Kuroda Toshikazu, Kobler Reinmar J, Ogawa Takeshi, Tsutsumi Mizuki, Kishi Tomohiko, Kawanabe Motoaki
Cognitive Mechanisms Laboratories, Advanced Telecommunications Research Institute International, Hikaridai, Seika-cho, Soraku-gun, Kyoto, Japan.
RIKEN Center for Advanced Intelligence Project, Hikaridai, Seika-cho, Soraku-gun, Kyoto, Japan.
Imaging Neurosci (Camb). 2024 Aug 29;2. doi: 10.1162/imag_a_00272. eCollection 2024.
Simultaneous electroencephalography-functional magnetic resonance imaging (EEG-fMRI) has potential for elucidating brain activities but suffers from severe noise/artifacts in EEG. While several countermeasures have been developed, it remains difficult to evaluate noise reductions in the absence of ground truth in EEG. We introduce a new evaluation method which takes advantage of high test-retest reliability of EEG microstate metrics. We assumed, if the reliability is high for a pair of EEG recorded outside an MR scanner on two different days, then it should also be high for a pair of EEG recorded inside and outside the scanner on the same day if MR-induced noise is absent. Thus, noise should be removed in a way that the reliability increases. Accordingly, we obtained EEG both inside and outside the scanner on two different days. Using ICC as an index, we examined test-retest reliability for 1) a pair of EEG outside the scanner across the days, 2) a pair of EEG inside and outside the scanner on the same day, and 3) a pair of EEG inside the scanner across the days. MR-induced noise, BCG artifact in particular, was reduced with joint decorrelation with varying thresholds. We obtained moderately high reliability in all the three pairs (ICCs > 0.5), suggesting sufficient noise reductions. Taking these steps, the quality of EEG improved as assessed with its traces, power spectra density, and microstate templates in resting state as well as event-related potentials in a visual oddball task. We discuss advantages and limitations of this new evaluation method.
同步脑电图-功能磁共振成像(EEG-fMRI)在阐明大脑活动方面具有潜力,但脑电图存在严重的噪声/伪迹。虽然已经开发了几种应对措施,但在脑电图缺乏地面真值的情况下,仍然难以评估降噪效果。我们引入了一种新的评估方法,该方法利用了脑电图微状态指标的高重测信度。我们假设,如果在磁共振扫描仪外不同日期记录的一对脑电图的信度很高,那么如果不存在磁共振诱导噪声,同一天在扫描仪内外记录的一对脑电图的信度也应该很高。因此,噪声应以提高信度的方式去除。相应地,我们在两个不同日期在扫描仪内外都获得了脑电图。使用组内相关系数(ICC)作为指标,我们检查了以下三种情况的重测信度:1)不同日期在扫描仪外的一对脑电图;2)同一天在扫描仪内外的一对脑电图;3)不同日期在扫描仪内的一对脑电图。通过使用不同阈值的联合去相关,降低了磁共振诱导噪声,特别是体动伪迹。我们在所有三对中都获得了中等偏高的信度(ICC>0.5),表明有足够的降噪效果。通过这些步骤,从静息状态下的脑电图轨迹、功率谱密度和微状态模板以及视觉Oddball任务中的事件相关电位评估,脑电图质量得到了改善。我们讨论了这种新评估方法的优点和局限性。