Suppr超能文献

在滑铁卢 - 斯坦福团体量表的标准任务期间,催眠易感性对脑电图信号混沌动力学的影响。

The impacts of hypnotic susceptibility on chaotic dynamics of EEG signals during standard tasks of Waterloo-Stanford Group Scale.

作者信息

Yargholi Elahe', Nasrabadi Ali Motie

机构信息

School of Biomedical Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran.

出版信息

J Med Eng Technol. 2013 May;37(4):273-81. doi: 10.3109/03091902.2013.794867. Epub 2013 May 24.

Abstract

Chaotic features of hypnotic EEG (electroencephalograph), recorded during standard tasks of Waterloo-Stanford Group Scale of hypnotic susceptibility (WSGS), were used to investigate the underlying dynamic of tasks and analyse the effect of hypnotic depth and concentration on EEG signals. Results demonstrate: (1) More efficiency of Higuchi dimension in comparison with Correlation dimension to distinguish subjects from different hypnotizable groups, (2) Channels with significantly different chaotic features among people from various hypnotizability levels in tasks, (3) High level of consistency among discriminating channels of tasks with function of brain's lobes, (4) Most affectability of medium hypnotizable subjects and (5) Rise in fractal dimensions due to increase in hypnosis depth.

摘要

在滑铁卢-斯坦福催眠易感性团体量表(WSGS)的标准任务期间记录的催眠脑电图(EEG)的混沌特征,被用于研究任务的潜在动态,并分析催眠深度和专注度对脑电信号的影响。结果表明:(1)与关联维数相比, Higuchi维数在区分不同催眠易感性组别的受试者方面更有效;(2)在任务中,不同催眠易感性水平的人之间具有显著不同混沌特征的通道;(3)具有脑叶功能的任务鉴别通道之间具有高度一致性;(4)中度催眠易感性受试者的影响最大;(5)随着催眠深度的增加,分形维数上升。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验