Evidence map›Paper›PMID 42530784›Full record

ArticleMedical & biological engineering & computing2026

A novel neurovascular coupling analysis method based on simultaneous EEG-fNIRS for investigating the effects of working memory load.

Yu Wang, Qi Pan, Bin Wen, Qiong Wu, Qiumin Qu, Jilun Ye, Xu Zhang, Jin Xu

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Article in Medical & biological engineering & computing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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8 authors.

Yu WangThe 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.ORCID http://orcid.org/0009-0004-5267-3159
Qi PanDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, People's Republic of China.
Bin WenThe 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.ORCID http://orcid.org/0000-0002-0555-4024
Qiong WuDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, People's Republic of China.
Qiumin QuDepartment of Neurology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, People's Republic of China.ORCID http://orcid.org/0000-0002-5634-6209
Jilun YeSchool of Biomedical Engineering, Shenzhen University, Shenzhen, Guangdong, 518060, People's Republic of China.
Xu ZhangSchool of Biomedical Engineering, Shenzhen University, Shenzhen, Guangdong, 518060, People's Republic of China.
Jin XuThe 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. xujin@mail.xjtu.edu.cn.ORCID http://orcid.org/0000-0003-0887-7619

Funding

Key Project of Laboratory of Natural Science Foundation Research Program of Shaanxi Province 2025SYS-SYSZD-092National Natural Science Foundation of China 62273271Shenzhen Municipal Science and Technology Innovation Commission's Major Industrial Research Projects KJZD20230923114306013
6 · The paper itself

Abstract

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.

Indexed as

ElectroencephalographyMemory, Short-TermNeurovascular CouplingAgedBrainFemaleHumansMaleMiddle AgedReaction TimeSignal Processing, Computer-AssistedSpectroscopy, Near-InfraredConnectivity-related neural activity (CRNA)Neurovascular Couplings (NVC) analysisSimultaneous EEG-fNIRSWorking Memory Load

Identifiers

PMID42530784

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.