (T1-WIs) by a turbo spin echo (TSE) sequence (TR=3300 ms,
TE=18 ms, BW=100 Hz, voxel size: 0.5×0.5×0.5 mm3) were obtained
using 7T research system (Siemens, Erlangen, Germany). The neural electrophysiological
signals were recorded by MR-compatible neurophysiological system (TDT, Alachua,
USA) (filter: 300 - 5k Hz, sampling rate: 25 kHz) before, during and after
scanning of an echo-planar imaging (EPI) sequence (TR=2000 ms, TE=24.2 ms,
voxel size: 1.5×1.5×1.5 mm3, 144 measurements). The trace of the microelectrode
array in T1-WIs was compared with that of our previous microelectrode array. Using
the ensemble empirical mode decomposition (EEMD) removed the electrophysiological
noise induced by alterations of MR gradient field, and the then the spikes were
sorted and temporal-frequency spectra were analyzed.Results and Discussion
Figure 2 showed the coronal and sagittal planes
reconstructed from the T1-WI of previous microelectrode array (Figure 2A) and
modified microelectrode array (Figure 2B). The results showed image artifact of the improved
microelectrode array obviously diminished as compared with previous microelectrode
array, implying that the influence of our microelectrode array on structural
imaging under 7T is acceptable. Figure 3 showed the de-noise method using EEMD could
remove the MRI interference from
electrophysiological signals during 7T MR scanning. Figure 4 showed the electrophysiological
signals and temporal-frequency spectrum before and after de-noise
process. The gradient noise is removed while the frequency band of local field
potential (LFP) is retained. This will benefit the extraction of LFP signal
during EPI scanning in the future. After de-noise of gradient field artifact,
the spikes detected and sorted before, during and after EPI scanning were plotted, as showed in Figure 4B. The
amplitudes and shapes of the spike waveforms before and after scanning are similar, implying
that they came from the same firing unit. This suggests that this
microelectrode array can acquire spike signals throughout the functional
imaging process with decent quality in 7T scanner.Conclusion
This study proves that our improved
microelectrode array is MR-compatible to 7T MRI, providing better structural
image quality and stable acquisition of spike signals, and the EEMD de-noise
method could be effective removal of signal artifact by MRI. These advantages endow it with potential to
investigate the relation between single-unit spike signal and BOLD signal
simultaneously, furthering the understanding of coupling between neural and
hemodynamic activities.1-5Acknowledgements
This work was supported by grants from the Fundamental Research Funds for the Central Universities (2016QN81017) and the NationalNatural Science Foundation of China (81527901, 61673346, 81527901) . MR Collaboration, Siemens Healthcare Ltd., Shanghai, China.References
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