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

Lateralization01:28

Lateralization

Brain lateralization refers to the division of mental processes and functions between the two hemispheres of the brain, a phenomenon that optimizes neural efficiency and underpins complex abilities in humans. This specialization allows each hemisphere to perform tasks where it has a comparative advantage, facilitating more refined cognitive capabilities across different domains.

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

Artificial intelligence assisted detection of large vessel occlusion on CT angiography in acute stroke patients: a multi-reader multi-case study.

BJR artificial intelligence·2026
Same author

Gaming the peer review system: Evidence for a review mill in medicine highlights the need to ensure reviewer integrity.

Accountability in research·2026
Same author

A Delphi survey on attitudes to serious research misconduct: Exploring convergence vs. polarization of views of research "sleuths" and research integrity experts.

Accountability in research·2026
Same author

Subcortical correlates of developmental language disorder: more than the neostriatum.

Brain communications·2026
Same author

The Effects of Theta-Gamma Peak Stimulation on Sensorimotor Learning During Speech Production.

Neurobiology of language (Cambridge, Mass.)·2025
Same author

An fMRI study of initiation and inhibition of manual and spoken responses in people who stutter.

Imaging neuroscience (Cambridge, Mass.)·2025

相关实验视频

Updated: May 12, 2026

Assessment of Cerebral Lateralization in Children using Functional Transcranial Doppler Ultrasound fTCD
07:44

Assessment of Cerebral Lateralization in Children using Functional Transcranial Doppler Ultrasound fTCD

Published on: September 27, 2010

20.2K

测量语言侧向化的方法:一项探索性研究,比较两种fMRI方法和功能性跨骨多普勒超声波.

Dorothy V M Bishop1,2, Zoe V J Woodhead1,2, Kate E Watkins1,2

  • 1Wellcome Centre for Integrative Neuroimaging, Oxford, United Kingdom.

Neurobiology of language (Cambridge, Mass.)
|June 24, 2024
PubMed
概括
此摘要是机器生成的。

来自功能性MRI数据的横向性指数计算的新镜像方法与功能性跨皮多普勒超声波比传统的工具箱方法更好地一致,特别是在异常大脑横向化的个体中.

关键词:
不对称的不对称性双边语言 双边语言关闭关闭关闭关闭关闭功能性跨头多普勒超声波横向性的横向性感兴趣的地区.

更多相关视频

Functional Transcranial Doppler Ultrasound for Monitoring Cerebral Blood Flow
09:41

Functional Transcranial Doppler Ultrasound for Monitoring Cerebral Blood Flow

Published on: March 15, 2021

7.8K
Study Design for Navigated Repetitive Transcranial Magnetic Stimulation for Speech Cortical Mapping
09:16

Study Design for Navigated Repetitive Transcranial Magnetic Stimulation for Speech Cortical Mapping

Published on: March 24, 2023

1.4K

相关实验视频

Last Updated: May 12, 2026

Assessment of Cerebral Lateralization in Children using Functional Transcranial Doppler Ultrasound fTCD
07:44

Assessment of Cerebral Lateralization in Children using Functional Transcranial Doppler Ultrasound fTCD

Published on: September 27, 2010

20.2K
Functional Transcranial Doppler Ultrasound for Monitoring Cerebral Blood Flow
09:41

Functional Transcranial Doppler Ultrasound for Monitoring Cerebral Blood Flow

Published on: March 15, 2021

7.8K
Study Design for Navigated Repetitive Transcranial Magnetic Stimulation for Speech Cortical Mapping
09:16

Study Design for Navigated Repetitive Transcranial Magnetic Stimulation for Speech Cortical Mapping

Published on: March 24, 2023

1.4K

科学领域:

  • 神经成像是一种神经成像.
  • 认知神经科学 认知神经科学
  • 大脑侧向化是什么?

背景情况:

  • 功能磁共振成像 (fMRI) 是研究大脑侧面化的关键工具.
  • 从fMRI数据计算横向性指数 (LI) 的现有方法可能不能准确地反映个人的大脑组织.

研究的目的:

  • 将一种新的"镜像"方法与传统的"工具箱"方法进行比较,用于从fMRI数据中导出LI.
  • 评估这些fMRI方法与非典型横向化个体的功能性跨皮多普勒超声波 (fTCD) 的一致性.

主要方法:

  • 使用两种LI计算方法分析fMRI数据:LI工具箱 (加权启动平均值) 和一种新的镜像方法 (减去同源区域激活).
  • 使用了31名参与者的数据,包括那些经过fTCD确认的异型横向化患者.
  • 对于词生成和语义匹配任务,评估了与fTCD横向性的协议.

主要成果:

  • 与工具箱方法相比,镜子方法与fTCD横向性有更好的一致性.
  • 来自镜子方法的LI估计产生了较小的置信区间,表明更可靠的横向化.
  • 工具箱方法导致参与者被分类为双边的比例更高.

结论:

  • 新的镜子方法提供了一个更准确和可靠的方法来评估使用fMRI数据的大脑侧向化.
  • 工具箱方法跨值的平均值和负激活值的潜在信息丢失可能导致差异.