Evaluating brain functioning with NIRS in sports: Cerebral oxygenation and cortical activation are two sides of the same coin
Stéphane Perrey- EuroMov Digital Heath in Motion, Univ Montpellier, IMT Mines Ales, Montpellier, France
Introduction
Neuroergonomics applies state-of-the-art methods and theories from neuroscience to understand how the human brain works in relation to cognitive and/or motor performance in everyday settings (Dehais et al., 2020). It is now well admitted that in ecological settings, near infrared spectroscopy (NIRS) makes possible the monitoring of cerebral oxygenation during the execution of motor tasks. In brief, NIRS is a non-invasive brain imaging method that measures concentration changes in oxygenated ([O2Hb]) and deoxygenated ([HHb]) hemoglobin of the brain, reflecting changes in cerebral perfusion and metabolism (Perrey, 2008). NIRS is a widely recognized method in measuring cerebral hemodynamic responses to multiple stimuli, such as changes in physiological parameters (e.g., blood pressure, oxygen, carbon dioxide) and neuronal activation (Scholkmann et al., 2022).
Brain NIRS studies can be divided into two main categories. Some studies have broadly used NIRS to assess cerebral oxygenation during critical care (Moerman and Wouters, 2010). Within this physiological context, hemoglobin saturation in the microvasculature is usually taken as an index of brain oxygenation. Thus, NIRS can be a clinical and research tool providing several medical and healthcare fields some insights into the hemodynamic response and cerebral oxygenation of the brain. In addition, brain functional activation studies using NIRS have opened the door to a new area of research in cognitive and behavioral neuroscience (Villringer et al., 1993). In this scenario, the NIRS method relies on the vascular response to a stimulus to capture the cortical neuronal activation. Functional NIRS (fNIRS) studies are based on the principle that changes in hemoglobin content and oxygenation are related to the regional cerebral blood flow (rCBF) following neural activity. In the neuroergonomics field, these two categories of studies collecting NIRS signals (i.e., hemodynamic evoked response and tissue oxygen saturation) assess the human brain functioning differently according to the tasks or conditions.
Thus, the NIRS method presents a unique opportunity to measure brain functioning in a continuous, real-time, and nonintrusive manner for multiple neuroergonomics scenarios, as those encountered in sports. Sports is a suitable but insufficiently underlined and undefined applied domain for neuroergonomics.
The first contributions to the field of brain NIRS in exercise and sports science were predominantly visible since the early 2000s, with an emphasis on the description of brain blood flow and oxygenation during exercise under hostile conditions (e.g., altitude in Ide and Secher, 2000; Subudhi et al., 2007) and on the role played by the brain in regulating cardiovascular responses and limitations to maximal exercise (Bhambhani et al., 2007; Dalsgaard and Secher, 2007; Rupp and Perrey, 2008). Three review papers synthesized the effects of whole-body exercise on brain hemodynamics measured by NIRS (Perrey, 2008; Ekkekakis, 2009; Rooks et al., 2011). During this period, only the oxygenation of the prefrontal cortex was the cortical area explored during incremental (Rooks et al., 2011) or supramaximal (Shibuya et al., 2004) cycling exhaustive exercises commonly conducted inside laboratory settings. Nowadays, current wireless and wearable fNIRS monitors that cover the entire brain (e.g., NIRSport, Brite) offer applicable tools in the sport sciences field but longitudinal and cohort studies are still needed to assess their use cases in sports. This opinion article concentrates on the benefits of utilizing brain NIRS for monitoring, i) the cerebral oxygenation status devoted to health issues when facing extreme conditions and trauma in sports, and ii) the induced cortical activation in real sporting situations, especially the mental demand. Behind the two main categories of studies using common NIRS methods, the underpinning principles for revealing either cerebral oxygenation or cortical activity are first recalled while indicating some derived markers. Second, feasibility and practical use of these NIRS-derived markers are presented through current proof-of-concept studies in sports. The technical and methodological details of NIRS are beyond the scope of this opinion but are well-presented elsewhere when movement and sports are concerned (Herold et al., 2017).
NIRS demonstrates cerebral oxygenation
Cerebral oximetry based on NIRS is increasingly used in clinical settings such as during the perioperative period of cardiovascular operations or in neonatal intensive care (Obrig, 2014). As a continuous supply of oxygen is critical to the health of the brain, NIRS is often used to monitor the regional cerebral oxygen saturation (rScO2) of the frontal cortex. Herein, the objective is to identify degraded adjustments in cerebral oxygenation, and then identify countermeasures to reverse cerebral oxygenation responses and thereby prevent any long-term sequels. Global brain oxygenation through rScO2 appears a smart approach that the neuroergonomics field including sports can further benefit from. RScO2, or sometimes called the tissue oxygenation/saturation index depending on the NIRS manufacturer, is defined as the ratio (%) of O2Hb to total hemoglobin (which is the sum of [O2Hb] and [HHb]). The NIR light is absorbed by HHb and O2Hb in both arterial and venous vessels, but rScO2 reflects mainly cerebral venous oxygen saturation (Watzman et al., 2000). Concerning its validation, NIRS-monitored cerebral oxygenation for different oximeters was found in good agreement with oxygen saturation in the jugular vein (Webber, 1996; la Cour et al., 2018). Finally, rScO2 is derived from a spatially-resolved spectroscopy-NIRS system (Wolf et al., 2007). Here, the multi-distance configuration allows the absolute measurement of cerebral oxygenation that can be compared across individuals and over time and is more robust against motion artifacts and less influenced by systemic physiological interferences. One of the main situations of interest for monitoring rScO2 lies on specific physiological conditions that can impair the cerebral perfusion and thus the cerebral autoregulation; being defined as the ability to maintain steady state cerebral perfusion and oxygenation when blood pressure fluctuates (Paulson et al., 1990). Continuous NIRS monitoring of cerebral oxygenation with potential reference values can be considered in several real sporting situations as outlined thereafter. Noteworthy, the (patho)physiological conditions affecting cerebral oxygenation require simultaneous recording of multiple physiological signals evolving during exercise (e.g., blood pressure, heart rate, partial pressure of CO2) in providing an accurate interpretation of the NIRS signals (Scholkmann et al., 2022).
fNIRS demonstrates cortical activation
NIRS also measures cerebral hemodynamic changes due to cortical neuronal activation. The term “activation” has been operationally defined by the focal increase in rCBF for all neuroimaging methods based on the vascular response to a stimulus; a decrease in rCBF being termed “deactivation” (Obrig and Villringer, 2003). The hemodynamic changes with NIRS to assess the functional cortical activation is based on the assumption that a given stimulus (e.g., motor, cognitive) will induce a neuronal response, which in turn, triggers local arterial vasodilation, with an increase in cerebral blood volume and rCBF, a process known as neurovascular coupling (Perrey, 2008). Thus, a cerebral region is considered active when its rCBF increases, producing a canonical hemodynamic response (i.e., increase in [O2Hb] and decrease in [HHb], Obrig et al., 1996). This last decade, there has been an increase in functional activation studies with fNIRS in the sport sciences field (Herold et al., 2017; Perrey and Besson, 2017). One important issue to consider for such functional activation studies is what experimental setup to adopt in order to exhibit the expected hemodynamic response. In general, there are two types of design: block design and event-related design. Block designs are the usual paradigms implemented in fNIRS studies. The duration of the rest period should allow the stimulus-evoked hemodynamic response to build up and return to the baseline level (Franceschini et al., 2003). Block design investigates the pattern of brain activation across one or more blocks alternating resting and task conditions. It often includes more than five trials lasting 20–30 s per condition. Alternately, event-related design investigates brain activation triggered by events occurring in a random order (Schroeter et al., 2002). Event-related design is able to measure changes in brain activity over short and discrete intervals. Hence, this more ecological design allows for detecting transient changes in hemodynamic responses. However, event-related design usually needs an important number of trials in order to enhance the statistical power in detecting a reliable hemodynamic response. Tracking cortical oxygenation is reported in real sporting situations below.
Current use of cerebral NIRS during sports
The ability of NIRS devices to perform real measurements of brain oxygenation can be proper for monitoring the fitness level in individuals at regular time intervals. Recently, Herold et al. (2020) emphasized that brain activity derived from fNIRS measures (e.g., rScO2) could be used as a valuable and promising marker of internal burden (fatigue, stress) during physical exercise. Authors highlighted first thoughts on the practical application of brain-derived parameters to prescribe exercise intensity in endurance sports. To date, it is unclear to what extent NIRS changes are influenced by sport-related factors such as risk of contact exposure and concussion history (Churchill et al., 2017), environment of practice (altitude, acceleration force) and training exertion features.
First, disturbances in cerebral perfusion and oxygenation are major markers for mild traumatic brain injury as encountered in sport-related concussion. After concussion, individuals with persisting symptoms show acute decreased brain oxygenation patterns in frontal cortices when compared to healthy individuals during postural tasks (Helmich et al., 2016). This brain-behavior diagnosis can be appropriate for assessing the return-to-play following concussion. In addition, NIRS is able to monitor the long-term neuropsychological impairments affecting anxiety, problem solving, planning, memory, attention, concentration, and behavior following recurrent concussions in multiple contact sport categories such as boxing, snowboarding, rugby, and football. Measuring the relative changes in O2Hb and HHb in the prefrontal cortex in response to hypercapnia (block design with 5 repeated 20 s breath holds) was found to be a viable biomarker in a cost-effective manner to assess the concussion recovery timeline for up to 14 days (Bishop and Neary, 2018). In the same vein, changes in brain health due to long-term adaptations to a regular exercise regimen are associated with enhanced rCBF and brain activation (Perrey, 2013) but sustained exercise exertion over time may negatively impact brain functioning (Blain et al., 2019). This opens up the feasibility of proposing a follow-up of brain changes (i.e., O2Hb and HHb) using cerebral fNIRS in the study of optimal training load and long-term effects on brain health, along with the early detection of overtraining.
Second, impaired cerebral oxygenation (i.e., imbalance between cerebral oxygen supply and demand) appears during hypoxic and/or acceleration force exposures in sports. Evaluating changes in brain oxygenation under extreme conditions in humans is challenging but needed. Studies reported large changes in brain oxygenation states caused by exposure to multiple and high acceleration forces in pilots during parabolic flight (Schneider et al., 2013), flight missions (Kobayashi and Miyamoto, 2000), and aerobatic flight (Fresnel et al., 2021). The same likely applies to Formula One drivers experiencing 5–6 g while braking and 2–7 g while cornering. The high sensitivity of NIRS signals to acceleration force point out strong variations in the status of cerebral oxygenation, revealing occurrences of short hypoxia or hyperoxia epochs leading potentially to G-induced loss of consciousness and other deleterious symptoms. Further, cognitive processes associated with the best visuo-spatial abilities (i.e., neural efficiency) could be unveiled by fNIRS in the brain of highly skilled aerobatic pilots and Formula One race-car professional drivers. Finally, assessing cortical activation and tracking cerebral oxygenation changes during ascent and stay at high altitude environments may inform both on the neural correlates of cognitive control (Davranche et al., 2016; Champigneulle et al., 2022) and in the pathogenesis of acute mountain sickness (Manferdelli et al., 2021), respectively.
Neuroergonomics is significantly associated with mental demand and fatigue. Studying cognitive demand using brain imaging techniques in uncontrolled environments is typically encountered in sports (Perrey, 2022). Recent pilot studies have carried out, for the first-time, online measurements of hemodynamic response changes with fNIRS during sports-relevant motor behavior (e.g., basketball dribbling skills in Carius et al., 2020) by using a dedicated block design. Here, assessing brain activity during complex movements aims to be a prerequisite for considering brain-behavior relationships and enhancing motor performance. Regarding psychological factors, the fNIRS study of Slutter et al. (2021) showed that the prefrontal cortex and the left temporal cortex were pivotal brain areas in soccer players who were more anxious and missed penalties, supporting evidence for the neural efficiency theory.
Challenges and potentials
To obtain meaningful data in sports, it is important to cope with the influences of artifacts and to develop appropriate signal processing. To date, further efforts need to be performed to face the current methodological limitations when collecting NIRS data with wearable and wireless brain devices (e.g., Brite23) during functional tasks, as suggested in the literature (Herold et al., 2017; Yücel et al., 2021). Regarding fNIRS applications in sports, two main concerns are proposed in order to improve the quality and provide the correct interpretation of the NIRS signals collected during physical exercise. Essentially, movement artifacts should be approached by carefully controlling the experimental environment whenever possible. Importantly, assessing the optode-scalp contact “quality” throughout the exercise duration is thought to be a first priority. Within this context, collecting additional data, such as camera images (Bang et al., 2013) or with an accelerometer (Virtanen et al., 2011) should be considered. It means that the primary objective of an ideal fNIRS cap is to continuously stabilize the optodes over the scalp by identifying an optimal comfort pressure threshold. An inflatable pneumatic/vacuum cap design (Kassab et al., 2015) despite some technological challenges provides interesting and promising solutions to apply into the field of sports. With long-term monitoring, issues pertaining to the effect of sweat and heat on the collected signals are also important ones. Further, video can help to identify key events to time-lock the acquired fNIRS signals in ecological conditions. Recently, Pinti et al. (2017) developed automatic identification of a functional events algorithm to assess the functional brain activation. When exercising, systemic physiological fluctuations (e.g., in heart rate, arterial CO2 concentration, blood pressure, skin perfusion, and more) can interfere significantly with brain NIRS measurements. In addition to removing the influence of systemic physiological changes originating at the more superficial layers of the head by using short-separation channels, a multimodal physiology data monitoring approach synchronized to fNIRS signals (e.g., Strangman et al., 2018) appears as a second priority. All these measurements can be used in signal processing methods to isolate and properly remove the non-neuronal-related functional responses (Yücel et al., 2021; Scholkmann et al., 2022).
Conclusion
NIRS represents an effective brain monitoring modality and has become an emergent ideal tool for studying brain functioning in sport environments. Recent studies in applied physiology and neuroscience show well the applicability of NIRS to investigate brain functioning in various and complex sport-related situations. NIRS provides some viable biomarkers related to cerebral oxygenation and cortical activation for assessing the neurophysiological state of the brain when exercising. The current availability of wearable NIRS systems and their robustness to motion artifacts make them a serious candidate for brain functioning measures on individuals performing cognitive-motor tasks. Hence, the sports domain should guide our future work in the neuroergonomics field.
Author contributions
The author confirms being the sole contributor of this work and has approved it for publication.
Conflict of interest
The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
Bang, J. W., Choi, J. S., and Park, K. R. (2013). Noise reduction in brainwaves by using both EEG signals and frontal viewing camera images. Sensors. 13, 6272–6294. doi: 10.3390/s130506272
Bhambhani, Y., Malik, R., and Mookerjee, S. (2007). Cerebral oxygenation declines at exercise intensities above the respiratory compensation threshold. Respir. Physiol. Neurobiol. 156, 196–202. doi: 10.1016/j.resp.2006.08.009
Bishop, S. A., and Neary, J. P. (2018). Assessing prefrontal cortex oxygenation after sport concussion with near-infrared spectroscopy. Clin. Physiol. Funct. Imaging 38, 573–585. doi: 10.1111/cpf.12447
Blain, B., Schmit, C., Aubry, A., Hausswirth, C., Le Meur, Y., and Pessiglione, M. (2019). Neuro-computational impact of physical training overload on economic decision-making. Curr. Biol. 29, 3289–3297.e4. doi: 10.1016/j.cub.2019.08.054
Carius, D., Seidel-Marzi, O., Kaminski, E., Lisson, N., and Ragert, P. (2020). Characterizing hemodynamic response alterations during basketball dribbling. PLoS ONE. 15, e0238318. doi: 10.1371/journal.pone.0238318
Champigneulle, B., Davranche, K., Brugniaux, J. V., Baillieul, S., Gajdos, T., Doutreleau, S., et al. (2022). Effect of a speed ascent to the top of Europe on cognitive function in elite climbers. Eur. J. Appl. Physiol. 122, 635–649. doi: 10.1007/s00421-021-04855-6
Churchill, N. W., Hutchison, M. G., Di Battista, A. P., Graham, S. J., and Schweizer, T. A. (2017). Structural, functional, and metabolic brain markers differentiate collision versus contact and non-contact athletes. Front. Neurol. 8, 390. doi: 10.3389/fneur.2017.00390
Dalsgaard, M. K., and Secher, N. H. (2007). The brain at work: a cerebral metabolic manifestation of central fatigue? J. Neurosci. Res. 85, 3334–3339. doi: 10.1002/jnr.21274
Davranche, K., Casini, L., Arnal, P. J., Rupp, T., Perrey, S., and Verges, S. (2016). Cognitive functions and cerebral oxygenation changes during acute and prolonged hypoxic exposure. Physiol. Behav. 164(Pt A), 189–197. doi: 10.1016/j.physbeh.2016.06.001
Dehais, F., Karwowski, W., and Ayaz, H. (2020). Brain at work and in everyday life as the next frontier: grand field challenges for neu-roergonomics. Front. Neuroergonomics. 1, 583733. doi: 10.3389/fnrgo.2020.583733
Ekkekakis, P. (2009). Illuminating the black box: investigating prefrontal cortical hemodynamics during exercise with near-infrared spectroscopy. J. Sport Exerc. Psychol. 31, 505–553. doi: 10.1123/jsep.31.4.505
Franceschini, M. A., Fantini, S., Thompson, J. J., Culver, J. P., and Boas, D. A. (2003). Hemodynamic evoked response of the sensorimotor cortex measured non-invasively with near-infrared optical imaging. Psychophysiology. 40, 548–560. doi: 10.1111/1469-8986.00057
Fresnel, E., Dray, G., Pla, S., Jean, P., Belda, G., and Perrey, S. (2021). Cerebral oxygenation responses to aerobatic flight. Aerosp. Med. Hum. Perform. 92, 838–842. doi: 10.3357/AMHP.5896.2021
Helmich, A., Berger, H., and Lausberg, H. (2016). Neural control of posture in individuals with persisting postconcussion symptoms. Med. Sci. Sports Exerc. 48, 2362–2369. doi: 10.1249/MSS.0000000000001028
Herold, F., Gronwald, T., Scholkmann, F., Zohdi, H., Wyser, D., Müller, N. G., et al. (2020). New directions in exercise prescription: is there a role for brain-derived parameters obtained by functional near-infrared spectroscopy? Brain Sci. 10, 342. doi: 10.3390/brainsci10060342
Herold, F., Wiegel, P., Scholkmann, F., Thiers, A., Hamacher, D., and Schega, L. (2017). Functional near-infrared spectroscopy in movement science: a systematic review on cortical activity in postural and walking tasks. Neurophotonics. 4, 041403. doi: 10.1117/1.NPh.4.4.041403
Ide, K., and Secher, N. H. (2000). Cerebral blood flow and metabolism during exercise. Prog. Neurobiol. 61, 397–414. doi: 10.1016/S0301-0082(99)00057-X
Kassab, A., Le Lan, J., Vannasing, P., and Sawan, M. (2015). Functional near-infrared spectroscopy caps for brain activity monitoring: a review. Appl. Opt. 54, 576–586. doi: 10.1364/AO.54.000576
Kobayashi, A., and Miyamoto, Y. (2000). In-flight cerebral oxygen status: continuous monitoring by near-infrared spectroscopy. Aviat. Space Environ. Med. 71, 177–183.
la Cour, A., Greisen, G., and Hyttel-Sorensen, S. (2018). In vivo validation of cerebral near-infrared spectroscopy: a review. Neurophotonics. 5, 040901. doi: 10.1117/1.NPh.5.4.040901
Manferdelli, G., Marzorati, M., Easton, C., and Porcelli, S. (2021). Changes in prefrontal cerebral oxygenation and microvascular blood volume in hypoxia and possible association with acute mountain sickness. Exp. Physiol. 106, 76–85. doi: 10.1113/EP088515
Moerman, A., and Wouters, P. (2010). Near-infrared spectroscopy (NIRS) monitoring in contemporary anesthesia and critical care. Acta Anaesthesiol. Belg. 61, 185–194.
Obrig, H. (2014). NIRS in clinical neurology—a “promising” tool? Neuroimage. 85 Pt 1, 535–546. doi: 10.1016/j.neuroimage.2013.03.045
Obrig, H., Hirth, C., Junge-Hülsing, J. G., Döge, C., Wolf, T., Dirnagl, U., et al. (1996). Cerebral oxygenation changes in response to motor stimulation. J. Appl. Physiol. 81, 1174–1183. doi: 10.1152/jappl.1996.81.3.1174
Obrig, H., and Villringer, A. (2003). Beyond the visible–imaging the human brain with light. J. Cereb. Blood Flow Metab. 23, 1–18. doi: 10.1097/01.WCB.0000043472.45775.29
Paulson, O. B., Strandgaard, S., and Edvinsson, L. (1990). Cerebral autoregulation. Cerebrovasc Brain Metab. Rev. 2, 161–192.
Perrey, S. (2008). Non-invasive NIR spectroscopy of human brain function during exercise. Methods. 45, 289–299. doi: 10.1016/j.ymeth.2008.04.005
Perrey, S. (2013). Promoting motor function by exercising the brain. Brain Sci. 3, 101–122. doi: 10.3390/brainsci3010101
Perrey, S. (2022). Training monitoring in sports: it is time to embrace cognitive demand. Sports (Basel). 10, 56. doi: 10.3390/sports10040056
Perrey, S., and Besson, P. (2017). Studying brain activity in sports performance: contributions and issues. Prog. Brain Res. 240, 247–267. doi: 10.1016/bs.pbr.2018.07.004
Pinti, P., Merla, A., Aichelburg, C., et al. (2017). A novel GLM-based method for the Automatic IDentification of functional Events (AIDE) in fNIRS data recorded in naturalistic environments. Neuroimage 155, 291–304. doi: 10.1016/j.neuroimage.2017.05.001
Rooks, C. R., Thom, N. J., McCully, K. K., and Dishman, R. K. (2011). Effects of incremental exercise on cerebral oxygenation measured by near-infrared spectroscopy: a systematic review. Prog Neurobiol 92, 134–150. doi: 10.1016/j.pneurobio.2010.06.002
Rupp, T., and Perrey, S. (2008). Prefrontal cortex oxygenation and neuromuscular responses to exhaustive exercise. Eur. J. Appl. Physiol. 102, 153–163. doi: 10.1007/s00421-007-0568-7
Schneider, S., Abeln, V., Askew, C. D., Vogt, T., Hoffmann, U., Denise, P., et al. (2013). Changes in cerebral oxygenation during parabolic flight. Eur. J. Appl. Physiol. 113, 1617–1623. doi: 10.1007/s00421-013-2588-9
Scholkmann, F., Tachtsidis, I., Wolf, M., and Wolf, U. (2022). Systemic physiology augmented functional near-infrared spectroscopy: a powerful approach to study the embodied human brain. Neurophotonics. 9, 030801. doi: 10.1117/1.NPh.9.3.030801
Schroeter, M. L., Zysset, S., Kupka, T., Kruggel, F., and Yves von Cramon, D. (2002). Near-infrared spectroscopy can detect brain activity during a color-word matching Stroop task in an event-related design. Hum. Brain Mapp. 17, 61–71. doi: 10.1002/hbm.10052
Shibuya, K., Tanaka, J., Kuboyama, N. S., and Murai, O.gaki, T. (2004). Cerebral cortex during supramaximal exhaustive exercise. J. Sports Med. Phys. Fitness. 44, 215–219.
Slutter, M. W. J., Thammasan, N., and Poel, M. (2021). Exploring the brain activity related to missing penalty kicks: an fNIRS study. Front. Comput. Sci. 3, 661466. doi: 10.3389/fcomp.2021.661466
Strangman, G. E., Ivkovic, V., and Zhang, Q. (2018). Wearable brain imaging with multimodal physiological monitoring. J. Appl. Physiol. 124, 564–572. doi: 10.1152/japplphysiol.00297.2017
Subudhi, A. W., Dimmen, A. C., and Roach, R. C. (2007). Effects of acute hypoxia on cerebral and muscle oxygenation during incremental exercise. J. Appl. Physiol. 103, 177–183. doi: 10.1152/japplphysiol.01460.2006
Villringer, A., Planck, J., Hock, C., Schleinkofer, L., and Dirnagl, U. (1993). Near infrared spectroscopy (NIRS): a new tool to study hemodynamic changes during activation of brain function in human adults. Neurosci. Lett. 154, 101–104. doi: 10.1016/0304-3940(93)90181-J
Virtanen, J., Noponen, T., Kotilahti, K., Virtanen, J., and Ilmoniemi, R. J. (2011). Accelerometer-based method for correcting signal baseline changes caused by motion artifacts in medical near-infrared spectroscopy. J. Biomed. Optics. 16, 087005–087009. doi: 10.1117/1.3606576
Watzman, H. M., Kurth, C. D., Montenegro, L. M., Rome, J., Steven, J. M., and Nicolson, S. C. (2000). Arterial and venous contributions to near-infrared cerebral oximetry. Anesthesiology. 93(4):947–953. doi: 10.1097/00000542-200010000-00012
Webber, S. A. (1996). Cerebral oxygenation measured by near-infrared spectroscopy: comparison with jugular bulb oximetry. Ann. Thorac. Surg. 61, 930–934. doi: 10.1016/0003-4975(95)01186-2
Wolf, M., Ferrari, M., and Quaresima, V. (2007). Progress of near-infrared spectroscopy and topography for brain and muscle clinical applications. J. Biomed. Opt. 12, 062104. doi: 10.1117/1.2804899
Keywords: hemodynamic responses, monitoring, cognitive function, health, physical performance
Citation: Perrey S (2022) Evaluating brain functioning with NIRS in sports: Cerebral oxygenation and cortical activation are two sides of the same coin. Front. Neuroergon. 3:1022924. doi: 10.3389/fnrgo.2022.1022924
Received: 19 August 2022; Accepted: 26 October 2022;
Published: 18 November 2022.
Edited by:
Noman Naseer, Air University, PakistanReviewed by:
Sinem Burcu Erdogan, Acibadem University, TurkeyCopyright © 2022 Perrey. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Stéphane Perrey, stephane.perrey@umontpellier.fr