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在近红外成像中,使用外周测量作为噪声回归量对混合全身低频振荡的神经元信号进行去噪处理。

Denoising of neuronal signal from mixed systemic low-frequency oscillation using peripheral measurement as noise regressor in near-infrared imaging.

作者信息

Sutoko Stephanie, Chan Yee Ling, Obata Akiko, Sato Hiroki, Maki Atsushi, Numata Takashi, Funane Tsukasa, Atsumori Hirokazu, Kiguchi Masashi, Tang Tong Boon, Li Yingwei, Frederick Blaise deB, Tong Yunjie

机构信息

Hitachi, Ltd., Center for Exploratory Research, Research & Development Group, Akanuma, Hatoyama, Saitama, Japan.

Universiti Teknologi PETRONAS, Electrical and Electronic Engineering Department, Bandar Seri Iskandar, Tronoh Perak, Malaysia.

出版信息

Neurophotonics. 2019 Jan;6(1):015001. doi: 10.1117/1.NPh.6.1.015001. Epub 2019 Jan 9.

Abstract

Functional near-infrared spectroscopy (fNIRS) is a noninvasive functional imaging technique measuring hemodynamic changes including oxygenated ( ) and deoxygenated (HHb) hemoglobin. Low frequency (LF; 0.01 to 0.15 Hz) band is commonly analyzed in fNIRS to represent neuronal activation. However, systemic physiological artifacts (i.e., nonneuronal) likely occur also in overlapping frequency bands. We measured peripheral photoplethysmogram (PPG) signal concurrently with fNIRS (at prefrontal region) to extract the low-frequency oscillations (LFOs) as systemic noise regressors. We investigated three main points in this study: (1) the relationship between prefrontal fNIRS and peripheral PPG signals; (2) the denoising potential using these peripheral LFOs, and (3) the innovative ways to avoid the false-positive result in fNIRS studies. We employed spatial working memory (WM) and control tasks (e.g., resting state) to illustrate these points. Our results showed: (1) correlation between signals from prefrontal fNIRS and peripheral PPG is region-dependent. The high correlation with peripheral ear signal (i.e., ) occurred mainly in frontopolar regions in both spatial WM and control tasks. This may indicate the finding of task-dependent effect even in peripheral signals. We also found that the PPG recording at the ear has a high correlation with prefrontal fNIRS signal than the finger signals. (2) The systemic noise was reduced by 25% to 34% on average across regions, with a maximum of 39% to 58% in the highly correlated frontopolar region, by using these peripheral LFOs as noise regressors. (3) By performing the control tasks, we confirmed that the statistically significant activation was observed in the spatial WM task, not in the controls. This suggested that systemic (and any other) noises unlikely violated the major statistical inference. (4) Lastly, by denoising using the task-related signals, the significant activation of region-of-interest was still observed suggesting the manifest task-evoked response in the spatial WM task.

摘要

功能近红外光谱技术(fNIRS)是一种非侵入性的功能成像技术,用于测量包括氧合血红蛋白( )和脱氧血红蛋白(HHb)在内的血流动力学变化。在fNIRS中,通常分析低频(LF;0.01至0.15赫兹)频段来表示神经元激活。然而,系统性生理伪影(即非神经元性的)也可能出现在重叠的频段中。我们在前额叶区域同时测量了外周光电容积脉搏波信号(PPG)和fNIRS信号,以提取低频振荡(LFOs)作为系统性噪声回归变量。在本研究中,我们探讨了三个要点:(1)前额叶fNIRS与外周PPG信号之间的关系;(2)使用这些外周LFOs进行去噪的潜力;以及(3)避免fNIRS研究中出现假阳性结果的创新方法。我们采用空间工作记忆(WM)和对照任务(如静息状态)来说明这些要点。我们的结果表明:(1)前额叶fNIRS与外周PPG信号之间的相关性具有区域依赖性。在空间WM任务和对照任务中,与外周耳部信号(即 )的高相关性主要出现在额极区域。这可能表明即使在外周信号中也发现了任务依赖性效应。我们还发现,耳部的PPG记录与前额叶fNIRS信号的相关性高于手指信号。(2)通过将这些外周LFOs用作噪声回归变量,各区域的系统性噪声平均降低了25%至34%,在高度相关的额极区域最大降低了39%至58%。(3)通过执行对照任务,我们证实了在空间WM任务中观察到了具有统计学意义的激活,而在对照任务中未观察到。这表明系统性(以及任何其他)噪声不太可能违反主要的统计推断。(4)最后,通过使用与任务相关的信号进行去噪,仍然观察到了感兴趣区域的显著激活,这表明在空间WM任务中存在明显的任务诱发反应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d7e/6326259/2bb2e3b1faf6/NPh-006-015001-g001.jpg

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