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

Naturalistic Observations02:30

Naturalistic Observations

15.9K
If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
15.9K

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

Distinct neural processes link speech planning and execution.

bioRxiv : the preprint server for biology·2026
Same author

Seizure outcomes after laser interstitial thermal therapy for pediatric extratemporal lobe epilepsy.

Journal of neurosurgery. Pediatrics·2026
Same author

Decompression with or without Duraplasty for Chiari I and Syringomyelia.

The New England journal of medicine·2026
Same author

Regional brain atrophy mediates age effects on words recognition in noise in adults.

NeuroImage·2026
Same author

Stereo-EEG mapping of visual working memory with task-related high-gamma modulations.

Epilepsia·2026
Same author

Empiric Antibiotic Prescription Patterns in Children With Cerebrospinal Fluid Shunt Infection.

The Pediatric infectious disease journal·2026

相关实验视频

Updated: Sep 11, 2025

Measuring Neural and Behavioral Activity During Ongoing Computerized Social Interactions: An Examination of Event-Related Brain Potentials
09:40

Measuring Neural and Behavioral Activity During Ongoing Computerized Social Interactions: An Examination of Event-Related Brain Potentials

Published on: November 15, 2014

13.9K

行为-EEG-光谱-功率-相关性:定义自然主义行为的神经基质.

Brian Ervin1, Clayton Frink1, Jason Buroker1

  • 1Comprehensive Epilepsy Center, Division of Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.

Annals of neurology
|August 16, 2025
PubMed
概括

自然主义的对话,使用新的行为-iEEG-光谱-功率相关性 (BESPoC) 方法,有效地绘制大脑语言区域. 这种方法验证了语言本地化,并预测了患者的结果,超过了传统任务.

更多相关视频

Performing Behavioral Tasks in Subjects with Intracranial Electrodes
12:10

Performing Behavioral Tasks in Subjects with Intracranial Electrodes

Published on: October 2, 2014

11.5K
Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
11:15

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

Published on: June 27, 2013

33.9K

相关实验视频

Last Updated: Sep 11, 2025

Measuring Neural and Behavioral Activity During Ongoing Computerized Social Interactions: An Examination of Event-Related Brain Potentials
09:40

Measuring Neural and Behavioral Activity During Ongoing Computerized Social Interactions: An Examination of Event-Related Brain Potentials

Published on: November 15, 2014

13.9K
Performing Behavioral Tasks in Subjects with Intracranial Electrodes
12:10

Performing Behavioral Tasks in Subjects with Intracranial Electrodes

Published on: October 2, 2014

11.5K
Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
11:15

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

Published on: June 27, 2013

33.9K

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.
  • 计算神经科学是一种神经科学.

背景情况:

  • 内语言映射传统上使用人工任务 (电刺激映射 - ESM,高马调制 - HGM),需要患者的合作.
  • 这些任务可能不能完全代表大脑中的自然语言处理.

研究的目的:

  • 通过一种新的行为-iEEG-光谱-功率相关性 (BESPoC) 方法来验证内内语言本地化中的自然对话.
  • 为了比较BESPoC与传统方法 (ESM,HGM) 和任务的有效性.

主要方法:

  • 开发并将行为-EEG-光谱-功率相关性 (BESPoC) 方法应用于134名患者 (2-29岁) 的立体脑电图 (iEEG) 数据.
  • 在自然对话期间比较BESPoC语言映射与既定任务 (图片命名,故事倾听) 并与ESM和HGM进行验证.
  • 利用混合效应建模来分析大数据集并比较方法.

主要成果:

  • BESPoC在本地化语言网站方面表现出高度的灵敏度和特异性,与HGM和ESM相当.
  • 当使用BESPoC分析自然主义对话时,它在定位语言区域和预测神经心理结果方面显示出与传统任务相比或更高的性能.
  • BESPoC对自然主义对话的分析比传统任务更好地模拟神经心理缺陷.

结论:

  • 用BESPoC方法分析的自然主义对话为创建皮层语言地图提供了有效的方法.
  • 这种方法可以准确地评估表达性和感受性语言功能,并预测后手术的结果.
  • BESPoC为患者的语言映射提供了一种更具生态价值和潜在更具信息性的方法.