• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

同步 EEG-fMRI:我们已经学到了什么,未来又将如何?

Simultaneous EEG-fMRI: What Have We Learned and What Does the Future Hold?

机构信息

Brain Products GmbH, Zeppelinstrasse 7, 82205 Gilching, Germany.

出版信息

Sensors (Basel). 2022 Mar 15;22(6):2262. doi: 10.3390/s22062262.

DOI:10.3390/s22062262
PMID:35336434
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8952790/
Abstract

Simultaneous EEG-fMRI has developed into a mature measurement technique in the past 25 years. During this time considerable technical and analytical advances have been made, enabling valuable scientific contributions to a range of research fields. This review will begin with an introduction to the measurement principles involved in EEG and fMRI and the advantages of combining these methods. The challenges faced when combining the two techniques will then be considered. An overview of the leading application fields where EEG-fMRI has made a significant contribution to the scientific literature and emerging applications in EEG-fMRI research trends is then presented.

摘要

在过去的 25 年中,EEG-fMRI 已经发展成为一种成熟的测量技术。在此期间,取得了相当大的技术和分析进展,使一系列研究领域能够做出有价值的科学贡献。本综述将首先介绍 EEG 和 fMRI 测量原理以及组合这些方法的优势。然后将考虑组合这两种技术时面临的挑战。接着概述 EEG-fMRI 在科学文献中做出重大贡献的主要应用领域以及 EEG-fMRI 研究趋势中的新兴应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba6c/8952790/70c9af10c2b0/sensors-22-02262-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba6c/8952790/2e1b1b21d389/sensors-22-02262-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba6c/8952790/b68e79380e06/sensors-22-02262-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba6c/8952790/9e0ac5534b98/sensors-22-02262-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba6c/8952790/28aaecf8043a/sensors-22-02262-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba6c/8952790/2d03c96755d2/sensors-22-02262-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba6c/8952790/879305d91298/sensors-22-02262-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba6c/8952790/998c54eca673/sensors-22-02262-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba6c/8952790/9afe350b0a33/sensors-22-02262-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba6c/8952790/ba1bd5a7ad9c/sensors-22-02262-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba6c/8952790/5310b370b1c7/sensors-22-02262-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba6c/8952790/70c9af10c2b0/sensors-22-02262-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba6c/8952790/2e1b1b21d389/sensors-22-02262-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba6c/8952790/b68e79380e06/sensors-22-02262-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba6c/8952790/9e0ac5534b98/sensors-22-02262-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba6c/8952790/28aaecf8043a/sensors-22-02262-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba6c/8952790/2d03c96755d2/sensors-22-02262-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba6c/8952790/879305d91298/sensors-22-02262-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba6c/8952790/998c54eca673/sensors-22-02262-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba6c/8952790/9afe350b0a33/sensors-22-02262-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba6c/8952790/ba1bd5a7ad9c/sensors-22-02262-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba6c/8952790/5310b370b1c7/sensors-22-02262-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba6c/8952790/70c9af10c2b0/sensors-22-02262-g011.jpg

相似文献

1
Simultaneous EEG-fMRI: What Have We Learned and What Does the Future Hold?同步 EEG-fMRI:我们已经学到了什么,未来又将如何?
Sensors (Basel). 2022 Mar 15;22(6):2262. doi: 10.3390/s22062262.
2
Combining EEG and fMRI.结合脑电图(EEG)和功能磁共振成像(fMRI)。
Methods Mol Biol. 2011;711:303-26. doi: 10.1007/978-1-61737-992-5_15.
3
Two is better? combining EEG and fMRI for BCI and neurofeedback: a systematic review.脑电图与功能磁共振成像相结合用于脑机接口和神经反馈的研究:系统综述。
J Neural Eng. 2023 Nov 3;20(5). doi: 10.1088/1741-2552/ad06e1.
4
Present and future of simultaneous EEG-fMRI.脑电与功能磁共振成像的现状与未来。
MAGMA. 2010 Dec;23(5-6):309-16. doi: 10.1007/s10334-009-0196-9. Epub 2010 Jan 26.
5
Simultaneous EEG-fMRI in human epilepsy.人类癫痫中的同步脑电图-功能磁共振成像
Can J Neurol Sci. 2008 Sep;35(4):420-35. doi: 10.1017/s0317167100009070.
6
Simultaneous EEG-fMRI acquisition at low, high and ultra-high magnetic fields up to 9.4 T: perspectives and challenges.在低、高和超高磁场(高达 9.4T)下同时进行 EEG-fMRI 采集:前景与挑战。
Neuroimage. 2014 Nov 15;102 Pt 1:71-9. doi: 10.1016/j.neuroimage.2013.06.048. Epub 2013 Jun 22.
7
[Simultaneous EEG-fMRI measurements: insights in applications and challenges].[同步脑电图-功能磁共振成像测量:应用见解与挑战]
Nervenarzt. 2014 Jun;85(6):671-9. doi: 10.1007/s00115-014-4012-z.
8
SSVEP signatures of binocular rivalry during simultaneous EEG and fMRI.同步脑电图和功能磁共振成像期间双眼竞争的稳态视觉诱发电位特征
J Neurosci Methods. 2015 Mar 30;243:53-62. doi: 10.1016/j.jneumeth.2015.01.024. Epub 2015 Jan 30.
9
Simultaneous EEG-fMRI at ultra-high field: artifact prevention and safety assessment.超高场下的同时 EEG-fMRI:伪影预防与安全性评估。
Neuroimage. 2015 Jan 15;105:132-44. doi: 10.1016/j.neuroimage.2014.10.055. Epub 2014 Oct 29.
10
Multimodal functional neuroimaging: integrating functional MRI and EEG/MEG.多模态功能神经影像学:功能磁共振成像与 EEG/MEG 的整合。
IEEE Rev Biomed Eng. 2008;1(2008):23-40. doi: 10.1109/RBME.2008.2008233. Epub 2008 Nov 5.

引用本文的文献

1
Use of functional magnetic resonance imaging in the evaluation of neural plasticity in macular degeneration.功能磁共振成像在黄斑变性神经可塑性评估中的应用
Front Neurosci. 2025 Aug 28;19:1622244. doi: 10.3389/fnins.2025.1622244. eCollection 2025.
2
WISDEM: a hybrid wireless integrated sensing detector for simultaneous EEG and MRI.WISDEM:一种用于同时进行脑电图(EEG)和磁共振成像(MRI)的混合无线集成传感探测器。
Nat Methods. 2025 Sep 8. doi: 10.1038/s41592-025-02798-w.
3
Multimodal neuroimaging of fatigability development.疲劳发展的多模态神经影像学

本文引用的文献

1
mGluR5 binding changes during a mismatch negativity task in a multimodal protocol with [C]ABP688 PET/MR-EEG.在采用[C]ABP688 PET/MR-EEG的多模态方案的失配负波任务期间,代谢型谷氨酸受体5(mGluR5)结合发生变化。
Transl Psychiatry. 2022 Jan 10;12(1):6. doi: 10.1038/s41398-021-01763-3.
2
Bedside detection of intracranial midline shift using portable magnetic resonance imaging.使用便携式磁共振成像进行床边颅内中线移位检测。
Sci Rep. 2022 Jan 7;12(1):67. doi: 10.1038/s41598-021-03892-7.
3
Transcranial stimulation of alpha oscillations up-regulates the default mode network.
Imaging Neurosci (Camb). 2025 Sep 2;3. doi: 10.1162/IMAG.a.132. eCollection 2025.
4
Artificial intelligence in electroencephalography analysis for epilepsy diagnosis and management.用于癫痫诊断和管理的脑电图分析中的人工智能
Front Neurol. 2025 Aug 18;16:1615120. doi: 10.3389/fneur.2025.1615120. eCollection 2025.
5
Vertical Topography in EEG Microstates: Physiology or Artifact Manifestation?脑电图微状态中的垂直地形:生理现象还是伪迹表现?
Hum Brain Mapp. 2025 Aug 1;46(11):e70294. doi: 10.1002/hbm.70294.
6
Harnessing electroencephalography connectomes for cognitive and clinical neuroscience.利用脑电图连接组学促进认知神经科学和临床神经科学发展
Nat Biomed Eng. 2025 Jul 23. doi: 10.1038/s41551-025-01442-4.
7
The role of sensory attenuation in symptomatic and healthy individuals: a scoping review.感觉衰减在有症状个体和健康个体中的作用:一项范围综述
Front Neurosci. 2025 Jun 23;19:1590127. doi: 10.3389/fnins.2025.1590127. eCollection 2025.
8
EEG-fMRI neurofeedback versus motor imagery after stroke, a randomized controlled trial.中风后脑电图-功能磁共振成像神经反馈与运动想象的随机对照试验
J Neuroeng Rehabil. 2025 Mar 25;22(1):67. doi: 10.1186/s12984-025-01598-9.
9
Editorial: Multimodal approaches to investigating neural dynamics in cognition and related clinical conditions: integrating EEG, MEG, and fMRI data.社论:研究认知及相关临床病症中神经动力学的多模态方法:整合脑电图(EEG)、脑磁图(MEG)和功能磁共振成像(fMRI)数据
Front Syst Neurosci. 2025 Feb 11;19:1495018. doi: 10.3389/fnsys.2025.1495018. eCollection 2025.
10
A Machine-Learning-Based Analysis of Resting State Electroencephalogram Signals to Identify Latent Schizotypal and Bipolar Development in Healthy University Students.基于机器学习的静息态脑电图信号分析,以识别健康大学生潜在的分裂型和双相情感障碍发展倾向
Diagnostics (Basel). 2025 Feb 13;15(4):454. doi: 10.3390/diagnostics15040454.
经颅刺激α 振荡可上调默认模式网络。
Proc Natl Acad Sci U S A. 2022 Jan 4;119(1). doi: 10.1073/pnas.2110868119.
4
Spontaneous Fluctuations in Oscillatory Brain State Cause Differences in Transcranial Magnetic Stimulation Effects Within and Between Individuals.振荡脑状态的自发波动导致个体内部和个体之间经颅磁刺激效应的差异。
Front Hum Neurosci. 2021 Dec 2;15:802244. doi: 10.3389/fnhum.2021.802244. eCollection 2021.
5
Coregistration of magnetic resonance spectroscopy and polysomnography for sleep analysis in human subjects.磁共振波谱和多导睡眠描记术在人体睡眠分析中的配准。
STAR Protoc. 2021 Nov 24;2(4):100974. doi: 10.1016/j.xpro.2021.100974. eCollection 2021 Dec 17.
6
Numerical estimation of the B1 transmit field distortion in a copper EEG trace comparison with the thin-film based resistive trace "NeoNet".铜质 EEG 轨迹中 B1 发射场失真的数值估计——与基于薄膜的电阻轨迹“NeoNet”的比较
Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:4099-4103. doi: 10.1109/EMBC46164.2021.9630326.
7
Localizing Epileptic Foci Using Simultaneous EEG-fMRI Recording: Template Component Cross-Correlation.使用同步脑电图-功能磁共振成像记录定位癫痫病灶:模板成分互相关分析
Front Neurol. 2021 Nov 15;12:695997. doi: 10.3389/fneur.2021.695997. eCollection 2021.
8
Unified Retrospective EEG Motion Educated Artefact Suppression for EEG-fMRI to Suppress Magnetic Field Gradient Artefacts During Motion.用于 EEG-fMRI 的统一回顾性 EEG 运动诱发伪影抑制,用于在运动期间抑制磁场梯度伪影。
Brain Topogr. 2021 Nov;34(6):745-761. doi: 10.1007/s10548-021-00870-0. Epub 2021 Sep 23.
9
When Is Simultaneous Recording Necessary? A Guide for Researchers Considering Combined EEG-fMRI.何时需要同步记录?给考虑联合脑电图-功能磁共振成像的研究人员的指南。
Front Neurosci. 2021 Jun 29;15:636424. doi: 10.3389/fnins.2021.636424. eCollection 2021.
10
Safety and data quality of EEG recorded simultaneously with multi-band fMRI.脑电与多频带 fMRI 同时记录的安全性和数据质量。
PLoS One. 2021 Jul 2;16(7):e0238485. doi: 10.1371/journal.pone.0238485. eCollection 2021.