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

High-Level and Low-Level Awareness01:19

High-Level and Low-Level Awareness

612
Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
612

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

The discovery of novel 3-nitropyridin-2-amine-based 2,3-dihydroimidazo[1,2-a]pyridin-5(1H)-one insecticides.

Pest management science·2026
Same author

The Discovery of HNPC-A0073: A Novel Thiazol-5-ylmethyl-Based 3-Nitropyridin-2-amine Fungicide.

Journal of agricultural and food chemistry·2026
Same author

Lineage tracing of soma-to-primordial germ cell-like conversion in human tumor cell line.

iScience·2026
Same author

Antibacterial activity and multi-target mechanism of naringenin against Alicyclobacillus acidoterrestris and its application in apple juice.

International journal of food microbiology·2026
Same author

Fingertip-scale six-axis tactile interface with high-precision force sensing and position localization for dexterous human-machine interactions.

Microsystems & nanoengineering·2026
Same author

Refine Then Fusion: Robust 3D Brain MRI Synthesis via Vision-Language Collaboration.

IEEE transactions on medical imaging·2026

相关实验视频

Updated: Jan 8, 2026

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

10.5K

任务意识有效连接建模用于认知功能预测

Wantong Zou, Yu Li, Xiang Hu

    IEEE journal of biomedical and health informatics
    |December 15, 2025
    PubMed
    概括
    此摘要是机器生成的。

    本研究引入了一种任务意识有效连接 (TAEC) 模型,用于使用静止状态fMRI分析大脑网络. 该TAEC模型有效地捕捉到个性化的,特定任务的大脑连接,而无需为每个受试者重新训练.

    更多相关视频

    Modeling the Functional Network for Spatial Navigation in the Human Brain
    05:55

    Modeling the Functional Network for Spatial Navigation in the Human Brain

    Published on: October 13, 2023

    1.4K
    High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
    06:11

    High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity

    Published on: September 26, 2025

    750

    相关实验视频

    Last Updated: Jan 8, 2026

    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

    10.5K
    Modeling the Functional Network for Spatial Navigation in the Human Brain
    05:55

    Modeling the Functional Network for Spatial Navigation in the Human Brain

    Published on: October 13, 2023

    1.4K
    High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
    06:11

    High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity

    Published on: September 26, 2025

    750

    科学领域:

    • 神经科学是一个神经科学.
    • 计算神经科学是一种神经科学.
    • 脑部成像 脑部成像

    背景情况:

    • 休息状态功能磁共振成像 (rs fMRI) 对于理解大脑功能至关重要.
    • 当前有效的连接 (EC) 方法往往需要个人再培训,并忽视人口层面的数据.
    • 现有的EC方法通常独立于特定的认知任务,限制了它们捕捉任务依赖变化的能力.

    研究的目的:

    • 开发一种灵活的任务意识有效连接 (TAEC) 模型,用于构建个性化,任务意识和非线性因果大脑网络.
    • 为了实现端到端的预测和识别任务依赖的EC模式,而无需对特定学科进行再培训.
    • 提高EC分析的概括性和特定任务的敏感性.

    主要方法:

    • 使用时空注意力机制的因果发现模块 (CDM) 估计了个人的EC.
    • 任务意识图形神经网络 (GNN) 预测器用于端到端预测,并具有任务意识惩罚.
    • 该模型在来自人类结合体项目 (HCP) 数据集的十二个认知任务上得到了验证.

    主要成果:

    • 在任务意识有效的连接建模中,TAEC模型实现了最先进的性能.
    • 该框架成功地识别了歧视性和特定任务的EC模式.
    • 提出的方法在捕捉个性化和非线性因果大脑网络方面表现出有效性.

    结论:

    • TAEC模型提供了一种新且高效的方法来分析大脑连接.
    • 这个框架通过揭示特定任务的神经网络动态来增强我们对认知功能的理解.
    • 该TAEC模型提供了宝贵的洞察力大脑功能在各种认知任务.