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利用立体脑电图中基于任务的电生理变化对运动和言语进行功能映射。

Functional mapping of movement and speech using task-based electrophysiological changes in stereoelectroencephalography.

作者信息

Jensen Michael A, Fine Anthony, Kerezoudis Panagiotis, Wong-Kisiel Lily, Alden Eva C, Hermes Dora, Miller Kai J

机构信息

Departments of1Neurosurgery.

2Neurology.

出版信息

J Neurosurg. 2024 Aug 30;142(2):311-323. doi: 10.3171/2024.5.JNS24434. Print 2025 Feb 1.

Abstract

OBJECTIVE

Stereoelectroencephalography (SEEG) has become the predominant method for intracranial seizure localization. When imaging, semiology, and scalp EEG findings are not in full agreement or definitively localizing, implanted SEEG recordings are used to test candidate seizure onset zones (SOZs). Discovered SOZs may then be targeted for resection, laser ablation, or neurostimulation. If an SOZ is eloquent, resection and ablation are both contraindicated, so identifying functional representation is crucial for therapeutic decision-making. The authors present a novel functional brain mapping technique that utilizes task-based electrophysiological changes in SEEG during behavioral tasks and test this in pediatric and adult patients.

METHODS

SEEG was recorded in 20 patients with epilepsy who ranged in age from 6 to 39 years (12 female, 18 of 20 patients < 21 years of age) and underwent implanted monitoring to identify seizure onset. Each performed 1) visually cued simple repetitive movements of the hand, foot, or tongue while electromyography was recorded; and 2) simple picture-naming or verb-generation speech tasks while audio was recorded. Broadband changes in the power spectrum of the SEEG recording were compared between behavior and rest.

RESULTS

Electrophysiological functional mapping of movement and/or speech areas was completed in all 20 patients. Eloquent representation was identified in both cortex and white matter and generally corresponded to classically described functional anatomical organization as well as other clinical mapping results. Robust maps of brain activity were identified in healthy brain, regions of developmental or acquired structural abnormality, and SOZs.

CONCLUSIONS

Task-based electrophysiological mapping using broadband changes in the SEEG signal reliably identifies movement and speech representation in pediatric and adult epilepsy patients.

摘要

目的

立体定向脑电图(SEEG)已成为颅内癫痫灶定位的主要方法。当影像学、症状学和头皮脑电图结果不完全一致或无法明确定位时,植入的SEEG记录用于测试候选癫痫发作起始区(SOZ)。然后可将发现的SOZ作为切除、激光消融或神经刺激的靶点。如果SOZ涉及功能区,则切除和消融均为禁忌,因此识别功能区对于治疗决策至关重要。作者提出了一种新的功能性脑图谱技术,该技术利用行为任务期间SEEG中基于任务的电生理变化,并在儿科和成人患者中进行测试。

方法

对20例年龄在6至39岁之间的癫痫患者(12例女性,20例中有18例年龄<21岁)进行SEEG记录,并进行植入监测以确定癫痫发作起始。每位患者分别进行:1)在记录肌电图时,对手、脚或舌头进行视觉提示的简单重复运动;2)在记录音频时,进行简单的图片命名或动词生成言语任务。比较行为和休息时SEEG记录的功率谱宽带变化。

结果

所有20例患者均完成了运动和/或言语区域的电生理功能图谱绘制。在皮质和白质中均发现了明确的功能区,通常与经典描述的功能解剖结构以及其他临床图谱结果一致。在健康脑区、发育性或后天性结构异常区域以及SOZ中均发现了强大的脑活动图谱。

结论

利用SEEG信号的宽带变化进行基于任务的电生理图谱绘制,能够可靠地识别儿科和成人癫痫患者的运动和言语功能区。

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