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高密度多孔石墨烯阵列可用于检测和分析传播中的皮层波和螺旋波。

High-Density Porous Graphene Arrays Enable Detection and Analysis of Propagating Cortical Waves and Spirals.

机构信息

Department of Electrical & Computer Engineering, University of California, San Diego, La Jolla, CA, 92093, USA.

出版信息

Sci Rep. 2018 Nov 20;8(1):17089. doi: 10.1038/s41598-018-35613-y.

Abstract

Cortical propagating waves have recently attracted significant attention by the neuroscience community. These travelling waves have been suggested to coordinate different brain areas and play roles in assisting neural plasticity and learning. However, it is extremely challenging to record them with very fine spatial scales over large areas to investigate their effect on neural dynamics or network connectivity changes. In this work, we employ high-density porous graphene microelectrode arrays fabricated using laser pyrolysis on flexible substrates to study the functional network connectivity during cortical propagating waves. The low-impedance porous graphene arrays are used to record cortical potentials during theta oscillations and drug-induced seizures in vivo. Spatiotemporal analysis on the neural recordings reveal that theta oscillations and epileptiform activities have distinct characteristics in terms of both synchronization and resulting propagating wave patterns. To investigate the network connectivity during the propagating waves, we perform network analysis. The results show that the propagating waves are consistent with the functional connectivity changes in the neural circuits, suggesting that the underlying network states are reflected by the cortical potential propagation patterns.

摘要

皮质传播波最近引起了神经科学界的广泛关注。这些传播波被认为可以协调不同的大脑区域,并在协助神经可塑性和学习方面发挥作用。然而,要以非常精细的空间尺度在大面积上记录它们,以研究它们对神经动力学或网络连通性变化的影响,这极具挑战性。在这项工作中,我们使用激光热解在柔性衬底上制造的高密度多孔石墨烯微电极阵列来研究皮质传播波过程中的功能网络连通性。低阻抗多孔石墨烯阵列用于记录体内θ振荡和药物诱导的癫痫发作期间的皮质电位。对神经记录的时空分析表明,θ振荡和癫痫样活动在同步和产生的传播波模式方面具有明显的特征。为了研究传播波期间的网络连通性,我们进行了网络分析。结果表明,传播波与神经回路中的功能连通性变化一致,这表明潜在的网络状态反映在皮质电位传播模式中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1be3/6244298/449645c5248a/41598_2018_35613_Fig1_HTML.jpg

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