首页> 外文期刊>Clinical EEG and neuroscience: official journal of the EEG and Clinical Neuroscience Society (ENCS) >EEG Synchronization Evaluation: A New Diagnostic Tool for Predicting the Progression of Alzheimer's disease
【24h】

EEG Synchronization Evaluation: A New Diagnostic Tool for Predicting the Progression of Alzheimer's disease

机译:脑电同步评估:一种新的诊断工具,用于预测阿尔茨海默氏病的进展

获取原文
获取原文并翻译 | 示例
       

摘要

Alzheimer's disease (AD) is known as a leading cause of dementia in elderly persons. It is a chronic neurodegenerative disorder characterized by progressive cognitive dysfunction. AD can disrupt functional connectivity in distributed cortical networks. The S-estimator, which is a measure of multivariate intraregional synchronization, was analyzed in this study. Twenty patients with AD and 20 age-matched controls were tested at baseline and after 1 year to evaluate the potential of synchronization to be a possible marker of AD progression. All the subjects had clinical evaluations and electroencephalography (EEG) at baseline and post 1 year. Hyposynchronization had an important effect in the medial temporal and frontal regions, while there were no significant effects for hypersynchronization. Hypersynchronized clusters changed more slowly with time (P = .067), whereas hyposynchronized clusters changed more quickly (P = .032). Hyposynchronized cluster-averaged S-estimator correlated negatively with progression of AD (r = -0.98769, P = .0103). In conclusion, the present study provides a whole-brain, AD-specific phenotype of temporal coordination in distributed cortical networks, which is an early diagnostic tool for progression of AD.
机译:阿尔茨海默氏病(AD)是老年人痴呆症的主要原因。它是一种以进行性认知功能障碍为特征的慢性神经退行性疾病。 AD会破坏分布式皮质网络中的功能连接。在这项研究中分析了S估计量,它是对多变量区域内同步的一种度量。在基线和1年后对20名患有AD的患者和20名年龄匹配的对照进行测试,以评估同步化可能成为AD进展的标志。所有受试者在基线和1年后均进行了临床评估和脑电图(EEG)。超同步在内侧颞叶和额叶内侧区域具有重要作用,而对于超同步则没有显着影响。超同步群集的变化随时间变化较慢(P = .067),而低同步群集的变化则较快(P = .032)。超同步簇平均S估计量与AD的进展呈负相关(r = -0.98769,P = .0103)。总之,本研究提供了分布式皮质网络中时间协调的全脑,AD特异表型,这是AD进展的早期诊断工具。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号