The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.
Continuous monitoring of brain dynamics with functional near infrared spectroscopy as a tool for neuroergonomic research: empirical examples and a technological development
Open accessAbstract
Functional near infrared spectroscopy (fNIRS) is a non-invasive, safe, and portable optical neuroimaging method that can be used to assess brain dynamics during skill acquisition and performance of complex work and everyday tasks. In this paper we describe neuroergonomic studies that illustrate the use of fNIRS in the examination of training-related brain dynamics and human performance assessment. We describe results of studies investigating cognitive workload in air traffic controllers, acquisition of dual verbal-spatial working memory skill, and development of expertise in piloting unmanned vehicles. These studies used conventional fNIRS devices in which the participants were tethered to the device while seated at a workstation. Consistent with the aims of mobile brain imaging (MoBI), we also describe a compact and battery-operated wireless fNIRS system that performs with similar accuracy as other established fNIRS devices. Our results indicate that both wired and wireless fNIRS systems allow for the examination of brain function in naturalistic settings, and thus are suitable for reliable human performance monitoring and training assessment.
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Cites
Home visits: a strategy to improve newborn survival - Authors' reply
(2008) · Americanae (AECID Library) · doi:10.1016/s0140 · Cited by 22,524
Toward a Theory of Situation Awareness in Dynamic Systems
Endsley, M. R. (1995) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872095779049543 · Cited by 8,875
Colman (2022) · doi:10.1073/pnas · Cited by 4,370
Jöbsis, F. F. (1977) · Science · doi:10.1126/science.929199 · Cited by 3,899
N-back working memory paradigm: a meta-analysis of normative functional neuroimaging studies.
Owen, A. M., McMillan, K. M., Laird, A. R., & Bullmore, E. (2005) · Human Brain Mapping · doi:10.1002/hbm.20131 · Cited by 3,560
Philosophical Transactions of the Royal Society B: biological sciences
(2026) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb · Cited by 2,876
Working Memory Capacity as Executive Attention
Engle, R. W. (2002) · Current Directions in Psychological Science · doi:10.1111/1467-8721.00160 · Cited by 2,507
Ferrari, M., & Quaresima, V. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.049 · Cited by 2,274
Estimation of optical pathlength through tissue from direct time of flight measurement
Delpy, D. T., Cope, M., Zee, P. V. D., Arridge, S., Wray, S., & Wyatt, J. (1988) · Physics in Medicine and Biology · doi:10.1088/0031-9155/33/12/008 · Cited by 2,245
Improving fluid intelligence with training on working memory
Jaeggi, S. M., Buschkuehl, M., Jonides, J., & Perrig, W. J. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0801268105 · Cited by 2,187
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Quaresima, V., & Ferrari, M. (2019) · Organizational Research Methods · doi:10.1177/1094428116658959 · Cited by 419
A Review on the Use of Wearable Functional Near‐Infrared Spectroscopy in Naturalistic Environments
Pinti, P., Aichelburg, C., Gilbert, S., Hamilton, A., Hirsch, J., Burgess, P., & Tachtsidis, I. (2018) · Japanese Psychological Research · doi:10.1111/jpr.12206 · Cited by 325
Hong, K.-S., & Khan, M. J. (2017) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2017.00035 · Cited by 267
Using Fiberless, Wearable fNIRS to Monitor Brain Activity in Real-world Cognitive Tasks
Pinti, P., Aichelburg, C., Lind, F., Power, S., Swingler, E., Merla, A., Hamilton, A., Gilbert, S., Burgess, P., & Tachtsidis, I. (2015) · Journal of Visualized Experiments · doi:10.3791/53336 · Cited by 169
Afergan, D., Shibata, T., Hincks, S. W., Peck, E. M., Yuksel, B. F., Chang, R., & Jacob, R. J. K. (2014) · Proceedings of the 27th annual ACM symposium on User interface software and technology · doi:10.1145/2642918.2647414 · Cited by 19
Metadata
- Authors
- Ayaz, H., Onaral, B., Izzetoglu, K., Shewokis, P. A., McKendrick, R., & Parasuraman, R.
- Venue
- Frontiers in Human Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2013
- Volume
- 7
- Pages
- 871-871
- ISSN
- 1662-5161 (ISSN-L)
- OpenAlex
- W2110569191
- Cited by
- 288
- References
- 74
- FWCI
- 11.88
- Type
- journal article
- Language
- en
- Open access
- gold
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- Ayaz, H., Onaral, B., Izzetoglu, K., Shewokis, P. A., McKendrick, R., & Parasuraman, R. (2013). Continuous monitoring of brain dynamics with functional near infrared spectroscopy as a tool for neuroergonomic research: empirical examples and a technological development. Frontiers in Human Neuroscience. https://doi.org/10.3389/fnhum.2013.00871
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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