The Temporal Muscle of the Head Can Cause Artifacts in Optical Imaging Studies with Functional Near-Infrared Spectroscopy.

The Temporal Muscle of the Head Can Cause Artifacts in Optical Imaging Studies with Functional Near-Infrared Spectroscopy.
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DOI:
10.3389/fnhum.2017.00456
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发表时间:
2017
影响因子:
2.9
通讯作者:
Haeussinger FB
Haeussinger FB
中科院分区:
医学3区
文献类型:
--
作者:
Schecklmann M;Mann A;Langguth B;Ehlis AC;Fallgatter AJ;Haeussinger FB

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背景:颅外信号是功能性近红外光谱(fNIRS)的主要噪声源,因为光穿透大脑皮层,也穿透头部的皮肤和肌肉。目的:通过三个实验探讨颞肌活动对近红外光谱测量的影响。材料和方法:实验1,我们通过指导31名健康受试者咬牙3次来刺激颞肌活动。我们测量了左颞叶和额叶通道的fNIRS信号,其光电极间距为3 cm,在一个短光电极距离(SOD)通道(1 cm)和颞肌边缘的肌电图(EMG)。在实验2中,我们筛选了一名健康受试者的静息状态fNIRS-fMRI(功能性磁共振成像)数据来检测颞肌伪影。在实验3中,我们使用双时间探针集筛选了声音诱发活动的数据集(n = 33),并系统地对比了呈现与未呈现工件以及被工件污染或未被工件污染的块/事件的受试者。结果:在实验1中,我们可以发现血流动力学反应样的氧合血红蛋白(O2Hb)增加和脱氧血红蛋白(hbb)减少,其幅度和空间范围都大大超过正常的皮质活动。肌电图、超氧化物歧化酶和近红外伪影活性之间的相关性仅显示出有限的证据表明在组水平上存在关联,而在亚组受试者中存在相当明显的关联。fNIRS- fmri实验表明,在颞肌伪影过程中,fNIRS被肌肉氧合完全饱和。实验3提示声诱发氧合受到颞肌伪影的污染。这与分析整个样本的相关性很低。讨论:颞肌活动,例如,在近红外光谱测量中,咬紧牙齿会引起一个大的血流动力学样伪影,这应该通过特定的受试者说明来避免。应该筛选数据,因为该工件可能通过排除受污染的块/事件来纠正。在未来的研究中,应评估已建立的伪影校正方法的有效性。结论:颞肌活动,如紧咬牙齿是近红外光谱测量噪声的主要来源之一。
Background: Extracranial signals are the main source of noise in functional near-infrared spectroscopy (fNIRS) as light is penetrating the cortex but also skin and muscles of the head. Aim: Here we performed three experiments to investigate the contamination of fNIRS measurements by temporal muscle activity. Material and methods: For experiment 1, we provoked temporal muscle activity by instructing 31 healthy subjects to clench their teeth three times. We measured fNIRS signals over left temporal and frontal channels with an interoptode distance of 3 cm, in one short optode distance (SOD) channel (1 cm) and electromyography (EMG) over the edge of the temporal muscle. In experiment 2, we screened resting state fNIRS-fMRI (functional magnetic resonance imaging) data of one healthy subject for temporal muscle artifacts. In experiment 3, we screened a dataset of sound-evoked activity (n = 33) using bi-temporal probe-sets and systematically contrasted subjects presenting vs. not presenting artifacts and blocks/events contaminated or not contaminated with artifacts. Results: In experiment 1, we could demonstrate a hemodynamic-response-like increase in oxygenated (O2Hb) and decrease in deoxygenated (HHb) hemoglobin with a large amplitude and large spatial extent highly exceeding normal cortical activity. Correlations between EMG, SOD, and fNIRS artifact activity showed only limited evidence for associations on a group level with rather clear associations in a sub-group of subjects. The fNIRS-fMRI experiment showed that during the temporal muscle artifact, fNIRS is completely saturated by muscle oxygenation. Experiment 3 showed hints for contamination of sound-evoked oxygenation by the temporal muscle artifact. This was of low relevance in analyzing the whole sample. Discussion: Temporal muscle activity e.g., by clenching the teeth induces a large hemodynamic-like artifact in fNIRS measurements which should be avoided by specific subject instructions. Data should be screened for this artifact might be corrected by exclusion of contaminated blocks/events. The usefulness of established artifact correction methods should be evaluated in future studies. Conclusion: Temporal muscle activity, e.g., by clenching the teeth is one major source of noise in fNIRS measurements.
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