Artifact Reduction in Simultaneous EEG-fMRI: A Systematic Review of Methods and Contemporary Usage.

Artifact Reduction in Simultaneous EEG-fMRI: A Systematic Review of Methods and Contemporary Usage.
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DOI:
10.3389/fneur.2021.622719
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发表时间:
2021
影响因子:
3.4
通讯作者:
Abbott DF
Abbott DF
中科院分区:
医学3区
文献类型:
--
作者:
Bullock M;Jackson GD;Abbott DF

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同步脑电图 - 功能性磁共振成像(EEG - fMRI)是一种结合大脑动态的时间(主要来自脑电图)和空间(主要来自功能性磁共振成像)指标的技术。它对于理解许多不同事件类型期间的神经元活动很有用,包括自发性癫痫放电、睡眠阶段的活动以及由外部刺激和决策任务诱发的活动。然而,在功能性磁共振成像期间记录的脑电图会受到成像、脉搏、环境和运动伪影的影响,导致噪声比感兴趣的神经元信号大很多倍。因此,伪影去除方法对于确保准确去除伪影并保留感兴趣的脑电图至关重要。本文对1998年以来发表的文献中有关同步EEG - fMRI伪影减少的方法进行了系统综述,并对2016年以来发表的EEG - fMRI研究进行了额外的系统综述。第一次综述的目的是将文献提炼为使用同步EEG - fMRI伪影减少方法的明确指南,第二次综述的目的是确定当代研究中伪影减少方法使用的普遍性。我们发现有许多已发表的可用伪影减少技术,包括硬件、基于模型和数据驱动的方法,但很少有研究充分比较这些方法。相比之下,近期的EEG - fMRI研究显示,绝大多数仅使用基于15 - 20年前发表文献的一两种伪影减少方法,新方法很少在开发它们的团队之外得到使用。令人惊讶的是,2016年以来发表的EEG - fMRI研究中,几乎15%未能充分描述所使用的伪影减少方法。我们建议在同步EEG - fMRI研究中报告伪影减少技术的最低标准,并建议需要做更多工作,以使新的伪影减少技术更容易被使用同步EEG - fMRI的研究人员和临床医生所使用。
Simultaneous electroencephalography-functional MRI (EEG-fMRI) is a technique that combines temporal (largely from EEG) and spatial (largely from fMRI) indicators of brain dynamics. It is useful for understanding neuronal activity during many different event types, including spontaneous epileptic discharges, the activity of sleep stages, and activity evoked by external stimuli and decision-making tasks. However, EEG recorded during fMRI is subject to imaging, pulse, environment and motion artifact, causing noise many times greater than the neuronal signals of interest. Therefore, artifact removal methods are essential to ensure that artifacts are accurately removed, and EEG of interest is retained. This paper presents a systematic review of methods for artifact reduction in simultaneous EEG-fMRI from literature published since 1998, and an additional systematic review of EEG-fMRI studies published since 2016. The aim of the first review is to distill the literature into clear guidelines for use of simultaneous EEG-fMRI artifact reduction methods, and the aim of the second review is to determine the prevalence of artifact reduction method use in contemporary studies. We find that there are many published artifact reduction techniques available, including hardware, model based, and data-driven methods, but there are few studies published that adequately compare these methods. In contrast, recent EEG-fMRI studies show overwhelming use of just one or two artifact reduction methods based on literature published 15–20 years ago, with newer methods rarely gaining use outside the group that developed them. Surprisingly, almost 15% of EEG-fMRI studies published since 2016 fail to adequately describe the methods of artifact reduction utilized. We recommend minimum standards for reporting artifact reduction techniques in simultaneous EEG-fMRI studies and suggest that more needs to be done to make new artifact reduction techniques more accessible for the researchers and clinicians using simultaneous EEG-fMRI.
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