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

Ketone Bodies Derived From Medium-Chain Triglycerides Support Brain Metabolism and Function Under Hypoglycemia in Type 1 Diabetes Mellitus.

Diabetes·2026
Same author

Contextualizing the Future <i>DSM</i>: Cross-Cultural, Developmental, and Multi-Informant Considerations.

The American journal of psychiatry·2026
Same author

Violence and threat exposure is associated with frontostriatal alterations during risky decision-making in children with co-morbid ADHD and disruptive behavior disorders.

Frontiers in psychiatry·2026
Same author

Resting-State Coactivation Patterns of Language Reorganization in Brain Tumors.

Neural plasticity·2026
Same author

Gene-Modulated Network Diffusion for Improved Modeling of Amyloid- <math><mi>β</mi></math> Spread in Alzheimer's Disease.

bioRxiv : the preprint server for biology·2026
Same author

Neuroimaging as the 'missing link' for preclinical to clinical translation: an example using N-acetylcysteine among individuals with cocaine- and opioid-use disorders receiving methadone treatment.

Psychopharmacology·2026

相关实验视频

Updated: Sep 18, 2025

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

10.3K

使用休息状态与基于任务的功能连接的fMRI研究的成本效益.

Xinzhi Zhang1, Leslie A Hulvershorn2, Todd Constable3

  • 1Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, USA.

Human brain mapping
|June 21, 2025
PubMed
概括

优化功能磁共振成像 (fMRI) 任务可以提高神经成像研究的效率. 不同的fMRI任务为各种神经心理结果揭示了不同的大脑功能指纹,指导了更好的研究设计.

更多相关视频

Resting-State Connectivity and Neuroimaging of Prefrontal Cortex Activity During a Block-Design Yoga Asana Practice Using fNIRS
07:56

Resting-State Connectivity and Neuroimaging of Prefrontal Cortex Activity During a Block-Design Yoga Asana Practice Using fNIRS

Published on: June 24, 2025

374
Acquisition of Resting-State Functional Magnetic Resonance Imaging Data in the Rat
12:41

Acquisition of Resting-State Functional Magnetic Resonance Imaging Data in the Rat

Published on: August 28, 2021

4.4K

相关实验视频

Last Updated: Sep 18, 2025

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

10.3K
Resting-State Connectivity and Neuroimaging of Prefrontal Cortex Activity During a Block-Design Yoga Asana Practice Using fNIRS
07:56

Resting-State Connectivity and Neuroimaging of Prefrontal Cortex Activity During a Block-Design Yoga Asana Practice Using fNIRS

Published on: June 24, 2025

374
Acquisition of Resting-State Functional Magnetic Resonance Imaging Data in the Rat
12:41

Acquisition of Resting-State Functional Magnetic Resonance Imaging Data in the Rat

Published on: August 28, 2021

4.4K

科学领域:

  • 神经成像是一种神经成像.
  • 网络科学 网络科学
  • 计算神经科学是一种神经科学.

背景情况:

  • 神经成像研究,特别是功能磁共振成像 (fMRI),对于理解大脑功能至关重要,但可能昂贵.
  • 将fMRI任务定制为特定的研究问题可能会提高效率和数据质量.
  • 分析大脑连接和预测结果的现有方法可能缺乏准确性和稳定性.

研究的目的:

  • 通过优化fMRI任务选择,研究改善神经成像研究成本效益的方法.
  • 开发和应用一种新的网络科学驱动的贝叶斯连接基预测方法.
  • 识别与各种神经心理结果相关的特定任务的功能性大脑模式.

主要方法:

  • 开发了一种基于贝叶斯连接组的新型网络科学驱动的预测方法,整合了网络理论.
  • 该方法用于分析跨诊断队列中的七种不同fMRI任务条件的数据.
  • 进行了比较分析,以检测fMRI任务中的预测能力差异.

主要成果:

  • 开发的方法在成像生物标志物检测方面表现出更高的精度和稳定性.
  • 在各种fMRI任务中,共享和独特的功能性大脑连接模式 (指纹) 已被确定为神经心理结果.
  • 具体的任务条件发现包括情感N-back任务对于负面情绪结果是不理想的,而逐渐开始的连续性能任务与认知控制相比,与敏感性和社交性有更强的联系.

结论:

  • 基于任务的fMRI研究可以通过仔细选择符合特定神经心理结果的任务条件来显著优化.
  • 这些发现突出了fMRI任务和结果之间独特的,最佳的配对,这对于设计强大且成本效益高的神经成像研究至关重要.
  • 这种方法为临床神经科学中更精确,更强大的生物标志物检测提供了基础.