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

Interfacial Carrier Engineering of NiO/MS<sub>2</sub> Nanosheets for Electro-Oxidation of 5-Hydroxymethylfurfural with an Ampere-Level Current Density.

Journal of the American Chemical Society·2026
Same author

Discovering Interpretable Semantics from Radio Signals for Contactless Cardiac Monitoring.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Triple Matrix Confinement-Induced Ultrabright Afterglow From Carbon Dots With Multivariate Responsive Afterglow Colors for Advanced Dynamic Information Encryption.

Angewandte Chemie (International ed. in English)·2026
Same author

Decoupled Hierarchical Distillation for Multimodal Emotion Recognition.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

EEG-to-gait decoding via phase-aware representation learning.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

Decoding Covert Speech From EEG by Functional Areas Spatio-Temporal Transformer.

IEEE journal of biomedical and health informatics·2026

相关实验视频

Updated: Jun 10, 2025

Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography
09:25

Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography

Published on: July 26, 2019

6.8K

STARTS:一个自适应的时空框架,用于自动E/MEG源成像.

Zhao Feng, Cuntai Guan, Ruifeng Zheng

    IEEE transactions on medical imaging
    |October 18, 2024
    PubMed
    概括
    此摘要是机器生成的。

    我们开发了STARTS,这是一种用于电磁脑学 (E/MEG) 源成像的自动框架. STARTS使用时空约束来准确地确定大脑活动,优于现有的方法.

    更多相关视频

    Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging
    11:28

    Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

    Published on: June 30, 2018

    11.6K
    Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization
    09:57

    Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization

    Published on: September 20, 2024

    2.5K

    相关实验视频

    Last Updated: Jun 10, 2025

    Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography
    09:25

    Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography

    Published on: July 26, 2019

    6.8K
    Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging
    11:28

    Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

    Published on: June 30, 2018

    11.6K
    Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization
    09:57

    Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization

    Published on: September 20, 2024

    2.5K

    科学领域:

    • 神经科学是一个神经科学.
    • 生物物理学的生物物理.
    • 信号处理 信号处理

    背景情况:

    • 电磁脑电图 (E/MEG) 源成像对于理解大脑活动至关重要.
    • 由于E / MEG数据的不良性质,准确地定位源是具有挑战性的.
    • 现有的方法通常需要复杂的手动调整,并且可能会与噪音作斗争.

    研究的目的:

    • 推出STARTS,一种用于E/MEG源成像的新型,自动的时空受限框架.
    • 为了提高脑源重建的准确性和神经生理学可信性.
    • 为当前的E/MEG源成像技术提供一种高效和有效的替代方案.

    主要方法:

    • 开发了STARTS,结合了空间均性和时间基础函数 (TBFs) 的块对角共变性来减少噪音.
    • 以数据驱动的方式估计和更新TBF,以改进源本地化.
    • 使用模拟和真实和静止状态EEG数据验证的STARTS.

    主要成果:

    • 与基准算法 (LORETA,EBI-Convex,BESTIES,SI-STBF) 相比,STARTS在模拟中表现出更高的性能.
    • 在和静止状态EEG数据上获得了神经生理学上可信的结果.
    • 一个计算效率高的版本,顺的STARTS,实现了可比性能的执行时间缩短.

    结论:

    • STARTS通过先进的时空约束和自适应更新,为E/MEG源成像提供了有效和高效的方法.
    • 该框架自动化了源重建,提高了准确性并减少了噪声的影响.
    • STARTS为使用E/MEG数据推进神经科学研究提供了有价值的工具.