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

Brain Imaging01:14

Brain Imaging

225
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
225

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

Stroke or Seizure? Diagnostic Role of Neuroimaging in Acute Neurologic Mimics.

NeuroSci·2026
Same author

Beyond seizures: A multidimensional approach to non-seizure issues in Lennox-Gastaut syndrome. Insights from Italian experts.

Epilepsia open·2026
Same author

An EEG-Based Edge-AI Framework for Alzheimer's and Creutzfeldt-Jakob Disease Classification.

Sensors (Basel, Switzerland)·2026
Same author

Seizure and Status Epilepticus in Human Organophosphate Poisoning: A Narrative Review.

Neurology international·2026
Same author

Epilepsia partialis continua as the presenting manifestation of Creutzfeldt-Jakob disease: A video-polygraphic clinical vignette.

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

Clinical features of adolescent-onset functional motor disorders in tertiary movement disorders centers.

Journal of neurology·2026

相关实验视频

Updated: Jun 21, 2025

Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains
12:28

Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains

Published on: June 3, 2020

17.3K

现代神经生理学技术对正常或异常的大脑衰老进行索引.

Angelo Pascarella1, Lucia Manzo2, Edoardo Ferlazzo1

  • 1Department of Medical and Surgical Sciences, Magna Græcia University of Catanzaro, Italy; Regional Epilepsy Centre, Great Metropolitan "Bianchi-Melacrino-Morelli Hospital", Reggio Calabria, Italy.

Seizure
|July 7, 2024
PubMed
概括

大脑衰老会影响认知和功能,但新的神经生理学工具,如脑电图 (EEG) 和跨磁刺激 (TMS) 提供了洞察力. 人工智能 (AI) 有助于诊断与年龄相关的认知衰退.

关键词:
认知能力下降 认知能力下降痴呆症是一种痴呆症.电脑脑电图 (EEG) 是一种电脑电图.与事件相关的潜力与事件相关的潜力机器学习是机器学习.通过骨磁刺激来进行磁性刺激.

更多相关视频

3D Modeling of the Lateral Ventricles and Histological Characterization of Periventricular Tissue in Humans and Mouse
15:26

3D Modeling of the Lateral Ventricles and Histological Characterization of Periventricular Tissue in Humans and Mouse

Published on: May 19, 2015

14.1K
A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.2K

相关实验视频

Last Updated: Jun 21, 2025

Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains
12:28

Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains

Published on: June 3, 2020

17.3K
3D Modeling of the Lateral Ventricles and Histological Characterization of Periventricular Tissue in Humans and Mouse
15:26

3D Modeling of the Lateral Ventricles and Histological Characterization of Periventricular Tissue in Humans and Mouse

Published on: May 19, 2015

14.1K
A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.2K

科学领域:

  • 神经科学是一个神经科学.
  • 老年学是一门学科.
  • 生物医学工程 生物医学工程

背景情况:

  • 大脑衰老导致认知,运动和感官衰退,其中涉及诸如神经发生变化和突触可塑性等机制.
  • 了解生理和病理大脑衰老对于开发有效干预措施至关重要.

研究的目的:

  • 审查研究大脑衰老的电生理学技术的最新进展.
  • 突出EEG,ERP,TMS和AI在诊断和预测与年龄相关的认知衰退中的应用.

主要方法:

  • 对脑电图 (EEG),事件相关潜能 (ERP) 和跨磁刺激 (TMS) 方法的审查.
  • 整合人工智能 (AI) 和机器学习方法用于数据分析.
  • 分析神经生理学标记在生理和病理大脑衰老.

主要成果:

  • 生理衰老显示了改变的EEG光谱功率,连接性,ERP和TMS参数.
  • 病态衰老 (例如,阿尔茨海默病) 在这些神经生理学指标中表现出更明显的干扰.
  • 人工智能和机器学习在分类认知障碍和预测疾病进展方面显示出潜力.

结论:

  • 电生理学技术为大脑衰老期间的神经活动和网络功能提供了宝贵的见解.
  • 人工智能集成提高了与年龄相关的认知障碍的诊断准确度和预后能力.
  • 标准化和多式联通是推动大脑衰老研究的关键.