Department of Neurology and Neuroscience Center, The First Hospital of Jilin University, Changchun, 130021, China.
Department of Mechanical Engineering, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.
J Neurol. 2024 May;271(5):2238-2257. doi: 10.1007/s00415-024-12201-x. Epub 2024 Feb 17.
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease characterized by motor neuron degeneration. The development of ALS involves metabolite alterations leading to tissue lesions in the nervous system. Recent advances in neuroimaging have significantly improved our understanding of the underlying pathophysiology of ALS, with findings supporting the corticoefferent axonal disease progression theory. Current studies on neuroimaging in ALS have demonstrated inconsistencies, which may be due to small sample sizes, insufficient statistical power, overinterpretation of findings, and the inherent heterogeneity of ALS. Deriving meaningful conclusions solely from individual imaging metrics in ALS studies remains challenging, and integrating multimodal imaging techniques shows promise for detecting valuable ALS biomarkers. In addition to giving an overview of the principles and techniques of different neuroimaging modalities, this review describes the potential of neuroimaging biomarkers in the diagnosis and prognostication of ALS. We provide an insight into the underlying pathology, highlighting the need for standardized protocols and multicenter collaborations to advance ALS research.
肌萎缩侧索硬化症(ALS)是一种以运动神经元变性为特征的进行性神经退行性疾病。ALS 的发展涉及代谢物的改变,导致神经系统组织损伤。神经影像学的最新进展极大地提高了我们对 ALS 潜在病理生理学的理解,研究结果支持皮质传出轴索疾病进展理论。目前关于 ALS 的神经影像学研究存在不一致性,这可能是由于样本量小、统计效力不足、对研究结果的过度解释以及 ALS 的固有异质性所致。仅从 ALS 研究中的个别影像学指标得出有意义的结论仍然具有挑战性,整合多模态影像学技术有望检测到有价值的 ALS 生物标志物。除了概述不同神经影像学模式的原理和技术外,本综述还描述了神经影像学生物标志物在 ALS 诊断和预后中的潜力。我们深入探讨了潜在的病理学,强调需要标准化方案和多中心合作来推进 ALS 研究。
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