Effect of Electrode Distance and Size on Electrocorticographic Recordings in Human Sensorimotor Cortex.

IF 2.7 4区 医学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Neuroinformatics Pub Date : 2024-10-09 DOI:10.1007/s12021-024-09689-z
Simon H Geukes, Mariana P Branco, Erik J Aarnoutse, Annike Bekius, Julia Berezutskaya, Nick F Ramsey
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Abstract

Subdural electrocorticography (ECoG) is a valuable technique for neuroscientific research and for emerging neurotechnological clinical applications. As ECoG grids accommodate increasing numbers of electrodes and higher densities with new manufacturing methods, the question arises at what point the benefit of higher density ECoG is outweighed by spatial oversampling. To clarify the optimal spacing between ECoG electrodes, in the current study we evaluate how ECoG grid density relates to the amount of non-shared neurophysiological information between electrode pairs, focusing on the sensorimotor cortex. We simultaneously recorded high-density (HD, 3 mm pitch) and ultra-high-density (UHD, 0.9 mm pitch) ECoG, obtained intraoperatively from six participants. We developed a new metric, the normalized differential root mean square (ndRMS), to quantify the information that is not shared between electrode pairs. The ndRMS increases with inter-electrode center-to-center distance up to 15 mm, after which it plateaus. We observed differences in ndRMS between frequency bands, which we interpret in terms of oscillations in frequencies below 32 Hz with phase differences between pairs, versus (un)correlated signal fluctuations in the frequency range above 64 Hz. The finding that UHD recordings yield significantly higher ndRMS than HD recordings is attributed to the amount of tissue sampled by each electrode. These results suggest that ECoG densities with submillimeter electrode distances are likely justified.

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电极距离和大小对人类感觉运动皮层皮层电图记录的影响
硬膜下皮层电图(ECoG)是神经科学研究和新兴神经技术临床应用的重要技术。随着 ECoG 网格在新的制造方法下可容纳越来越多的电极和更高的密度,问题是高密度 ECoG 的优势在什么时候会被空间过采样所抵消。为了明确心电图电极之间的最佳间距,我们在本研究中评估了心电图网格密度与电极对之间非共享神经生理信息量的关系,重点是感觉运动皮层。我们同时记录了六名参与者术中获得的高密度(HD,间距 3 毫米)和超高密度(UHD,间距 0.9 毫米)心电图。我们开发了一种新指标--归一化差分均方根(ndRMS),用于量化电极对之间未共享的信息。ndRMS随电极间中心到中心距离的增加而增加,最高可达15毫米,之后趋于平稳。我们观察到不同频段的 ndRMS 存在差异,我们将其解释为:32 Hz 以下频率的振荡与电极对之间的相位差,以及 64 Hz 以上频率范围的(非)相关信号波动。UHD 记录的 ndRMS 明显高于 HD 记录,这是因为每个电极采样的组织量不同。这些结果表明,采用亚毫米电极距离的心电图密度可能是合理的。
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来源期刊
Neuroinformatics
Neuroinformatics 医学-计算机:跨学科应用
CiteScore
6.00
自引率
6.70%
发文量
54
审稿时长
3 months
期刊介绍: Neuroinformatics publishes original articles and reviews with an emphasis on data structure and software tools related to analysis, modeling, integration, and sharing in all areas of neuroscience research. The editors particularly invite contributions on: (1) Theory and methodology, including discussions on ontologies, modeling approaches, database design, and meta-analyses; (2) Descriptions of developed databases and software tools, and of the methods for their distribution; (3) Relevant experimental results, such as reports accompanie by the release of massive data sets; (4) Computational simulations of models integrating and organizing complex data; and (5) Neuroengineering approaches, including hardware, robotics, and information theory studies.
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