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肌萎缩侧索硬化症患者 P300 任务时的功能连接和频率功率改变。

Functional Connectivity and Frequency Power Alterations during P300 Task as a Result of Amyotrophic Lateral Sclerosis.

机构信息

Escuela de Ingeniería y Ciencias, Tecnologico de Monterrey, Monterrey 64849, Mexico.

Escuela de Medicina y Ciencias de la Salud, Tecnologico de Monterrey, Monterrey 64849, Mexico.

出版信息

Sensors (Basel). 2021 Oct 13;21(20):6801. doi: 10.3390/s21206801.

Abstract

Amyotrophic Lateral Sclerosis (ALS) is one of the most aggressive neurodegenerative diseases and is now recognized as a multisystem network disorder with impaired connectivity. Further research for the understanding of the nature of its cognitive affections is necessary to monitor and detect the disease, so this work provides insight into the neural alterations occurring in ALS patients during a cognitive task (P300 oddball paradigm) by measuring connectivity and the power and latency of the frequency-specific EEG activity of 12 ALS patients and 16 healthy subjects recorded during the use of a P300-based BCI to command a robotic arm. For ALS patients, in comparison to Controls, the results ( < 0.05) were: an increment in latency of the peak ERP in the Delta range (OZ) and Alpha range (PO7), and a decreased power in the Beta band among most electrodes; connectivity alterations among all bands, especially in the Alpha band between PO7 and the channels above the motor cortex. The evolution observed over months of an advanced-state patient backs up these findings. These results were used to compute connectivity- and power-based features to discriminate between ALS and Control groups using Support Vector Machine (SVM). Cross-validation achieved a 100% in specificity and 75% in sensitivity, with an overall 89% success.

摘要

肌萎缩侧索硬化症(ALS)是最具侵袭性的神经退行性疾病之一,现在被认为是一种多系统网络障碍,存在连接受损。为了更好地了解其认知影响的本质,需要进一步研究以监测和检测疾病,因此这项工作通过测量连接性以及 12 名 ALS 患者和 16 名健康受试者在使用基于 P300 的脑机接口(BCI)控制机器人手臂时记录的特定频率 EEG 活动的功率和潜伏期,深入了解 ALS 患者在认知任务(P300 Oddball 范式)中发生的神经变化。与对照组相比,ALS 患者的结果(<0.05)为:Delta 频段(OZ)和 Alpha 频段(PO7)中 ERP 峰值潜伏期增加,大多数电极的 Beta 频段功率降低;所有频段之间的连接变化,尤其是在 PO7 和运动皮层上方通道之间的 Alpha 频段。一名进展期患者数月来的演变支持了这些发现。这些结果用于计算基于连接性和功率的特征,以使用支持向量机(SVM)区分 ALS 组和对照组。交叉验证的特异性达到 100%,敏感性达到 75%,总成功率达到 89%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/321b/8541445/8740ab563ce6/sensors-21-06801-g001a.jpg

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