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肌萎缩侧索硬化症中网络损伤的神经生理学生物标志物

Neurophysiological biomarkers of networks impairment in amyotrophic lateral sclerosis.

作者信息

Fasano Antonio, Vacchiano Veria, Bonan Luigi, McMackin Roisin, Nasseroleslami Bahman, Hardiman Orla, Liguori Rocco

机构信息

Academic Unit of Neurology, School of Medicine, Trinity Biomedical Sciences Institute, Trinity College Dublin, University of Dublin, Dublin, Ireland.

UOC Clinica Neurologica, IRCCS Istituto Delle Scienze Neurologiche di Bologna, Bologna, Italy.

出版信息

J Neurol. 2025 Jul 14;272(8):507. doi: 10.1007/s00415-025-13229-3.

Abstract

Amyotrophic lateral sclerosis (ALS) is a heterogeneous disease involving motor system as well as cognitive domains. There is an urgent need for objective biomarkers that can subcategorize subjects into homogeneous groups based on disease pathobiology.In this review, we discuss novel neurophysiological techniques that provide detailed, multiscale and multidimensional insights into ALS networks impairment, spanning from the micro-columnar architecture of the motor cortex to motor and cognitive networks. Specifically, Transcranial Magnetic Stimulation (TMS) paradigms can be used to evaluate the status of excitatory and inhibitory networks within the layers of the motor cortex. Abnormalities in functional connectivity between the two motor areas, as well as within the frontal-temporal and frontal parietal networks, can be characterized using novel source-localization analysis of high-density electroencephalography (EEG). TMS and EEG techniques provide data that correlate with both motor and cognitive impairment. Furthermore, cortico-muscular coherence analysis can be used to assess functional dysregulation within the entire motor system, and novel surface electromyography (EMG) techniques, such as motor unit number estimation, motor unit number index, and nerve excitability testing studies provide useful insights into axonal loss and membrane ion channel dysfunctions in lower motor neurons.The integrated analysis of these biomarkers provides valuable insights into the clinical and biologic heterogeneity of the disease, aiding the intelligent design of next generation precision-based therapeutics.

摘要

肌萎缩侧索硬化症(ALS)是一种涉及运动系统以及认知领域的异质性疾病。迫切需要能够根据疾病病理生物学将患者细分为同质组的客观生物标志物。在本综述中,我们讨论了新颖的神经生理学技术,这些技术能对ALS网络损伤提供详细、多尺度和多维度的见解,范围从运动皮层的微柱状结构到运动和认知网络。具体而言,经颅磁刺激(TMS)范式可用于评估运动皮层各层内兴奋性和抑制性网络的状态。使用高密度脑电图(EEG)的新型源定位分析可以表征两个运动区域之间以及额颞和额顶网络内功能连接的异常。TMS和EEG技术提供了与运动和认知障碍相关的数据。此外,皮质-肌肉相干分析可用于评估整个运动系统内的功能失调,而新型表面肌电图(EMG)技术,如运动单位数量估计、运动单位数量指数和神经兴奋性测试研究,为下运动神经元的轴突损失和膜离子通道功能障碍提供了有用的见解。对这些生物标志物的综合分析为该疾病的临床和生物学异质性提供了有价值的见解,有助于下一代基于精准治疗的智能设计。

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