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电极表面积对人脑颅内 EEG 高频振荡测量的影响。

Electrode Surface Area Impacts Measurement of High Frequency Oscillations in Human Intracranial EEG.

出版信息

IEEE Trans Biomed Eng. 2024 Nov;71(11):3283-3292. doi: 10.1109/TBME.2024.3416440. Epub 2024 Oct 25.

DOI:10.1109/TBME.2024.3416440
PMID:38896508
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11723563/
Abstract

OBJECTIVE

High-frequency oscillations (HFOs) are a promising prognostic biomarker of surgical outcome in patients with epilepsy. Their rates of occurrence and morphology have been studied extensively using recordings from electrodes of various geometries. While electrode size is a potential confounding factor in HFO studies, it has largely been disregarded due to a lack of consistent evidence. Therefore, we designed an experiment to directly test the impact of electrode size on HFO measurement.

METHODS

We first simulated HFO measurement using a lumped model of the electrode-tissue interaction. Then eight human subjects were each implanted with a high-density 8x8 grid of subdural electrodes. After implantation, the electrode sizes were altered using a technique recently developed by our group, enabling intracranial EEG recordings for three different electrode surface areas from a static brain location. HFOs were automatically detected in the data and their characteristics were calculated.

RESULTS

The human subject measurements were consistent with the model. Specifically, HFO rate measured per area of tissue decreased significantly as electrode surface area increased. The smallest electrodes recorded more fast ripples than ripples. Amplitude of detected HFOs also decreased as electrode surface area increased, while duration and peak frequency were unaffected.

CONCLUSION

These results suggest that HFO rates measured using electrodes of different surface areas cannot be compared directly.

SIGNIFICANCE

This has significant implications for HFOs as a tool for surgical planning, particularly for individual patients implanted with electrodes of multiple sizes and comparisons of HFO rate made across patients and studies.

摘要

目的

高频振荡(HFOs)是癫痫患者手术结果的有前途的预后生物标志物。已经使用各种几何形状的电极记录广泛研究了它们的发生频率和形态。虽然电极尺寸是 HFO 研究中的一个潜在混杂因素,但由于缺乏一致的证据,它在很大程度上被忽视了。因此,我们设计了一项实验来直接测试电极尺寸对 HFO 测量的影响。

方法

我们首先使用电极-组织相互作用的集中模型模拟 HFO 测量。然后,八名人类受试者每人都植入了一个高密度 8x8 网格的硬脑膜下电极。植入后,我们使用我们小组最近开发的技术改变了电极尺寸,从而能够从静态脑位置记录三个不同电极表面积的颅内 EEG 记录。在数据中自动检测 HFO 并计算其特征。

结果

人体测量结果与模型一致。具体而言,随着电极表面积的增加,每单位组织测量的 HFO 率显着降低。最小的电极记录的快尖波比尖波多。随着电极表面积的增加,检测到的 HFO 的幅度减小,而持续时间和峰值频率不受影响。

结论

这些结果表明,使用不同表面积的电极测量的 HFO 率不能直接比较。

意义

这对 HFO 作为手术计划工具具有重要意义,特别是对于植入多个尺寸电极的个体患者以及在患者和研究之间进行 HFO 率比较。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b45/11723563/c493f76f115d/nihms-2031822-f0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b45/11723563/c77bb02139f9/nihms-2031822-f0001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b45/11723563/e85f1ff2b19b/nihms-2031822-f0004.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b45/11723563/927fe399f6bc/nihms-2031822-f0006.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b45/11723563/c493f76f115d/nihms-2031822-f0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b45/11723563/c77bb02139f9/nihms-2031822-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b45/11723563/c5062137ba94/nihms-2031822-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b45/11723563/e52d30af31da/nihms-2031822-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b45/11723563/e85f1ff2b19b/nihms-2031822-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b45/11723563/14b3d5abef12/nihms-2031822-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b45/11723563/927fe399f6bc/nihms-2031822-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b45/11723563/87c448785265/nihms-2031822-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b45/11723563/9bd4cb9630f8/nihms-2031822-f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b45/11723563/c493f76f115d/nihms-2031822-f0009.jpg

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本文引用的文献

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Improving Fast Ripples Recording With Model-Guided Design of Microelectrodes.利用微电极的模型引导设计提高快速涟漪记录。
IEEE Trans Biomed Eng. 2023 Aug;70(8):2496-2505. doi: 10.1109/TBME.2023.3250763. Epub 2023 Jul 18.
2
A novel method for dynamically altering the surface area of intracranial EEG electrodes.一种用于动态改变颅内 EEG 电极表面积的新方法。
J Neural Eng. 2023 Mar 7;20(2):026002. doi: 10.1088/1741-2552/acb79f.
3
Epileptogenic high-frequency oscillations present larger amplitude both in mesial temporal and neocortical regions.
致痫性高频振荡在颞叶内侧和新皮质区域均呈现出更大的振幅。
Front Hum Neurosci. 2022 Sep 29;16:984306. doi: 10.3389/fnhum.2022.984306. eCollection 2022.
4
Trends in the use of automated algorithms for the detection of high-frequency oscillations associated with human epilepsy.用于检测与人癫痫相关的高频振荡的自动化算法的使用趋势。
Epilepsia. 2020 Aug;61(8):1553-1569. doi: 10.1111/epi.16622. Epub 2020 Jul 30.
5
Detection of anomalous high-frequency events in human intracranial EEG.人类颅内脑电图中异常高频事件的检测
Epilepsia Open. 2020 May 20;5(2):263-273. doi: 10.1002/epi4.12397. eCollection 2020 Jun.
6
Unsupervised Detection of High-Frequency Oscillations Using Time-Frequency Maps and Computer Vision.使用时频图和计算机视觉技术对高频振荡进行无监督检测。
Front Neurosci. 2020 Mar 23;14:183. doi: 10.3389/fnins.2020.00183. eCollection 2020.
7
High-density ECoG improves the detection of high frequency oscillations that predict seizure outcome.高密度 ECoG 提高了高频振荡的检测,高频振荡可以预测癫痫发作的结果。
Clin Neurophysiol. 2019 Oct;130(10):1882-1888. doi: 10.1016/j.clinph.2019.07.008. Epub 2019 Jul 23.
8
Optimal Electrode Size for Multi-Scale Extracellular-Potential Recording From Neuronal Assemblies.用于神经元集合多尺度细胞外电位记录的最佳电极尺寸
Front Neurosci. 2019 Apr 26;13:385. doi: 10.3389/fnins.2019.00385. eCollection 2019.
9
Electrode-Electrolyte Interface Impedance Characterization of Ultra-Miniaturized Microelectrode Arrays Over Materials and Geometries for Sub-Cellular and Cellular Sensing and Stimulation.超微型微电极阵列在用于亚细胞和细胞传感与刺激的材料和几何结构上的电极-电解质界面阻抗特性研究。
IEEE Trans Nanobioscience. 2019 Apr;18(2):248-252. doi: 10.1109/TNB.2019.2905509. Epub 2019 Mar 15.
10
Localization of the Epileptogenic Zone Using High Frequency Oscillations.利用高频振荡定位致痫区
Front Neurol. 2019 Feb 12;10:94. doi: 10.3389/fneur.2019.00094. eCollection 2019.