Living Rat SSVEP Mapping With Acoustoelectric Brain Imaging

Song, Xizi; Chen, Xinrui; Guo, Jiande; Xu, Minpeng; Ming, Dong

doi:10.1109/tbme.2021.3087177

Cited by 20 publications

(16 citation statements)

References 28 publications

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“…In 2021, Xizi et al achieved millimeter-level spatial resolution steady-state visual evoked potential (SSVEP) measurement in living rats through ABI for the first time. The study systematically verified the feasibility of AE signal decoding brain activities of living rats in terms of timing and frequency [22].…”

Section: Introductionmentioning

confidence: 62%

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In Vivo Transcranial Acoustoelectric Brain Imaging of Different Steady-State Visual Stimulation Paradigms

Song

Chen

et al. 2022

IEEE Trans. Neural Syst. Rehabil. Eng.

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Based on the acoustoelectric (AE) effect, transcranial acoustoelectric brain imaging (tABI) is of potential for brain functional imaging with high temporal and spatial resolution. With nonlinear and non-steady-state, brain electrical signal is microvolt level which makes the development of tABI more difficult. This study demonstrates for the first time in vivo tABI of different steady-state visual stimulation paradigms. Method: To obtain different brain activation maps, we designed three steady-state visual stimulation paradigms, including binocular, left eye and right eye stimulations. Then, tABI was implemented with one fixed recording electrode. And, based on decoded signal power spectrum (tABI-power) and correlation coefficient between steady-state visual evoked potential (SSVEP) and decoded signal (tABI-cc) respectively, two imaging methods were investigated. To quantitatively evaluate tABI spatial resolution performance, ECoG was implemented at the same time. Finally, we explored the performance of tABI transient imaging. Results: Decoded AE signal of activation region is consistent with SSVEP in both time and frequency domains, while that of the nonactivated region is noise. Besides, with transcranial measurement, tABI has a millimeter-level spatial resolution (<3mm). Meanwhile, it can achieve millisecond-level (125ms) transient brain activity imaging. Conclusion: Experiment results validate tABI can realize brain functional imaging under complex paradigms and is expected to develop into a brain functional imaging method with high spatiotemporal resolution.

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Section: Introductionmentioning

confidence: 62%

“…Marked with the red solid arrow in Fig. 1 (a), pulse transmitter time and pulse repetition frequency (PRF) of FUS (120Hz, 0.12% duty cycle) are triggered and controlled by FPGA [22]. The size of the focal spot is 2.8mm (lateral dimensions) when ultrasound pressure decreases around 3dB.…”

Section: B Experiments Setupmentioning

confidence: 99%

In Vivo Transcranial Acoustoelectric Brain Imaging of Different Steady-State Visual Stimulation Paradigms

Song

Chen

et al. 2022

IEEE Trans. Neural Syst. Rehabil. Eng.

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“…The decoded AE signal has a high amplitude response at the fundamental and harmonic of the visual stimulus frequency. This study achieved the first SSVEP measurement with millimeter spatial resolution in ABI live rats (Song et al, 2021 )). The results of phantom experiments and animal experiments demonstrate that ABI is able to localize simulated current sources or firing neurons at high resolution under a variety of conditions, demonstrating the feasibility of ABI for detecting intracranial neuronal firing (Barragan et al, 2020 ).…”

Section: Research Progressmentioning

confidence: 99%

Biological current source imaging method based on acoustoelectric effect: A systematic review

Zhang

Liu

et al. 2022

Front. Neurosci.

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Neuroimaging can help reveal the spatial and temporal diversity of neural activity, which is of utmost importance for understanding the brain. However, conventional non-invasive neuroimaging methods do not have the advantage of high temporal and spatial resolution, which greatly hinders clinical and basic research. The acoustoelectric (AE) effect is a fundamental physical phenomenon based on the change of dielectric conductivity that has recently received much attention in the field of biomedical imaging. Based on the AE effect, a new imaging method for the biological current source has been proposed, combining the advantages of high temporal resolution of electrical measurements and high spatial resolution of focused ultrasound. This paper first describes the mechanism of the AE effect and the principle of the current source imaging method based on the AE effect. The second part summarizes the research progress of this current source imaging method in brain neurons, guided brain therapy, and heart. Finally, we discuss the problems and future directions of this biological current source imaging method. This review explores the relevant research literature and provides an informative reference for this potential non-invasive neuroimaging method.

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“…Among the recent examples of this are the rapid developments of Magnetic Resonance EIT (MREIT) [7], which can potentially add an array of useful diagnostic measures on top of traditional MRI and fMRI. There is also Acousto-Electric Tomography (AET) [8] which is based on the images produced by the electroacoustic effect when conductivity is changed by the deformation of ion-rich tissues. AET can potentially have the same resolution as ultrasonic imaging and holds a promise to resolve the images of absolute conductivity, thus becoming a widespread technique for imaging any human organ in the future.…”

Section: Even Then the Actual Clinical Spread Of The Technique Has Be...mentioning

confidence: 99%

Opinion: The future of electrical impedance tomography

Aristovich

2022

Journal of Electrical Bioimpedance

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Living Rat SSVEP Mapping With Acoustoelectric Brain Imaging

Cited by 20 publications

References 28 publications

In Vivo Transcranial Acoustoelectric Brain Imaging of Different Steady-State Visual Stimulation Paradigms

In Vivo Transcranial Acoustoelectric Brain Imaging of Different Steady-State Visual Stimulation Paradigms

Biological current source imaging method based on acoustoelectric effect: A systematic review

Opinion: The future of electrical impedance tomography

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