The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.
A NIRS-fMRI investigation of prefrontal cortex activity during a working memory task
Abstract
Near-infrared spectroscopy (NIRS) is commonly used for studying human brain function. However, several studies have shown that superficial hemodynamic changes such as skin blood flow can affect the prefrontal NIRS hemoglobin (Hb) signals. To examine the criterion-related validity of prefrontal NIRS-Hb signals, we focused on the functional signals during a working memory (WM) task and investigated their similarity with blood-oxygen-level-dependent (BOLD) signals simultaneously measured by functional magnetic resonance imaging (fMRI). We also measured the skin blood flow with a laser Doppler flowmeter (LDF) at the same time to examine the effect of superficial hemodynamic changes on the NIRS-Hb signals. Correlation analysis demonstrated that temporal changes in the prefrontal NIRS-Hb signals in the activation area were significantly correlated with the BOLD signals in the gray matter rather than those in the soft tissue or the LDF signals. While care must be taken when comparing the NIRS-Hb signal with the extracranial BOLD or LDF signals, these results suggest that the NIRS-Hb signal mainly reflects hemodynamic changes in the gray matter. Moreover, the amplitudes of the task-related responses of the NIRS-Hb signals were significantly correlated with the BOLD signals in the gray matter across participants, which means participants with a stronger NIRS-Hb response showed a stronger BOLD response. These results thus provide supportive evidence that NIRS can be used to measure hemodynamic signals originating from prefrontal cortex activation.
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“Research using these devices has demonstrated agreement between measurements obtained from fNIRS vs. the gold standard of functional magnetic resonance imaging (Mehagnoul-Schipper et al., 2002; Huppert et al., 2006; Sato et al., 2013; Moriguchi et al., 2017).”
From A Critical Review of Consumer Wearables, Mobile Applications, and Equipment for Providing Biofeedback, Monitoring Stress, and Sleep in Physically Active Populations (2018) · cites this paper as Sato et al., 2013
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Cites
Plum, F. (1960) · Archives of Neurology · doi:10.1001/archneur.1960.03840090124020 · Cited by 10,388
Cohen, J. (1992) · Psychological Bulletin · doi:10.1037//0033-2909.112.1.155 · Cited by 8,771
Brain magnetic resonance imaging with contrast dependent on blood oxygenation.
Ogawa, S., Lee, T. M., Kay, A. R., & Tank, D. W. (1990) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.87.24.9868 · Cited by 6,483
Thresholding of statistical maps in functional neuroimaging using the false discovery rate
Genovese, C. R., Lazar, N. A., & Nichols, T. (2002) · NeuroImage · doi:10.1006/nimg.2001.1037 · Cited by 4,923
Jöbsis, F. F. (1977) · Science · doi:10.1126/science.929199 · Cited by 3,899
Stereotaxic Display of Brain Lesions
Rorden, C., & Brett, M. (2000) · Behavioural Neurology · doi:10.1155/2000/421719 · Cited by 2,573
Taussig, M. (1991) · Routledge eBooks · doi:10.4324/9780203397244 · Cited by 2,403
Oxygenation‐sensitive contrast in magnetic resonance image of rodent brain at high magnetic fields
Ogawa, S., Lee, T., Nayak, A. S., & Glynn, P. (1990) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910140108 · Cited by 2,269
Estimation of optical pathlength through tissue from direct time of flight measurement
Delpy, D. T., Cope, M., van der Zee, P., Arridge, S., Wray, S., & Wyatt, J. S. (1988) · Physics in Medicine and Biology · doi:10.1088/0031-9155/33/12/008 · Cited by 2,251
Fisher, R. A. (1915) · Biometrika · doi:10.1093/biomet/10.4.507 · Cited by 2,230
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fNIRS-based brain-computer interfaces: a review
Naseer, N., & Hong, K.-S. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00003 · Cited by 988
Mapping distributed brain function and networks with diffuse optical tomography
Eggebrecht, A. T., Ferradal, S. L., Robichaux‐Viehoever, A., Hassanpour, M. S., Dehghani, H., Snyder, A. Z., Hershey, T. G., & Culver, J. P. (2014) · Nature Photonics · doi:10.1038/nphoton.2014.107 · Cited by 616
Peake, J. M., Kerr, G., & Sullivan, J. P. (2018) · Frontiers in Physiology · doi:10.3389/fphys.2018.00743 · Cited by 523
NIRS-KIT: a MATLAB toolbox for both resting-state and task fNIRS data analysis
Hou, X., Zong, Z., Zhao, C., Duan, L. F., Gong, Y., Li, Z., & Zhu, C. (2021) · Neurophotonics · doi:10.1117/1.nph.8.1.010802 · Cited by 304
A Hitchhiker's Guide to Functional Magnetic Resonance Imaging
Soares, J. M., Magalhães, R. J. D. S., Moreira, P. S., Sousa, A., Ganz, E., Sampaio, A., Alves, V., Marques, P., & Sousa, N. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00515 · Cited by 304
Metadata
- Authors
- Sato, H., Yahata, N., Funane, T., Takizawa, R., Katura, T., Atsumori, H., Nishimura, Y., Kinoshita, A., Kiguchi, M., Koizumi, H., Fukuda, M., & Kasai, K.
- Affiliations
- Hitachi (Japan) (JP)
- The University of Tokyo (JP)
- King's College London (GB)
- Gunma University (JP)
- Corresponding author
- Sato, Hiroki
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2013-12
- Volume
- 83
- Pages
- 158-173
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2046254753
- Cited by
- 339
- References
- 70
- Citations by year
- 2026: 12 · 2025: 24 · 2024: 15 · 2023: 23 · 2022: 19 · 2021: 48 · 2020: 33 · 2019: 20 · 2018: 38 · 2017: 25 · 2016: 26 · 2015: 31 · 2014: 19 · 2013: 5
- FWCI
- 20.91
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Ministry of Education, Culture, Sports, Science and Technology
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Optical Imaging and Spectroscopy Techniques
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- near-infrared spectroscopy, prefrontal cortex, working memory, BOLD signal, criterion validity, skin blood flow, laser Doppler flowmetry, hemodynamic response
- MeSH terms
- Adult, Brain Mapping, Female, Humans, Magnetic Resonance Imaging, Male, Memory, Short-Term, Middle Aged, Nerve Net, Oxygen Consumption, Sensitivity and Specificity, Task Performance and Analysis, Reproducibility of Results, Prefrontal Cortex, Spectroscopy, Near-Infrared
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