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利用非侵入性超高密度脑记录技术进行中央沟定位。

Mapping of the central sulcus using non-invasive ultra-high-density brain recordings.

机构信息

g.Tec Medical Engineering GmbH, Schiedlberg, Austria.

Institute for Integrated Circuits, Johannes Kepler University, Linz, Austria.

出版信息

Sci Rep. 2024 Mar 19;14(1):6527. doi: 10.1038/s41598-024-57167-y.

DOI:10.1038/s41598-024-57167-y
PMID:38499709
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10948849/
Abstract

Brain mapping is vital in understanding the brain's functional organization. Electroencephalography (EEG) is one of the most widely used brain mapping approaches, primarily because it is non-invasive, inexpensive, straightforward, and effective. Increasing the electrode density in EEG systems provides more neural information and can thereby enable more detailed and nuanced mapping procedures. Here, we show that the central sulcus can be clearly delineated using a novel ultra-high-density EEG system (uHD EEG) and somatosensory evoked potentials (SSEPs). This uHD EEG records from 256 channels with an inter-electrode distance of 8.6 mm and an electrode diameter of 5.9 mm. Reconstructed head models were generated from T1-weighted MRI scans, and electrode positions were co-registered to these models to create topographical plots of brain activity. EEG data were first analyzed with peak detection methods and then classified using unsupervised spectral clustering. Our topography plots of the spatial distribution from the SSEPs clearly delineate a division between channels above the somatosensory and motor cortex, thereby localizing the central sulcus. Individual EEG channels could be correctly classified as anterior or posterior to the central sulcus with 95.2% accuracy, which is comparable to accuracies from invasive intracranial recordings. Our findings demonstrate that uHD EEG can resolve the electrophysiological signatures of functional representation in the brain at a level previously only seen from surgically implanted electrodes. This novel approach could benefit numerous applications, including research, neurosurgical mapping, clinical monitoring, detection of conscious function, brain-computer interfacing (BCI), rehabilitation, and mental health.

摘要

脑图谱对于理解大脑的功能组织至关重要。脑电图 (EEG) 是最广泛使用的脑图谱方法之一,主要是因为它是非侵入性、廉价、直接且有效的。增加 EEG 系统中的电极密度可以提供更多的神经信息,从而能够进行更详细和细致的映射过程。在这里,我们展示了一种新的超高密度 EEG 系统 (uHD EEG) 和体感诱发电位 (SSEP) 可以清晰地描绘中央沟。这种 uHD EEG 通过 256 个通道进行记录,电极间距为 8.6mm,电极直径为 5.9mm。从 T1 加权 MRI 扫描生成重建的头部模型,并将电极位置与这些模型进行配准,以创建大脑活动的地形图。首先使用峰检测方法对 EEG 数据进行分析,然后使用无监督谱聚类对其进行分类。我们从 SSEP 获得的空间分布地形图清楚地描绘了体感和运动皮层上方通道之间的划分,从而定位了中央沟。单个 EEG 通道可以以 95.2%的准确率正确分类为中央沟的前后,这与侵入性颅内记录的准确率相当。我们的研究结果表明,uHD EEG 可以解析大脑中功能表现的电生理特征,其分辨率水平以前仅能通过手术植入电极获得。这种新方法可能会受益于许多应用,包括研究、神经外科图谱、临床监测、意识功能检测、脑机接口 (BCI)、康复和心理健康。

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本文引用的文献

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A motor association area in the depths of the central sulcus.中央沟深处的运动联合区。
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Individual finger movement decoding using a novel ultra-high-density electroencephalography-based brain-computer interface system.使用基于新型超高密度脑电图的脑机接口系统进行个体手指运动解码。
Front Neurosci. 2022 Oct 19;16:1009878. doi: 10.3389/fnins.2022.1009878. eCollection 2022.
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Cortical response variability is driven by local excitability changes with somatotopic organization.
皮质反应变异性由具有躯体定位组织的局部兴奋性变化驱动。
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Sci Rep. 2021 Sep 6;11(1):17720. doi: 10.1038/s41598-021-96660-6.
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