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Updated: Aug 5, 2026
Conducting Concurrent Electroencephalography and Functional Near-Infrared Spectroscopy Recordings with a Flanker Task
Published on: May 24, 2020
A novel neurovascular coupling analysis method based on simultaneous EEG-fNIRS for investigating the effects of
1The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, People's Republic of China.
None:
The relationship between neural activities and hemodynamic responses was referred to as neurovascular coupling (NVC). Although several methodologies were proposed for the NVC study, these approaches may be constrained in extracting event-related neural activities (ERNA) and lacking the characterization of NVC. To optimize the extraction of ERNA, the modified connectivity-related neural activity (CRNA) was extracted by combining the absolute value of neural oscillation with non-negative matrix factorization (NNMF). Then, cross-correlation between modified CRNA and hemoglobin oxygenation (HbO) was computed to represent NVC, and temporal and intensity parameters of NVC were extracted, respectively. A digit-Sternberg task was designed with three different levels for investigating effects of working memory load (WML) on NVC. Electroencephalography (EEG) and functional near infrared spectroscopy (fNIRS)were recorded simultaneously in 30 healthy elderly adults. We observed that as WML increased, NVC intensity at prefrontal and parietal regions exhibited a notable enhancement, while NVC lag exhibited a significant decrease. Furthermore, a significant negative correlation was found between NVC intensity and reaction time (RT). The proposed NVC analysis method could effectively characterize the influence of WML changes on NVC.
