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

Virgin Coconut Oil Attenuates Diabetic Kidney Disease via Gut Microbiota-Metabolism-Inflammation Axis Modulation in Type 2 Diabetic Mice.

Food science & nutrition·2026
Same author

GWAS-by-subtraction reveals new genetic architecture and health implications of type 2 diabetes-independent gestational diabetes mellitus.

Genome medicine·2026
Same author

Multi-Target Mechanisms of Whey Protein Against NAFLD: Integrating Bile Acid Metabolism, Gut Microbiota and Hepatic Inflammation.

Food science & nutrition·2026
Same author

Lightweight Insulating Sandwich-Structured Composite Film for Superior Antireflective EMI Shielding and Infrared Camouflage.

ACS applied materials & interfaces·2026
Same author

Network Pharmacology Combined With Gut Microbiome and Serum Metabolomics Reveals the Therapeutic Mechanisms of Hydroxysafflor Yellow A in Diabetic Kidney Disease.

Journal of diabetes research·2026
Same author

Ursodeoxycholic acid alleviates high-fat diet-induced liver injury by modulating gut microbiota-mediated bile acid metabolism: an integrated microbiota-metabolomics analysis.

Frontiers in nutrition·2026

相关实验视频

Updated: Jun 4, 2025

Multiscale Investigations of Cortical Processing by Integrating Laminar Polytrodes and Optogenetics with Micro Electrocorticography in Rodents
07:52

Multiscale Investigations of Cortical Processing by Integrating Laminar Polytrodes and Optogenetics with Micro Electrocorticography in Rodents

Published on: May 23, 2025

59

为EEG轻度认知障碍检测优化电极配置.

Yi Jiang1,2,3, Xin Zhang4, Zhiwei Guo1,2,3

  • 1The National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.

Scientific reports
|January 3, 2025
PubMed
概括

优化脑电图 (EEG) 电极放置对于轻度认知障碍 (MCI) 检测至关重要. 一个由四个电极组成的叶配置在非临床环境中显示出对MCI初步查的高灵敏度.

关键词:
电脑电图 (电脑电图) 是一种脑电图.轻度认知障碍 轻度认知障碍可穿戴的脑电图装置.工作记忆 工作记忆

更多相关视频

Equipment Setup and Artifact Removal for Simultaneous Electroencephalogram and Functional Magnetic Resonance Imaging for Clinical Review in Epilepsy
10:23

Equipment Setup and Artifact Removal for Simultaneous Electroencephalogram and Functional Magnetic Resonance Imaging for Clinical Review in Epilepsy

Published on: June 23, 2023

1.8K
High-density Electroencephalographic Acquisition in a Rodent Model Using Low-cost and Open-source Resources
12:39

High-density Electroencephalographic Acquisition in a Rodent Model Using Low-cost and Open-source Resources

Published on: November 26, 2016

15.8K

相关实验视频

Last Updated: Jun 4, 2025

Multiscale Investigations of Cortical Processing by Integrating Laminar Polytrodes and Optogenetics with Micro Electrocorticography in Rodents
07:52

Multiscale Investigations of Cortical Processing by Integrating Laminar Polytrodes and Optogenetics with Micro Electrocorticography in Rodents

Published on: May 23, 2025

59
Equipment Setup and Artifact Removal for Simultaneous Electroencephalogram and Functional Magnetic Resonance Imaging for Clinical Review in Epilepsy
10:23

Equipment Setup and Artifact Removal for Simultaneous Electroencephalogram and Functional Magnetic Resonance Imaging for Clinical Review in Epilepsy

Published on: June 23, 2023

1.8K
High-density Electroencephalographic Acquisition in a Rodent Model Using Low-cost and Open-source Resources
12:39

High-density Electroencephalographic Acquisition in a Rodent Model Using Low-cost and Open-source Resources

Published on: November 26, 2016

15.8K

科学领域:

  • 神经科学是一个神经科学.
  • 医疗技术 医疗技术 医学技术
  • 生物标志物 生物标志物

背景情况:

  • 轻度认知障碍 (MCI) 的检测和监测需要优化脑电图 (EEG) 系统,特别是在非临床环境中.
  • 对于MCI检测而言,EEG电极的最佳数量和位置仍未得到充分探索.

研究的目的:

  • 探索和优化用于检测轻度认知障碍 (MCI) 的电极配置.
  • 为了评估MCI查不同EEG电极设置的诊断功率.

主要方法:

  • 在工作记忆 (WM) 任务中记录了21名MCI患者和20名认知正常 (NC) 的老年人的32通道EEG数据.
  • 分析了两组之间的theta和alpha波段的功率光谱密度 (PSD) 差异,以得出六个电极配置.
  • 利用二进制后勤回归模型和接收器操作特征 (ROC) 曲线来评估诊断性能.

主要成果:

  • 四个电极的叶配置 (OCL4) 实现了最高的灵敏度 (96.2%) 和0.765.5的曲线下的面积 (AUC).
  • 其他配置 (PRL3,PLL4,OPL8,OPL7,PPL7) 显示出不同的诊断能力,其中OPL8具有最高的AUC (0.83).
  • 在MCI患者的记忆编码过程中,在额叶,额叶和叶中发现了异常的大脑节奏.

结论:

  • 在叶的一个特定的四电极配置显示了作为初步MCI查的客观工具的潜力.
  • 研究结果表明,在记忆编码过程中MCI患者的异常大脑节律特征可以作为新的生物标志物.
  • 这种优化的配置可能使得在非临床环境中用于MCI检测和监测的新型简化EEG系统成为可能.