Zhou Ligang, Xiao Fang, Shen Ning, Wang Yalin, Tang Jinbu, Luo Jingchun, Chen Wei, Chen Chen
School of Information Science and Technology, Fudan University, Shanghai, 200433 China.
Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, 201203 China.
Phenomics. 2024 Dec 31;5(2):219-237. doi: 10.1007/s43657-023-00148-4. eCollection 2025 Apr.
Multi-modal signal measurement is widely used in health monitoring and disease recognition, such as electroencephalography (EEG)-functional magnetic resonance imaging (fMRI), EEG-functional near-infrared spectroscopy (fNIRS), EEG-electrocardiograph (ECG), etc. The concurrent recording of EEG-fNIRS not only measures concentration changes of oxyhemoglobin (HbO) and deoxyhemoglobin (HbR) of the cortical microcirculation blood vessels but also records electrical activities of the cerebral cortex in a relatively portable setting compared with EEG-fMRI and other patterns. This protocol proposes a standard operating procedure for the joint EEG-fNIRS measurement, including electrode placement, hardware, and software. In the signal process, artifacts' removal, EEG-fNIRS phenotypes extraction by software and self-developed algorithm ways, and data storage are involved. In addition, solutions to problems that may be encountered in this protocol are also presented. This protocol is expected to broaden the application of joint EEG-fNIRS measurement and gain a deeper understanding of the underlying neural activation pattern and mechanism of the brain.
多模态信号测量广泛应用于健康监测和疾病识别中,如脑电图(EEG)-功能磁共振成像(fMRI)、EEG-功能近红外光谱(fNIRS)、EEG-心电图(ECG)等。EEG-fNIRS的同步记录不仅可以测量皮质微循环血管中氧合血红蛋白(HbO)和脱氧血红蛋白(HbR)的浓度变化,而且与EEG-fMRI和其他模式相比,还能在相对便携的环境中记录大脑皮层的电活动。本方案提出了EEG-fNIRS联合测量的标准操作程序,包括电极放置、硬件和软件。在信号处理过程中,涉及伪迹去除、通过软件和自主开发的算法方式提取EEG-fNIRS表型以及数据存储。此外,还介绍了本方案中可能遇到的问题的解决方法。本方案有望拓宽EEG-fNIRS联合测量的应用范围,并更深入地了解大脑潜在的神经激活模式和机制。