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Functional Near-Infrared Spectroscopy (fNIRS) in Neuroergonomics

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Neuroergonomics

Part of the book series: Cognitive Science and Technology ((CSAT))

Abstract

This chapter focuses on functional near-infrared spectroscopy (fNIRS) and its applications in the field of neuroergonomics. Due to the small, portable, and flexible nature of fNIRS, it has been able to track the neurocognitive behavior of participants during complex and ambulatory activities. This chapter presents a comprehensive summary and review of fNIRS technology with respect to its design, implementation, and measurements. The three different types of fNIRS that exist—continuous wave, frequency domain, and time domain—are further explained through example studies of each tool in action. We also provide detailed technological information on numerous studies that focus on the four main topics that fNIRS has frequently been used for: driving, mental workload, motor function, and decision-making. It then concludes with the directions and potential applications that fNIRS can be used for in the future. The main purpose of this chapter is to show the necessity and value of fNIRS in research and how it is able to provide accurate information in situations that would have otherwise been inaccessible.

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References

  • Aghajani, H., Garbey, M., & Omurtag, A. (2017). Measuring mental workload with eEG + fNIRS. Frontiers in Human Neuroscience, 11, 1–20.

    Article  Google Scholar 

  • 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, 7, 871.

    Google Scholar 

  • Ayaz, H., Shewokis, P. A., Bunce, S., Izzetoglu, K., Willems, B., & Onaral, B. (2012). Optical brain monitoring for operator training and mental workload assessment. NeuroImage, 59(1), 36–47.

    Article  Google Scholar 

  • Balconi, M., & Vanutelli, M. E. (2017). Brains in competition: Improved cognitive performance and inter-brain coupling by hyperscanning paradigm with functional near-infrared spectroscopy. Frontiers in Behavioral Neuroscience, 11, 1–10.

    Article  Google Scholar 

  • Beurskens, R., Helmich, I., Rein, R., & Bock, O. (2014). Age-related changes in prefrontal activity during walking in dual-task situations: A fNIRS study. International Journal of Psychophysiology, 92(3), 122–128.

    Article  Google Scholar 

  • Boas, D. A., Elwell, C. E., Ferrari, M., & Taga, G. (2014). Twenty years of functional near-infrared spectroscopy: Introduction for the special issue. NeuroImage, 85, 1–5.

    Article  Google Scholar 

  • Brigadoi, S., Ceccherini, L., Cutini, S., Scarpa, F., Scatturin, P., Selb, J., … Cooper, R. J. (2014). Motion artifacts in functional near-infrared spectroscopy: A comparison of motion correction techniques applied to real cognitive data. NeuroImage, 85, 181–191.

    Article  Google Scholar 

  • Bunce, S. C., Izzetoglu, K., Ayaz, H., Shewokis, P., Izzetoglu, M., Pourrezaei, K., & Onaral, B. (2011). Implementation of fNIRS for monitoring levels of expertise and mental workload. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6780 LNAI (pp. 13–22).

    Google Scholar 

  • Buxton, R. B. (2012). Dynamic models of BOLD contrast. Neuroimage, 62(2), 953–961.

    Article  Google Scholar 

  • Causse, M., Chua, Z., Peysakhovich, V., Del Campo, N., & Matton, N. (2017). Mental workload and neural efficiency quantified in the prefrontal cortex using fNIRS. Scientific Reports, 7(1), 1–16.

    Article  Google Scholar 

  • Cui, X., Bray, S., & Reiss, A. L. (2010). Functional near infrared spectroscopy (NIRS) signal improvement based on negative correlation between oxygenated and deoxygenated hemoglobin dynamics. NeuroImage, 49(4), 3039–3046.

    Article  Google Scholar 

  • Curtin, A., & Ayaz, H. (2018). The age of neuroergonomics: Towards ubiquitous and continuous measurement of brain function with fNIRS. Japanese Psychological Research, 60(4), 374–386.

    Article  Google Scholar 

  • Davies, D. J., Clancy, M., Lighter, D., Balanos, G. M., Lucas, S. J. E., Dehghani, H., … & Belli, A. (2017). Frequency-domain vs continuous-wave near-infrared spectroscopy devices: A comparison of clinically viable monitors in controlled hypoxia. Journal of Clinical Monitoring and Computing, 31(5), 967–974.

    Google Scholar 

  • de Winkel, K. N., Nesti, A., Ayaz, H., & BĂĽlthoff, H. H. (2017). Neural correlates of decision making on whole body yaw rotation: An fNIRS study. Neuroscience Letters, 654, 56–62.

    Article  Google Scholar 

  • Fallgatter, A. J., & Strik, W. K. (1998). Frontal brain activation during the Wisconsin Card Sorting Test assessed with two-channel near-infrared spectroscopy. European Archives of Psychiatry and Clinical Neuroscience, 248(5), 245–249.

    Article  Google Scholar 

  • Fishburn, F. A., Norr, M. E., Medvedev, A. V., & Vaidya, C. J. (2014). Sensitivity of fNIRS to cognitive state and load. Frontiers in Human Neuroscience, 8, 1–11.

    Article  Google Scholar 

  • Foy, H. J., Runham, P., & Chapman, P. (2016). Prefrontal cortex activation and young driver behaviour: A fNIRS study. PLoS ONE, 11(5), 1–18.

    Article  Google Scholar 

  • Gateau, T., Ayaz, H., Dehais, F., & Lotte, F. (2018). In silico vs over the clouds: On-the-fly mental state estimation of aircraft pilots, using a functional near infrared spectroscopy based passive-BCI. Frontiers in Human Neuroscience, 12, 1–14.

    Article  Google Scholar 

  • Gateau, T., Durantin, G., Lancelot, F., Scannella, S., & Dehais, F. (2015). Real-time state estimation in a flight simulator using fNIRS. PLoS ONE, 10(3), 1–19.

    Article  Google Scholar 

  • Haas, D., & Keel, C. (2003). An integrative theory of prefrontal cortex function. Annual Review of Phytopathology, 41(1), 117–153.

    Article  Google Scholar 

  • Harrison, J., Izzetoǧlu, K., Ayaz, H., Willems, B., Hah, S., Ahlstrom, U., … Onaral, B. (2014). Cognitive workload and learning assessment during the implementation of a next-generation air traffic control technology using functional near-infrared spectroscopy. IEEE Transactions on Human-Machine Systems, 44(4), 429–440.

    Article  Google Scholar 

  • Herff, C., Heger, D., Fortmann, O., Hennrich, J., Putze, F., & Schultz, T. (2014). Mental workload during n-back task—Quantified in the prefrontal cortex using fNIRS. Frontiers in Human Neuroscience, 7, 1–9.

    Article  Google Scholar 

  • Herrmann, M. J., Ehlis, A.-C., & Fallgatter, A. J. (2003). Frontal activation during a verbal-fluency task as measured by near-infrared spectroscopy. Brain Research Bulletin, 61(1), 51–56.

    Article  Google Scholar 

  • Holper, L., Muehlemann, T., Scholkmann, F., Eng, K., Kiper, D., & Wolf, M. (2010). Testing the potential of a virtual reality neurorehabilitation system during performance of observation, imagery and imitation of motor actions recorded by wireless functional near-infrared spectroscopy (fNIRS). Journal of Neuroengineering and Rehabilitation, 7(1), 57.

    Article  Google Scholar 

  • Holper, L., Scholkmann, F., & Wolf, M. (2012). Between-brain connectivity during imitation measured by fNIRS. NeuroImage, 63(1), 212–222.

    Article  Google Scholar 

  • Hu, X. S., Hong, K. S., & Ge, S. S. (2012). fNIRS-based online deception decoding. Journal of Neural Engineering, 9(2).

    Google Scholar 

  • Khan, R. A., Naseer, N., Qureshi, N. K., Noori, F. M., Nazeer, H., & Khan, M. U. (2018). FNIRS-based neurorobotic interface for gait rehabilitation. Journal of NeuroEngineering and Rehabilitation, 15(1), 1–17.

    Article  Google Scholar 

  • Kikukawa, A., Kobayashi, A., & Miyamoto, Y. (2008). Monitoring of pre-frontal oxygen status in helicopter pilots using near-infrared spectrophotometers. Dynamic Medicine, 7(1), 1–10.

    Article  Google Scholar 

  • Leamy, D. J., Collins, R., & Ward, T. E. (2011). Combining fNIRS and EEG to improve motor cortex activity classification during an imagined movement-based task. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6780 LNAI (pp. 177–185).

    Google Scholar 

  • LeĂłn-CarriĂłn, J., & LeĂłn-DomĂ­nguez, U. (2012). Functional near-infrared spectroscopy (fNIRS): Principles and neuroscientific applications. In Neuroimaging-methods. IntechOpen.

    Google Scholar 

  • Li, L., Liu, Z., Zhu, H., Zhu, L., & Huang, Y. (2018). Functional near-infrared spectroscopy in the evaluation of urban rail transit drivers’ mental workload under simulated driving conditions. Ergonomics, 0(0), 1–14.

    Google Scholar 

  • Lin, P. Y., Chen, J. J. J., & Lin, S. I. (2013). The cortical control of cycling exercise in stroke patients: An fNIRS study. Human Brain Mapping, 34(10), 2381–2390.

    Google Scholar 

  • Lin, J. H., Maikala, R. V., McGorry, R., & Brunette, C. (2010). NIRS application in evaluating threaded-fastener driving assembly tasks. International Journal of Industrial Ergonomics, 40(2), 146–152.

    Article  Google Scholar 

  • Liu, Z., Zhang, M., Xu, G., Huo, C., Tan, Q., Li, Z., et al. (2017). Effective connectivity analysis of the brain network in drivers during actual driving using near-infrared spectroscopy. Frontiers in Behavioral Neuroscience, 11, 1–11.

    Google Scholar 

  • Lu, C. M., Zhang, Y. J., Biswal, B. B., Zang, Y. F., Peng, D. L., & Zhu, C. Z. (2010). Use of fNIRS to assess resting state functional connectivity. Journal of Neuroscience Methods, 186(2), 242–249.

    Article  Google Scholar 

  • Luu, S., & Chau, T. (2008). Decoding subjective preference from single-trial near-infrared spectroscopy signals. Journal of Neural Engineering, 6(1), 16003.

    Article  Google Scholar 

  • McKendrick, R., Ayaz, H., Olmstead, R., & Parasuraman, R. (2014). Enhancing dual-task performance with verbal and spatial working memory training: Continuous monitoring of cerebral hemodynamics with NIRS. NeuroImage, 85, 1014–1026.

    Article  Google Scholar 

  • Metzger, F. G., Ehlis, A. C., Haeussinger, F. B., Schneeweiss, P., Hudak, J., Fallgatter, A. J., & Schneider, S. (2017). Functional brain imaging of walking while talking—An fNIRS study. Neuroscience, 343, 85–93. https://doi.org/10.1016/j.neuroscience.2016.11.032.

    Article  Google Scholar 

  • Minati, L., Kress, I. U., Visani, E., Medford, N., & Critchley, H. D. (2011). Intra- and extra-cranial effects of transient blood pressure changes on brain near-infrared spectroscopy (NIRS) measurements. Journal of Neuroscience Methods, 197(2), 283–288.

    Article  Google Scholar 

  • Mirelman, A., Maiden, I., Bernad-Elazari, H., Nieuwhof, F., Reelick, M., Giladi, N., & Hausdorff, J. M. (2014). Increased frontal brain activation during walking while dual tasking: An fNIRS study in healthy young adults. Journal of NeuroEngineering and Rehabilitation, 11, 85.

    Google Scholar 

  • Molteni, E., Contini, D., Caffini, M., Baselli, G., Spinelli, L., Cubeddu, R., … Torricelli, A. (2012). Load-dependent brain activation assessed by time-domain functional near-infrared spectroscopy during a working memory task with graded levels of difficulty. Journal of Biomedical Optics, 17(5), 056005.

    Article  Google Scholar 

  • Nishiyori, R. (2016). fNIRS: An emergent method to document functional cortical activity during infant movements. Frontiers in Psychology, 7, 1–11.

    Google Scholar 

  • Oka, N., Yoshino, K., Yamamoto, K., Takahashi, H., Li, S., Sugimachi, T., … Kato, T. (2015). Greater activity in the frontal cortex on left curves: A vector-based fNIRS study of left and right curve driving. PLoS ONE, 10(5), e0127594.

    Article  Google Scholar 

  • Piper, S. K., Krueger, A., Koch, S. P., Mehnert, J., Habermehl, C., Steinbrink, J., … Schmitz, C. H. (2014). A wearable multi-channel fNIRS system for brain imaging in freely moving subjects. NeuroImage, 85, 64–71.

    Article  Google Scholar 

  • Putze, F., Hesslinger, S., Tse, C. Y., Huang, Y., Herff, C., Guan, C., et al. (2014). Hybrid fNIRS-EEG based classification of auditory and visual perception processes. Frontiers in Neuroscience, 8, 373.

    Article  Google Scholar 

  • Rupp, T., & Stephane, P. (2009). A study on the k-convexity of sequences. Global Journal of Pure and Applied Mathematics, 11(1), 311–314.

    Google Scholar 

  • Scholkmann, F., Kleiser, S., Metz, A. J., Zimmermann, R., Mata Pavia, J., Wolf, U., & Wolf, M. (2014). A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology. NeuroImage, 85, 6–27.

    Google Scholar 

  • Scholkmann, F., Metz, A. J., & Wolf, M. (2014b). Measuring tissue hemodynamics and oxygenation by continuous-wave functional near-infrared spectroscopy—How robust are the different calculation methods against movement artifacts? Physiological Measurement, 35(4), 717–734.

    Article  Google Scholar 

  • Shewokis, P. A., Ayaz, H., Curtin, A., Izzetoglu, K., & Onaral, B. (2013). Brain in the loop learning using functional near infrared spectroscopy. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8027 LNAI (pp. 381–389).

    Google Scholar 

  • Solovey, E. T., Schermerhorn, P., Scheutz, M., Sassaroli, A., Fantini, S., & Jacob, R. (2012). Brainput: Enhancing interactive systems with streaming fNIRS brain input. In Proceedings of the 2012 ACM Annual Conference on Human Factors in Computing Systems—CHI ’12 (p. 2193).

    Google Scholar 

  • Spichtig, S., Hornung, R., Brown, D. W., Haensse, D., & Wolf, M. (2009). Multifrequency frequency-domain spectrometer for tissue analysis. Review of Scientific Instruments, 80(2).

    Google Scholar 

  • Stojanovic-Radic, J., Wylie, G., Voelbel, G., Chiaravalloti, N., & DeLuca, J. (2015). Neuroimaging and cognition using functional near infrared spectroscopy (fNIRS) in multiple sclerosis. Brain Imaging and Behavior, 9(2), 302–311.

    Article  Google Scholar 

  • Tachtsidis, I., Leung, T. S., Devoto, L., Delpy, D. T., & Elwell, C. E. (2008). Measurement of frontal lobe functional activation and related systemic effects: A near-infrared spectroscopy investigation. Advances in Experimental Medicine and Biology, 614, 397–403.

    Article  Google Scholar 

  • Torricelli, A., Contini, D., Pifferi, A., Caffini, M., Re, R., Zucchelli, L., & Spinelli, L. (2014). Time domain functional NIRS imaging for human brain mapping. NeuroImage, 85, 28–50.

    Google Scholar 

  • Tsunashima, H., & Yanagisawa, K. (2009). Measurement of brain function of car driver using functional near-infrared spectroscopy (fNIRS). Computational Intelligence and Neuroscience, 2009.

    Google Scholar 

  • Unni, A., Ihme, K., Jipp, M., & Rieger, J. W. (2017). Assessing the driver’s current level of working memory load with high density functional near-infrared spectroscopy: A realistic driving simulator study. Frontiers in Human Neuroscience, 11, 1–14.

    Article  Google Scholar 

  • von LĂĽhmann, A., Herff, C., Heger, D., & Schultz, T. (2015). Toward a wireless open source instrument: Functional near-infrared spectroscopy in mobile neuroergonomics and BCI applications. Frontiers in Human Neuroscience, 9, 617.

    Google Scholar 

  • Wahr, J. A., Tremper, K. K., Samra, S., & Delpy, D. T. (1996). Near-infrared spectroscopy: theory and applications. Journal of Cardiothoracic and Vascular Anesthesia, 10(3), 406–418.

    Google Scholar 

  • Wiggins, I., & Prugniel, P. (1997). Kinematical data on early-type galaxies. III. Astronomy and Astrophysics Supplement Series, 126(3), 519–523.

    Article  Google Scholar 

  • Xu, L., Wang, B., Xu, G., Wang, W., Liu, Z., & Li, Z. (2017). Functional connectivity analysis using fNIRS in healthy subjects during prolonged simulated driving. Neuroscience Letters, 640, 21–28.

    Article  Google Scholar 

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Correspondence to Chang S. Nam .

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Thomas, L., Nam, C.S. (2020). Functional Near-Infrared Spectroscopy (fNIRS) in Neuroergonomics. In: Nam, C. (eds) Neuroergonomics. Cognitive Science and Technology. Springer, Cham. https://doi.org/10.1007/978-3-030-34784-0_4

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