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Neurovascular coupling analysis of working memory based on electroencephalography and functional near-infrared spectroscopy / 生物医学工程学杂志
Journal of Biomedical Engineering ; (6): 228-236, 2022.
Article in Chinese | WPRIM | ID: wpr-928218
ABSTRACT
Working memory is an important foundation for advanced cognitive function. The paper combines the spatiotemporal advantages of electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) to explore the neurovascular coupling mechanism of working memory. In the data analysis, the convolution matrix of time series of different trials in EEG data and hemodynamic response function (HRF) and the blood oxygen change matrix of fNIRS are extracted as the coupling characteristics. Then, canonical correlation analysis (CCA) is used to calculate the cross correlation between the two modal features. The results show that CCA algorithm can extract the similar change trend of related components between trials, and fNIRS activation of frontal pole region and dorsolateral prefrontal lobe are correlated with the delta, theta, and alpha rhythms of EEG data. This study reveals the mechanism of neurovascular coupling of working memory, and provides a new method for fusion of EEG data and fNIRS data.
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Full text: Available Index: WPRIM (Western Pacific) Main subject: Prefrontal Cortex / Spectroscopy, Near-Infrared / Electroencephalography / Neurovascular Coupling / Memory, Short-Term Language: Chinese Journal: Journal of Biomedical Engineering Year: 2022 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Prefrontal Cortex / Spectroscopy, Near-Infrared / Electroencephalography / Neurovascular Coupling / Memory, Short-Term Language: Chinese Journal: Journal of Biomedical Engineering Year: 2022 Type: Article