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使用高密度脑电栅格记录的 SSEP 空间分布实时勾画中央沟。

Real-Time Delineation of the Central Sulcus with the Spatial Profile of SSEPs Captured with High-Density Ecog Grid.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:4892-4895. doi: 10.1109/EMBC48229.2022.9871900.

DOI:10.1109/EMBC48229.2022.9871900
PMID:36085684
Abstract

Cortical mapping is widely employed to define the sensorimotor area and delineate the central sulcus (CS) during awake craniotomies. The approach involves the gold standard somatosensory evoked potentials (SSEPs) recorded with electrocorticogram (ECoG) strip electrodes. However, the evoked response can be misconstrued from the manual peak interpretation due to the poor spatial resolution of the strip electrode or when the electrode does not precisely cover the desired cortical area. This can lead to unintentional damage to the eloquent cortex. We present a soft real-time computer based visualization system that uses recorded SSEPs with a subdural grid to aid in cortical mapping. The neural data during electrical stimulation of the median nerve at 0.6Hz are picked up with a bio-amplifier at 2.4kHz. The stimulation artifact recorded from the bipolar electromyogram (EMG) is used as the stimulation onset. The ECoG data are assessed online with MATLAB Simulink to process and visualize the SSEPs waveform. The visualization system is programmed to display the SSEPs peak activation as a heat map on a 2D grid and projected onto a screen, showcasing the nature of the cortical activities over the contact surface area. Since the grid occupies a large cortical surface, the heatmap is able to delineate the central sulcus. The map can be viewed at any time point along the SSEP trace without the need for peak interpretation. With the goal to provide additional information during cortical mapping and facilitate interpretation of ECoG grid data, we believe that this visualization system will aid in rapid definition of the sensorimotor area during surgical planning. Clinical Relevance- This real-time visualization system can be used to delineate the central sulcus in a short time during awake craniotomies.

摘要

皮层映射被广泛用于在清醒开颅术中定义感觉运动区并描绘中央沟(CS)。该方法涉及使用皮层电图(ECoG)条带电极记录的金标准体感诱发电位(SSEP)。然而,由于条带电极的空间分辨率较差,或者当电极不能精确覆盖所需的皮质区域时,诱发反应可能会被错误解释。这可能导致对语言中枢的无意损伤。我们提出了一种基于计算机的实时软可视化系统,该系统使用记录的 SSEP 和硬膜下网格来辅助皮层映射。在以 0.6Hz 刺激正中神经时,使用生物放大器以 2.4kHz 的频率采集神经数据。从双极肌电图(EMG)记录的刺激伪影被用作刺激起始。使用 MATLAB Simulink 在线评估 ECoG 数据,以处理和可视化 SSEP 波形。可视化系统被编程为将 SSEP 峰激活显示为 2D 网格上的热图,并投影到屏幕上,展示接触表面积上的皮质活动性质。由于网格占据了较大的皮质表面,因此热图能够描绘中央沟。无需进行峰值解释,即可在 SSEP 迹线上的任何时间点查看地图。我们相信,该可视化系统旨在为皮层映射过程中提供额外的信息,并有助于解释 ECoG 网格数据,它将有助于在手术规划期间快速定义感觉运动区。临床相关性- 这种实时可视化系统可以在清醒开颅术中短时间内描绘中央沟。

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