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多发性硬化症的认知障碍:临床管理、MRI 和治疗途径。

Cognitive impairment in multiple sclerosis: clinical management, MRI, and therapeutic avenues.

机构信息

Department of Neurology and Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.

Department of Neurology, University of Florence, IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy.

出版信息

Lancet Neurol. 2020 Oct;19(10):860-871. doi: 10.1016/S1474-4422(20)30277-5. Epub 2020 Sep 16.

Abstract

Multiple sclerosis is a chronic, demyelinating disease of the CNS. Cognitive impairment is a sometimes neglected, yet common, sign and symptom with a profound effect on instrumental activities of daily living. The prevalence of cognitive impairment in multiple sclerosis varies across the lifespan and might be difficult to distinguish from other causes in older age. MRI studies show that widespread changes to brain networks contribute to cognitive dysfunction, and grey matter atrophy is an early sign of potential future cognitive decline. Neuropsychological research suggests that cognitive processing speed and episodic memory are the most frequently affected cognitive domains. Narrowing evaluation to these core areas permits brief, routine assessment in the clinical setting. Owing to its brevity, reliability, and sensitivity, the Symbol Digit Modalities Test, or its computer-based analogues, can be used to monitor episodes of acute disease activity. The Symbol Digit Modalities Test can also be used in clinical trials, and data increasingly show that cognitive processing speed and memory are amenable to cognitive training interventions.

摘要

多发性硬化症是一种中枢神经系统的慢性脱髓鞘疾病。认知障碍是一种常被忽视但常见的症状和体征,对日常生活的工具性活动有深远的影响。认知障碍在多发性硬化症中的患病率在整个生命周期中有所不同,在老年时可能难以与其他原因区分。磁共振成像研究表明,大脑网络的广泛变化导致认知功能障碍,灰质萎缩是潜在未来认知能力下降的早期迹象。神经心理学研究表明,认知处理速度和情景记忆是受影响最频繁的认知领域。将评估范围缩小到这些核心领域,可以在临床环境中进行简短、常规的评估。由于其简短、可靠和敏感,符号数字模态测试或其基于计算机的模拟可以用于监测急性疾病活动发作。符号数字模态测试也可用于临床试验,越来越多的数据表明,认知处理速度和记忆可以通过认知训练干预来改善。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e327/10011205/a81fe07fee9e/gr1_lrg.jpg

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