Laboratory of Neuroinformatics, Nencki Institute of Experimental Biology of Polish Academy of Sciences, Warsaw, Poland.
Centre for Neural Circuits and Behaviour, Department of Physiology Anatomy and Genetics, University of Oxford, Oxford, United Kingdom.
PLoS Comput Biol. 2021 May 14;17(5):e1008615. doi: 10.1371/journal.pcbi.1008615. eCollection 2021 May.
Extracellular recording is an accessible technique used in animals and humans to study the brain physiology and pathology. As the number of recording channels and their density grows it is natural to ask how much improvement the additional channels bring in and how we can optimally use the new capabilities for monitoring the brain. Here we show that for any given distribution of electrodes we can establish exactly what information about current sources in the brain can be recovered and what information is strictly unobservable. We demonstrate this in the general setting of previously proposed kernel Current Source Density method and illustrate it with simplified examples as well as using evoked potentials from the barrel cortex obtained with a Neuropixels probe and with compatible model data. We show that with conceptual separation of the estimation space from experimental setup one can recover sources not accessible to standard methods.
细胞外记录是一种在动物和人类中用于研究大脑生理学和病理学的可及技术。随着记录通道的数量和密度的增加,自然而然地会问增加的通道带来了多少改进,以及我们如何最优地利用新的能力来监测大脑。在这里,我们表明,对于任何给定的电极分布,我们都可以准确地确定可以恢复大脑中当前源的哪些信息,以及哪些信息是严格不可观测的。我们在先前提出的核电流源密度方法的一般设置中证明了这一点,并通过简化的例子以及使用神经像素探针获得的桶状皮层诱发电位和兼容的模型数据来说明这一点。我们表明,通过将估计空间与实验设置概念上分离,人们可以恢复到标准方法无法访问的源。