Arsintescu, L., Mulligan, J. B., & Flynn-Evans, E. E. (2017). Evaluation of a Psychomotor Vigilance Task for Touch Screen Devices. Human Factors, 59(4), 661–670.
Balardin, J. B., Zimeo Morais, G. A., Furucho, R. A., Trambaiolli, L., Vanzella, P., Biazoli, C., Jr, & Sato, J. R. (2017). Imaging Brain Function with Functional Near-Infrared Spectroscopy in Unconstrained Environments. Frontiers in Human Neuroscience, 11, 258.
Bogler, C., Mehnert, J., Steinbrink, J., & Haynes, J.-D. (2014). Decoding vigilance with NIRS. PloS One, 9(7), e101729.
Borragán, G., Guerrero-Mosquera, C., Guillaume, C., Slama, H., & Peigneux, P. (2019). Decreased prefrontal connectivity parallels cognitive fatigue-related performance decline after sleep deprivation. An optical imaging study. Biological Psychology, 144, 115–124.
Brockington, G., Balardin, J. B., Zimeo Morais, G. A., Malheiros, A., Lent, R., Moura, L. M., & Sato, J. R. (2018). From the Laboratory to the Classroom: The Potential of Functional Near-Infrared Spectroscopy in Educational Neuroscience. Frontiers in Psychology, 9, 1840.
Brown, H., Friston, K., & Bestmann, S. (2011). Active inference, attention, and motor preparation. Frontiers in Psychology, 2, 218.
Brunia, C. H. (1993). Waiting in readiness: gating in attention and motor preparation. Psychophysiology, 30(4), 327–339.
Carlisi, C. O., Norman, L., Murphy, C. M., Christakou, A., Chantiluke, K., Giampietro, V., Simmons, A., Brammer, M., Murphy, D. G., MRC AIMS Consortium, Mataix-Cols, D., & Rubia, K. (2017). Disorder-Specific and Shared Brain Abnormalities During Vigilance in Autism and Obsessive-Compulsive Disorder. Biological Psychiatry. Cognitive Neuroscience and Neuroimaging, 2(8), 644–654.
Cope, M., & Delpy, D. T. (1988). System for long-term measurement of cerebral blood and tissue oxygenation on newborn infants by near infra-red transillumination. Medical & Biological Engineering & Computing, 26(3), 289–294.
Coste, C. P., Sadaghiani, S., Friston, K. J., & Kleinschmidt, A. (2011). Ongoing Brain Activity Fluctuations Directly Account for Intertrial and Indirectly for Intersubject Variability in Stroop Task Performance. In Cerebral Cortex (Vol. 21, Issue 11, pp. 2612–2619). https://doi.org/10.1093/cercor/bhr050
Deco, G., Cruzat, J., Cabral, J., Tagliazucchi, E., Laufs, H., Logothetis, N. K., & Kringelbach, M. L. (2019). Awakening: Predicting external stimulation to force transitions between different brain states. Proceedings of the National Academy of Sciences of the United States of America, 116(36), 18088–18097.
Dinges, D. F., & Powell, J. W. (1985). Microcomputer analyses of performance on a portable, simple visual RT task during sustained operations. In Behavior Research Methods, Instruments, & Computers (Vol. 17, Issue 6, pp. 652–655). https://doi.org/10.3758/bf03200977
Dosenbach, N. U. F., Fair, D. A., Miezin, F. M., Cohen, A. L., Wenger, K. K., Dosenbach, R. A. T., Fox, M. D., Snyder, A. Z., Vincent, J. L., Raichle, M. E., Schlaggar, B. L., & Petersen, S. E. (2007). Distinct brain networks for adaptive and stable task control in humans. Proceedings of the National Academy of Sciences of the United States of America, 104(26), 11073–11078.
Drummond, S. P. A., Bischoff-Grethe, A., Dinges, D. F., Ayalon, L., Mednick, S. C., & Meloy, M. J. (2005). The neural basis of the psychomotor vigilance task. Sleep, 28(9), 1059–1068.
Fortenbaugh, F. C., DeGutis, J., & Esterman, M. (2017). Recent theoretical, neural, and clinical advances in sustained attention research. Annals of the New York Academy of Sciences, 1396(1), 70–91.
Hall, R. W., Huitt, T. W., Thapa, R., Williams, D. K., Anand, K. J. S., & Garcia-Rill, E. (2008). Long-term deficits of preterm birth: evidence for arousal and attentional disturbances. Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology, 119(6), 1281–1291.
Harrivel, A. R., Weissman, D. H., Noll, D. C., & Peltier, S. J. (2013). Monitoring attentional state with fNIRS. Frontiers in Human Neuroscience, 7, 861.
Hinds, O., Thompson, T. W., Ghosh, S., Yoo, J. J., Whitfield-Gabrieli, S., Triantafyllou, C., & Gabrieli, J. D. E. (2013). Roles of default-mode network and supplementary motor area in human vigilance performance: evidence from real-time fMRI. Journal of Neurophysiology, 109(5), 1250–1258.
Hiroyasu, T., Fukushima, A., & Yokouchi, H. (2012). Differences in blood flow between auditory and visual stimuli in the Psychomotor Vigilance Task and GO/NOGO Task. Conference Proceedings: ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 2012, 1466–1469.
Hosomi, F., Yanagi, M., Kawakubo, Y., Tsujii, N., Ozaki, S., & Shirakawa, O. (2019). Capturing spontaneous activity in the medial prefrontal cortex using near-infrared spectroscopy and its application to schizophrenia. Scientific Reports, 9(1), 5283.
Hsu, Y.-F. (2005). On measuring the minimum detection time: a simple reaction time study in the time estimation paradigm. The British Journal of Mathematical and Statistical Psychology, 58(Pt 2), 259–284.
Huppert, T. J., Diamond, S. G., Franceschini, M. A., & Boas, D. A. (2009). HomER: a review of time-series analysis methods for near-infrared spectroscopy of the brain. Applied Optics, 48(10), D280–D298.
Jaipurkar, R., Mahapatra, S. S., Bobdey, S., & Banerji, C. (2019). Work-rest pattern, alertness and performance assessment among naval personnel deployed at sea: A cross sectional study. Armed Forces Medical Journal, India, 75(2), 158–163.
Khitrov, M. Y., Laxminarayan, S., Thorsley, D., Ramakrishnan, S., Rajaraman, S., Wesensten, N. J., & Reifman, J. (2014). PC-PVT: a platform for psychomotor vigilance task testing, analysis, and prediction. Behavior Research Methods, 46(1), 140–147.
Klem, G. H., Lüders, H. O., Jasper, H. H., & Elger, C. (1999). The ten-twenty electrode system of the International Federation. The International Federation of Clinical Neurophysiology. Electroencephalography and Clinical Neurophysiology. Supplement, 52, 3–6.
Langner, R., & Eickhoff, S. B. (2013). Sustaining attention to simple tasks: A meta-analytic review of the neural mechanisms of vigilant attention. In Psychological Bulletin (Vol. 139, Issue 4, pp. 870–900). https://doi.org/10.1037/a0030694
Lawrence, N. S., Ross, T. J., Hoffmann, R., Garavan, H., & Stein, E. A. (2003). Multiple neuronal networks mediate sustained attention. Journal of Cognitive Neuroscience, 15(7), 1028–1038.
Len-Carrin, J., & Len-Domnguez, U. (2012). Functional Near-Infrared Spectroscopy (fNIRS): Principles and Neuroscientific Applications. In Neuroimaging - Methods. https://doi.org/10.5772/23146
McHill, A. W., & Wright, K. P., Jr. (2019). Cognitive Impairments during the Transition to Working at Night and on Subsequent Night Shifts. Journal of Biological Rhythms, 34(4), 432–446.
Morais, G. A. Z., Balardin, J. B., & Sato, J. R. (2018). fNIRS Optodes’ Location Decider (fOLD): a toolbox for probe arrangement guided by brain regions-of-interest. In Scientific Reports (Vol. 8, Issue 1). https://doi.org/10.1038/s41598-018-21716-z
Nogueira, Mateus (2021), “PVT_fNIRS_UFABC_01”, Mendeley Data, V1, doi: 10.17632/3xg8c9yfg6.1
Nordin, L. E., Möller, M. C., Julin, P., Bartfai, A., Hashim, F., & Li, T.-Q. (2016). Post mTBI fatigue is associated with abnormal brain functional connectivity. In Scientific Reports (Vol. 6, Issue 1). https://doi.org/10.1038/srep21183
Nozawa, T., Sugiura, M., Yokoyama, R., Ihara, M., Kotozaki, Y., Miyauchi, C. M., Kanno, A., & Kawashima, R. (2014). Ongoing activity in temporally coherent networks predicts intra-subject fluctuation of response time to sporadic executive control demands. PloS One, 9(6), e99166.
Oken, B. S., Salinsky, M. C., & Elsas, S. M. (2006). Vigilance, alertness, or sustained attention: physiological basis and measurement. Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology, 117(9), 1885–1901.
Pinti, P., Tachtsidis, I., Hamilton, A., Hirsch, J., Aichelburg, C., Gilbert, S., & Burgess, P. W. (2020). The present and future use of functional near-infrared spectroscopy (fNIRS) for cognitive neuroscience. Annals of the New York Academy of Sciences, 1464(1), 5–29.
Ponce-Alvarez, A., Mochol, G., Hermoso-Mendizabal, A., de la Rocha, J., & Deco, G. (n.d.). Cortical state transitions and stimulus response evolve along stiff and sloppy parameter dimensions, respectively. https://doi.org/10.1101/839365
Raichle, M. E., & Snyder, A. Z. (2007). A default mode of brain function: A brief history of an evolving idea. In NeuroImage (Vol. 37, Issue 4, pp. 1083–1090). https://doi.org/10.1016/j.neuroimage.2007.02.041
Rodrigues, J. de S., de Souza Rodrigues, J., Ribeiro, F. L., Sato, J. R., Mesquita, R. C., & Júnior, C. E. B. (2019). Identifying individuals using fNIRS-based cortical connectomes. In Biomedical Optics Express (Vol. 10, Issue 6, p. 2889). https://doi.org/10.1364/boe.10.002889
Sturm, W., & Willmes, K. (2001). On the functional neuroanatomy of intrinsic and phasic alertness. NeuroImage, 14(1 Pt 2), S76–S84.
Yu, C., & Smith, L. B. (2016). The Social Origins of Sustained Attention in One-Year-Old Human Infants. Current Biology: CB, 26(9), 1235–1240.