Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Mega-analysis of Structural Brain Imaging in Functional Neurological Disorder.

Biological psychiatry·2026
Same author

Flexible Data Integration for Genomics-Driven Decision Support in Rare Genetic Epilepsy.

Studies in health technology and informatics·2026
Same author

Response of the ILAE FDS task force to: A call for reflection on unintended consequences: Should 'Functional/Dissociative Seizures' replace 'Psychogenic Nonepileptic Seizures'?

Seizure·2026
Same author

Examining aggressive behavior in patients with epilepsy under treatment with Levetiracetam, Brivaracetam and Perampanel: a comparison to healthy controls.

Frontiers in behavioral neuroscience·2026
Same author

A multicenter, video-EEG-based validation of a multimodal wearable device for focal seizure detection in adults: The SeizeIT2 study.

Epilepsia open·2026
Same author

Headache comorbidity in epilepsy and functional/dissociative seizures: an exploratory cross-sectional study in a tertiary epilepsy center.

Frontiers in neurology·2026

相关实验视频

Updated: Sep 12, 2025

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
06:40

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

10.3K

功能性/离散性发作期间大脑网络动态的变化:对EEG微状态的探索性试点研究.

Domantė Kučikienė1, Johannes Jungilligens2,3, Stefan Wolking1

  • 1Department of Epileptology and Neurology, RWTH Aachen University, Aachen, Germany.

Epilepsy & behavior reports
|August 4, 2025
PubMed
概括

功能性/离散性发作 (FDS) 涉及较短的EEG微状态持续时间,特别是微状态D,表明前对对面网络活动受到干扰. 这支持了FDS期间兴奋中介网络中断的理论.

关键词:
电脑电脑电图微状态功能神经系统障碍是一种功能性神经系统障碍.功能性/离散性发作精神性非发作精神病发作

更多相关视频

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
08:23

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

Published on: November 13, 2016

11.3K
Author Spotlight: Unraveling Seizure Dynamics and Novel Therapeutics for Status Epilepticus Using CMOS High-Density Microelectrode Array Systems
06:28

Author Spotlight: Unraveling Seizure Dynamics and Novel Therapeutics for Status Epilepticus Using CMOS High-Density Microelectrode Array Systems

Published on: September 27, 2024

2.6K

相关实验视频

Last Updated: Sep 12, 2025

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
06:40

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

10.3K
A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
08:23

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

Published on: November 13, 2016

11.3K
Author Spotlight: Unraveling Seizure Dynamics and Novel Therapeutics for Status Epilepticus Using CMOS High-Density Microelectrode Array Systems
06:28

Author Spotlight: Unraveling Seizure Dynamics and Novel Therapeutics for Status Epilepticus Using CMOS High-Density Microelectrode Array Systems

Published on: September 27, 2024

2.6K

科学领域:

  • 神经科学是一个神经科学.
  • 临床神经学 临床神经学
  • 精神病学是一个精神病学.

背景情况:

  • 功能性/离散性发作 (FDS) 的潜在病理生理学,也被称为心理性非性发作,尚未完全理解.
  • 现有的理论提出,在FDS期间,大脑网络动态中引起的兴奋中介干扰会影响自我意识和行为控制.
  • 支持这些理论的直接电生理学证据有限.

研究的目的:

  • 探索功能/离散性 (FDS) 期间电脑电图 (EEG) 微态的视觉变化.
  • 调查EEG微态动态作为FDS中大脑网络活动中断的潜在指标.
  • 为FDS中兴奋介导网络破坏理论提供电生理学证据.

主要方法:

  • 一项试点研究涉及13名FDS患者.
  • 对EEG微态的分析,定义为准稳定的电活动模式 (持续50-70毫秒).
  • 基线和实时记录之间的微状态特征 (贡献,发生,全球场功率,持续时间) 的比较.

主要成果:

  • 四个微状态,类似于正规地图AD,显示高的全球解释差异 (76.2%).
  • 在基线和ictal状态之间的微状态贡献,发生或全球场功率方面没有发现显著差异.
  • 与基线相比,在FDS期间观察到微状态持续时间的显著减少 (p=0.007).
  • 微态D的持续时间在FDS期间显著下降 (科恩的d=0.75,p=0.044),可能反映了前面对面网络的变化.

结论:

  • 在FDS期间较短的EEG微状态持续时间表明大脑网络动态发生了变化.
  • 这些发现支持了将前对对联网络中兴奋介导的干扰与FDS中认知和行为控制的减少联系起来的理论.
  • 这项试点研究为FDS的病理生理学提供了初步的电生理学证据.