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

Signal and System01:26

Signal and System

A signal x(t) is a set of data or a time function representing a variable of interest. Signals typically convey information about a phenomenon, such as atmospheric temperature, humidity, human voice, television images, a dog's bark, or birdsongs. More generally, a signal can be a function of more than one independent variable. For instance, images depend on horizontal and vertical positions and can be regarded as two-dimensional signals. However, this text will focus on one-dimensional signals...
State Space Representation01:27

State Space Representation

The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
Signal Flow Graphs01:18

Signal Flow Graphs

Signal-flow graphs offer a streamlined and intuitive approach to representing control systems, providing an alternative to traditional block diagrams. These graphs use branches to symbolize systems and nodes to represent signals, effectively illustrating the relationships and interactions within the system.
In a signal-flow graph, branches denote the system's transfer functions, while nodes represent the signals. The direction of signal flow is indicated by arrows, with the corresponding...
SFG Algebra01:16

SFG Algebra

In Signal Flow Graph (SFG) algebra, the value a node represents is determined by the sum of all signals entering that node. This summed value is then transmitted through every branch leaving the node, making the SFG a powerful tool for visualizing and analyzing control systems.
Each node in an SFG corresponds to a variable, and the interactions between nodes are represented by branches with associated gains. When multiple branches lead into a node, the value at that node is the sum of the...
Bewley Lattice Diagram01:12

Bewley Lattice Diagram

The Bewley lattice diagram, developed by L. V. Bewley, effectively organizes the reflections occurring during transmission-line transients. It visually represents how voltage waves propagate and reflect within a transmission line, making it easier to understand the complex interactions that occur.
Transformations of Functions III01:20

Transformations of Functions III

Transformations modify the graphical representation of a function without changing its fundamental form. One common transformation is reflection, which flips the graph across a designated axis. When the vertical coordinates of all points are multiplied by the negative one, the entire graph is mirrored over the horizontal axis. This transformation reverses the vertical orientation of peaks and troughs, akin to signal inversion in electrical systems, where a waveform is flipped, but the timing of...

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

Aggression in epilepsy and sleep: from historical accounts to brain networks and human behaviour.

Brain : a journal of neurology·2026
Same author

Pediatric epilepsy surgery: Global survey of invasive explorations.

Epilepsia·2026
Same author

How Thalamo-Cortical Loops Modulate Cortico-Cortical Evoked Potentials?

Brain topography·2026
Same author

ILAE-YES global webinar series: Integrating clinical and basic science in epilepsy research.

Epilepsia open·2026
Same author

Functional Segregation of Epileptogenicity within the Human Amygdala.

Annals of neurology·2026
Same author

Delayed brain and spine migration of a retained SEEG electrode fragment: An unexpected complication.

Epileptic disorders : international epilepsy journal with videotape·2026
Same journal

Reply to "Clinical Value of Aneurysm Wall Enhancement in Unruptured Intracranial Aneurysm".

Annals of neurology·2026
Same journal

Clinical Value of Aneurysm Wall Enhancement in Unruptured Intracranial Aneurysm.

Annals of neurology·2026
Same journal

Imaging of Neurovascular Compression in Thoracic Outlet Syndrome.

Annals of neurology·2026
Same journal

Reply to "Methodological Challenges in Interpreting SAA-Defined Imaging Subgroups in Parkinson's Disease".

Annals of neurology·2026
Same journal

Methodological Challenges in Interpreting SAA-Defined Imaging Subgroups in Parkinson's Disease.

Annals of neurology·2026
Same journal

The Financial Value of an Academic Neurologist.

Annals of neurology·2026
查看所有相关文章

相关实验视频

Updated: Jun 19, 2026

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
09:32

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Published on: December 18, 2016

12.5K

通过信号复杂性绘制后带的映射:一种立体电脑学研究.

Ionuț-Flavius Bratu1,2, Christian G Bénar2, Samuel Medina Villalon1,2

  • 1Department of Epileptology and Cerebral Rhythmology, Timone Hospital, Marseille, France.

Annals of neurology
|July 12, 2025
PubMed
概括
此摘要是机器生成的。

这项研究揭示了发作后大脑信号复杂性的变化,确定了与语言缺陷和恢复相关的特定区域. 一个新的尺度 (PAS) 有助于评估直后失语症的严重程度,并有助于手术规划.

更多相关视频

A Bedside, Single Burr Hole Approach to Multimodality Monitoring in Severe Brain Injury
06:18

A Bedside, Single Burr Hole Approach to Multimodality Monitoring in Severe Brain Injury

Published on: March 26, 2019

9.1K
Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
06:37

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke

Published on: July 14, 2023

977

相关实验视频

Last Updated: Jun 19, 2026

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
09:32

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Published on: December 18, 2016

12.5K
A Bedside, Single Burr Hole Approach to Multimodality Monitoring in Severe Brain Injury
06:18

A Bedside, Single Burr Hole Approach to Multimodality Monitoring in Severe Brain Injury

Published on: March 26, 2019

9.1K
Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
06:37

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke

Published on: July 14, 2023

977

科学领域:

  • 神经科学是一个神经科学.
  • 发病学 (Epileptology) 是一个专业的学科.
  • 语言学的语言学.

背景情况:

  • 发作后的 postictal 期提供了对大脑功能和恢复的见解.
  • 失言症或语言障碍是一种常见的后结节缺陷,需要进一步调查.
  • 立体电脑图 (SEEG) 允许在期间详细监测大脑活动.

研究的目的:

  • 在SEEG探索的患者中,使用信号复杂性分析来研究 postictal aphasia 的病理生理学.
  • 确定与特定任务语言缺陷相关的特定大脑区域及其恢复.
  • 开发和验证一个工具,以评估后节性失语症的严重程度和特定领域的缺陷.

主要方法:

  • 对已确认语言占主导地位的患者中焦点发作的视频SEEG数据的分析.
  • 使用变 (PE) 和变时间 (PAT) 度量来量化后点脑活动.
  • 区域PAT与语言功能恢复和评估在背腔腹腔语言流框架内的相关性.
  • 开发后口腔失语量表 (PAS) 用于对失语严重程度和特定缺陷的床边评估.

主要成果:

  • 与没有的患者相比, postictal aphasia 的发作表现出较长的 PAT.
  • 任务特定的语言恢复,如命名,与区域PAT相关,特别是在中圈.
  • 背部的语言流表现出比腹部流更快的恢复.
  • PAS有效地评估了命名,阅读,重复,理解和自动语音方面的缺陷,较高的分数表明较轻微的缺陷和更快的复杂性恢复.
  • 早期的术后评估 (5-10分钟) 揭示了全球性失语症,在15分钟后演变为主要与生产相关的缺陷 (特别是命名).

结论:

  • 这项研究通过信号复杂性分析阐明了 postictal aphasia 的病理生理学.
  • 介绍了后尾性失语量表 (PAS) 作为评估后尾性失语严重程度和特定领域缺陷的有价值工具.
  • 这些发现可以帮助进行手术规划,并指导相关语言障碍患者的康复策略.