EEG-LLAMAS: A low-latency neurofeedback platform for artifact reduction in EEG-fMRI.
EEG-LLAMAS: A low-latency neurofeedback platform for artifact reduction in EEG-fMRI.
复制标题
DOI：
10.1016/j.neuroimage.2023.120092
复制
发表时间：
2023-06
期刊：
影响因子：
5.7
通讯作者：
Lewis, Laura D.
中科院分区：
文献类型：
--
作者：
Levitt, Joshua;Yang, Zinong;Williams, Stephanie D.;Espinosa, Stefan E. Luetschg;Garcia-Casal, Allan;Lewis, Laura D.
同步EEG-fMRI是一种功能强大的多模态脑成像技术，但其在神经反馈实验中的应用受到MRI环境引起的EEG噪声的限制。神经反馈研究通常需要对EEG进行真实的时间分析，但在扫描仪内采集的EEG严重污染了心冲击图（BCG）伪影，这是一种锁定到心动周期的高振幅伪影。尽管确实存在消除BCG伪影的技术，但它们要么不适合实时、低延迟应用（例如神经反馈），要么功效有限。我们提出并验证了一种新的开源伪影去除软件，称为EEG-LLAMAS（低延迟消除采集软件），该软件适应并改进了现有的伪影去除技术，用于低延迟实验。我们首先使用模拟来验证具有已知地面真实数据的数据中的LLAMAS。我们发现LLAMAS在恢复EEG波形、功率谱和慢波相位的能力方面优于公开的最佳实时BCG去除技术、最优基集（OBS）。为了确定LLAMAS在实践中是否有效，我们使用它来进行健康成年人的实时EEG-fMRI记录，使用稳态视觉诱发电位（SSVEP）任务。我们发现，LLAMAS是能够恢复的SSVEP在真实的时间，并恢复扫描仪外收集的功率谱比OBS。我们还测量了LLAMAS在现场录音的延迟，并发现它引入了平均小于50毫秒的滞后。LLAMAS的低延迟，加上其改进的伪影减少，因此可以有效地用于脑电功能磁共振成像神经反馈。该方法的一个局限性是它使用了一个参考层，这是一个EEG设备，它不是商业上可用的，但可以在内部组装。该平台实现了以前非常困难的闭环实验，例如针对短持续时间EEG事件的实验，并与神经科学界开放共享。
Simultaneous EEG-fMRI is a powerful multimodal technique for imaging the brain, but its use in neurofeedback experiments has been limited by EEG noise caused by the MRI environment. Neurofeedback studies typically require analysis of EEG in real time, but EEG acquired inside the scanner is heavily contaminated with ballistocardiogram (BCG) artifact, a high-amplitude artifact locked to the cardiac cycle. Although techniques for removing BCG artifacts do exist, they are either not suited to real-time, low-latency applications, such as neurofeedback, or have limited efficacy. We propose and validate a new open-source artifact removal software called EEG-LLAMAS (Low Latency Artifact Mitigation Acquisition Software), which adapts and advances existing artifact removal techniques for low-latency experiments. We first used simulations to validate LLAMAS in data with known ground truth. We found that LLAMAS performed better than the best publicly-available real-time BCG removal technique, optimal basis sets (OBS), in terms of its ability to recover EEG waveforms, power spectra and slow wave phase. To determine whether LLAMAS would be effective in practice, we then used it to conduct real-time EEG-fMRI recordings in healthy adults, using a steady state visual evoked potential (SSVEP) task. We found that LLAMAS was able to recover the SSVEP in real time, and recovered the power spectra collected outside the scanner better than OBS. We also measured the latency of LLAMAS during live recordings, and found that it introduced a lag of less than 50 ms on average. The low latency of LLAMAS, coupled with its improved artifact reduction, can thus be effectively used for EEG-fMRI neurofeedback. A limitation of the method is its use of a reference layer, a piece of EEG equipment which is not commercially available, but can be assembled in-house. This platform enables closed-loop experiments which previously would have been prohibitively difficult, such as those that target short-duration EEG events, and is shared openly with the neuroscience community.
登录
查看更多内容
DOI：
10.1073/pnas.1608117113
发表时间：
2016-10-25
影响因子：
11.1
作者：
Lewis, Laura D.;Setsompop, Kawin;Polimeni, Jonathan R.
通讯作者：
Polimeni, Jonathan R.
影响因子：
5.7
作者：
Jorge, Joao;Grouiller, Frederic;Gruetter, Rolf
通讯作者：
Gruetter, Rolf
影响因子：
3.3
作者：
Barth M;Breuer F;Koopmans PJ;Norris DG;Poser BA
通讯作者：
Poser BA
影响因子：
3.4
作者：
Bullock M;Jackson GD;Abbott DF
通讯作者：
Abbott DF
影响因子：
5.7
作者：
Abdelnour AF;Huppert T
通讯作者：
Huppert T