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Feasibility analysis of genetically-encoded calcium indicators as a neural signal source for all-optical brain-machine interfaces

机译:基因编码钙指示剂作为全光脑机接口神经信号源的可行性分析

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Optical techniques such as two-photon (2p) calcium imaging have the potential to transform the way we interrogate neural circuits, both in the realm of basic neuroscience and in the development of brain-machine interfaces (BMIs). This may be possible by overcoming some of the limitations of electrophysiological methods. Here we ask if optical imaging signals, in particular 2p GCaMP6 calcium imaging signals, can benefit BMIs despite their relatively long activity-response time constants, low signal-to-noise ratios (SNRs), and slow acquisition frame rates. We employed motor cortical electrode array recordings as the basis for generating synthetic 2p GCaMP signals. We then decoded movement kinematics from these surrogate data using a state-of-the-art BMI decoder algorithm. We found that it was possible to decode the position and velocity of the hand from synthetic imaging signals. We quantified the decoder performance using standard mean squared errors (MSEs) and Pearson's correlation coefficient (r) measures. Decode quality varied considerably as a function of SNR and the frame rate of data acquisition. Future computational and experimental research is required to quantify SNR more accurately and to increase the imaging frame rate while maintaining high SNR, in order to improve all-optical BMI (o-BMI) performance. This study should help establish the feasibility and design space of o-BMIs.
机译:诸如双光子(2p)钙成像之类的光学技术有潜力在基础神经科学领域和脑机接口(BMI)的发展中改变我们询问神经回路的方式。通过克服电生理方法的某些局限性,这是可能的。在这里,我们问光学成像信号(特别是2p GCaMP6钙成像信号)是否可以使BMI受益,尽管它们具有相对较长的活动响应时间常数,低信噪比(SNR)和较慢的采集帧速率。我们采用了运动皮质电极阵列记录作为生成合成2p GCaMP信号的基础。然后,我们使用最新的BMI解码器算法从这些替代数据中解码运动运动学。我们发现可以从合成成像信号中解码手的位置和速度。我们使用标准均方误差(MSE)和Pearson相关系数(r)度量来量化解码器性能。解码质量随SNR和数据采集帧速率的变化而变化很大。为了改善全光BMI(o-BMI)性能,需要进行进一步的计算和实验研究,以更精确地量化SNR,并在保持高SNR的同时提高成像帧速率。这项研究应有助于建立o-BMI的可行性和设计空间。

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