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Journals / Uluslararası Egzersiz Psikolojisi Dergisi / 2026 / Cilt: 7 Sayı: 1

Applications of Functional Near-Infrared Spectroscopy (fNIRS) in Sport Sciences: A Systematic Review

Spor Bilimlerinde Fonksiyonel Yakın Kızılötesi Spektroskopi (fNIRS) Uygulamaları: Sistematik Derleme

Muhammed Sıddık Çemç(BOĞAZİÇİ ÜNİVERSİTESİ, REKTÖRLÜK, BEDEN EĞİTİMİ VE SPOR BÖLÜMÜ)0000-0001-5442-0869
Özgür Gülen(YALOVA GENÇLİK VE SPOR İL MÜDÜRLÜĞÜ)0000-0002-2305-3098
Pages
9–27
Publication Date
2025-06-30
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In conclusion, fNIRS stands out as an innovative technology in understanding cognitive and neurophysiological processes in sport sciences.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:With advancing technological capabilities, neuroimaging techniques that analyze brain activity play a critical role in optimizing athletes' cognitive and physical performance.
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Key Findings & Data:This systematic review aims to examine the use of fNIRS technology in sport sciences and identify its contributions to evaluating athletes' cognitive performance and neurophysiological responses.
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Conclusion & Impact:In conclusion, fNIRS stands out as an innovative technology in understanding cognitive and neurophysiological processes in sport sciences.
🔬Design:Review & Systematic Survey
📍Scope:2017 Verileri
⚙️Variables:Beyin Aktivasyonu · Bilişsel Performans · Yürütücü İşlev

Abstract

With advancing technological capabilities, neuroimaging techniques that analyze brain activity play a critical role in optimizing athletes' cognitive and physical performance. In this context, functional near-infrared spectroscopy (fNIRS), with its ability to provide real-time measurements, emerges as an innovative tool bridging the fields of sport sciences and neuroscience. This systematic review aims to examine the use of fNIRS technology in sport sciences and identify its contributions to evaluating athletes' cognitive performance and neurophysiological responses. Using the keywords "fNIRS," "sports," and "athletes," a systematic search was conducted in the Web of Science database to identify relevant peer-reviewed articles published between 2017 and 2024. A total of 35 studies were included based on their focus on cognitive performance, executive functions, and neurophysiological outcomes related to exercise or participation in sports. The reviewed studies demonstrate that fNIRS is an effective tool for enhancing cognitive performance, observing neurological adaptations, and understanding the acute and chronic effects of exercise. In conclusion, fNIRS stands out as an innovative technology in understanding cognitive and neurophysiological processes in sport sciences. Its portability and usability under field conditions offer extensive applications for improving athletes' performance and preserving their neurological health. In the future, broader use of this technology in sport sciences—particularly in field-based testing, rehabilitation processes, and assessments involving young or elite athletes—and its integration with other neuroimaging techniques are expected to yield more comprehensive and context-specific findings.

Özet

Gelişen teknolojik imkanlar dahilinde beyin aktivitesini analiz eden nöro-görüntüleme teknikleri, sporcuların bilişsel ve fiziksel performansını optimize etmede kritik bir rol oynamaktadır. Bu bağlamda, gerçek zamanlı ölçümler yapabilme özelliği ile İşlevsel Yakın Kızılötesi Spektroskopi (fNIRS), spor bilimleri ve nörobilim arasındaki köprüyü oluşturan yenilikçi bir araç olarak öne çıkmaktadır. Bu sistematik derlemenin amacı, spor bilimleri alanında fNIRS teknolojisinin kullanımını incelemek ve sporcuların bilişsel performansları ile nörofizyolojik tepkilerini değerlendirmede sağladığı katkıları belirlemektir. Araştırmada, "fNIRS", "sports" ve "athletes" anahtar kelimeleri kullanılarak Web of Science veri tabanında sistematik bir tarama gerçekleştirilmiştir. 2017 ile 2024 yılları arasında yayımlanmış hakemli makaleler arasından, egzersiz ya da spora katılım ile ilişkili bilişsel performans, yürütücü işlevler ve nörofizyolojik çıktılara odaklanan toplam 35 çalışma incelemeye dahil edilmiştir. İncelenen çalışmalar, fNIRS teknolojisinin bilişsel performansı artırma, nörolojik adaptasyonları gözlemleme ve egzersizin akut/kronik etkilerini anlama konularında etkili bir araç olduğunu göstermektedir. Sonuç olarak fNIRS’ın spor bilimlerinde bilişsel ve nöro-fizyolojik süreçlerin anlaşılmasında yenilikçi bir teknoloji olarak kendini gösterdiği, taşınabilirliği ve saha koşullarında kullanılabilirliği ile sporcuların performansını artırmak ve nörolojik sağlıklarını korumak için geniş uygulama alanları sunduğu görülmektedir. Gelecekte, bu teknolojinin spor bilimlerinde (özellikle saha tabanlı testlerde, rehabilitasyon süreçlerinde ve genç veya elit sporcuları içeren değerlendirmelerde) daha geniş kullanımının ve diğer nörogörüntüleme teknikleriyle entegrasyonunun daha kapsamlı ve bağlama özgü bulgular sağlaması beklenmektedir.

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Cite This Article

Çemç, M. S., Gülen, Ö. (2025). Applications of Functional Near-Infrared Spectroscopy (fNIRS) in Sport Sciences: A Systematic Review. Uluslararası Egzersiz Psikolojisi Dergisi, Cilt: 7 Sayı: 1, 9–27. https://doi.org/10.51538/intjourexerpsyc.1677927

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References (70)

  1. Adorni, R., Gatti, A., Brugnera, A., Sakatani, K., & Compare, A. (2016). Could fNIRS promote neuroscience approach in clinical psychology?. Frontiers in Psychology, 7,1-4. https://doi.org/10.3389/fpsyg.2016.00456
  2. 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. https://doi.org/10.3389/fnhum.2013.00871
  3. 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), 1-5. https://doi.org/10.1016/j.neuroimage.2013.11.033
  4. Bozkurt, A., & Onaral, B. (2004). Safety assessment of near infrared light emitting diodes for diffuse optical measurements. BioMedical Engineering OnLine, 3;1-10. https://doi.org/10.1186/1475-925X-3-9
  5. Brazy, J. F., Lewis, D. V., Mitnick, M. H., & Jöbsis, F. F. (1985). Noninvasive monitoring of cerebral oxygenation in preterm infants: Preliminary observations. Pediatrics, 75, 217-225.
  6. Byun, K., Hyodo, K., Suwabe, K., Fukuie, T., Soya, H. (2016). Possible neurophysiological mechanisms for mild-exercise-enhanced executive function: An fNIRS neuroimaging study. The Journal of Physical Fitness and Sports Medicine, 5, 361-367. https://doi.org/10.7600/jpfsm.5.361
  7. Carius, D., Herold, F., Clauß, M., Kaminski, E., Wagemann, F., Sterl, C., & Ragert, P. (2023). Increased cortical activity in novices compared to experts during table tennis: A whole-brain fNIRS study using threshold-free cluster enhancement analysis. Brain Topography, 36(4), 500–516. https://doi.org/10.1007/s10548-023-00963-y
  8. Carius, D., Hörnig, L., Ragert, P., & Kaminski, E. (2020). Characterizing cortical hemodynamic changes during climbing and its relation to climbing expertise. Neuroscience Letters, 715, 134604. https://doi.org/10.1016/j.neulet.2019.134604
  9. Chance, B. (1991). Optical method. Annual Review of Biophysics and Biophysical Chemistry, 20,1-28. https://doi.org/10.1146/annurev.bb.20.060191.000245
  10. Chang, H., Kim, K., Jung, Y. J., & Kato, M. (2017). Effects of acute high-intensity resistance exercise on cognitive function and oxygenation in prefrontal cortex. Journal of Exercise Nutrition & Biochemistry, 21(2), 1–8. https://doi.org/10.20463/jenb.2017.0012
  11. 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 and Biological Engineering and Computing, 26, 289-294. https://doi.org/10.1007/BF02447083
  12. Delpy, D. T., Cope, M., van der Zee, P., Arridge, S., Wray, S., & Wyatt, J. S. (1988). Estimation of optical pathlength through tissue from direct time of flight measurement. Physics in Medicine & Biology, 33(12), 1433. https://doi.org/10.1088/0031-9155/33/12/008
  13. Dror, O. E. (2001). Techniques of the brain and the paradox of emotions, 1880–1930. Science in Context, 14(4), 643-660. https://doi.org/10.1017/S026988970100028X
  14. Duman, B. (2019). Sağlıklı bireylerde karar verme süreçlerinde etkili olan kortikal aktivite paternlerinin fNIRS ile değerlendirilmesi [Yayımlanmamış doktora tezi]. Ankara Üniversitesi
  15. Ferrari, M., & Quaresima, V. (2012). A brief review on the history of human functional near-infrared spectroscopy (fNIRS) development and fields of application. NeuroImage, 63(2), 921-935. https://doi.org/10.1016/j.neuroimage.2012.03.049
  16. Ferrari, M., Giannini, I., Sideri, G., & Zanette, E. (1985). Continuous non invasive monitoring of human brain by near infrared spectroscopy. In Oxygen transport to tissue VII (pp. 873-882). Springer US. https://doi.org/10.1007/978-1-4684-3291-6_88
  17. Gao, Q., & Zhang, L. (2023). Brief mindfulness meditation intervention improves attentional control of athletes in virtual reality shooting competition: Evidence from fNIRS and eye tracking. Psychology of Sport and Exercise, 69, 102477. https://doi.org/10.1016/j.psychsport.2023.102477
  18. Giles, G. E., Eddy, M. D., Brunyé, T. T., Urry, H. L., Graber, H. L., Barbour, R. L., Mahoney, C. R., Taylor, H. A., & Kanarek, R. B. (2018). Endurance exercise enhances emotional valence and emotion regulation. Frontiers in Human Neuroscience, 12, 398. https://doi.org/10.3389/fnhum.2018.00398
  19. Grijalva, C., Hale, D., Wu, L., Toosizadeh, N., & Laksari, K. (2023). Hyper-acute effects of sub-concussive soccer headers on brain function and hemodynamics. Frontiers in Human Neuroscience, 17, 1191284. https://doi.org/10.3389/fnhum.2023.1191284
  20. Helmich, I., Coenen, J., Henckert, S., Pardalis, E., Schupp, S., & Lausberg, H. (2020). Reduced frontopolar brain activation characterizes concussed athletes with balance deficits. NeuroImage. Clinical, 25, 102164. https://doi.org/10.1016/j.nicl.2020.102164
  21. Hoshi, Y. O. K. O., & Tamura, M. A. M. O. R. U. (1993). Dynamic multichannel near-infrared optical imaging of human brain activity. Journal of Applied Physiology, 75(4), 1842-1846. https://doi.org/10.1152/jappl.1993.75.4.1842
  22. Jain, D., Huber, C. M., Patton, D. A., McDonald, C. C., Wang, L., Ayaz, H.,. & Arbogast, K. B. (2023). Use of functional near-infrared spectroscopy to quantify neurophysiological deficits after repetitive head impacts in adolescent athletes. Sports Biomechanics, 1-15. https://doi.org/10.1080/14763141.2023.2229790
  23. Jöbsis, F. F. (1977). Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters. Science, 198(4323), 1264-1267. https://doi.org/10.1126/science.929199
  24. Jobsis-vander Vliet, F. F. (1999). Discovery of the near-infrared window into the body and the early development of near-infrared spectroscopy. Journal of Biomedical Optics, 4(4), 392-396. https://doi.org/10.1117/1.429952
  25. Kenville, R., Maudrich, T., Carius, D., & Ragert, P. (2017). Hemodynamic response alterations in sensorimotor areas as a function of barbell load levels during squatting: An fNIRS study. Frontiers in Human Neuroscience, 11, 241. https://doi.org/10.3389/fnhum.2017.00241
  26. Kleinschmidt, A., Obrig, H., Requardt, M., Merboldt, K. D., Dirnagl, U., Villringer, A., & Frahm, J. (1996). Simultaneous recording of cerebral blood oxygenation changes during human brain activation by magnetic resonance imaging and near-infrared spectroscopy. Journal of Cerebral Blood Flow & Metabolism, 16(5), 817-826. https://doi.org/10.1097/00004647-199609000-00006
  27. Köyağasıoğlu, O., Özgürbüz, C., Bediz, C. Ş., Güdücü, Ç., Aydınoğlu, R., & Akşit, T. (2022). The Effects of virtual reality nonphysical mental training on balance skills and functional near-ınfrared spectroscopy activity in healthy adults. Journal of Sport Rehabilitation, 31(4), 428–441. https://doi.org/10.1123/jsr.2021-0197
  28. Kumar, V., Shivakumar, V., Chhabra, H., & Bose, A., Venkatasubramanian, G., Gangadhar, B. N. (2017). Functional near infra-red spectroscopy (fNIRS) in schizophrenia: A review. Asian Journal of Psychiatry, 27, 18–31. https://doi.org/10.1016/j.ajp.2017.02.009
  29. Lai, Z., Huang, W., Lin, W., Weng, X., Mao, Y., & Xu, G. (2023). A single 1,500 m freestyle at maximal speed decreases cognitive function in athletes. Frontiers in Psychology, 14, 1283585. https://doi.org/10.3389/fpsyg.2023.1283585
  30. Li, H., Zhang, L., Wang, J., Liu, J., & Sun, Y. (2022). Executive control of freestyle skiing aerials athletes in different training conditions. Frontiers in Psychology, 13, 968651. https://doi.org/10.3389/fpsyg.2022.968651
  31. Li, W., Zhang, Q., Yang, R., Liu, B., Chen, G., Wang, B., Xu, T., Chen, J., Zhou, X., & Wen, S. (2023). Characteristics of resting state functional connectivity of motor cortex of high fitness level college students: Experimental evidence from functional near infrared spectroscopy (fNIRS). Brain and Behavior, 13(7), e3099. https://doi.org/10.1002/brb3.3099
  32. Liu, J., Liu, Y., & Wu, L. (2024). Exploring the dynamics of prefrontal cortex in the interaction between orienteering experience and cognitive performance by fNIRS. Scientific Reports, 14(1), 14918. https://doi.org/10.1038/s41598-024-65747-1
  33. Liu, Y., Lu, S., Liu, J., Zhao, M., Chao, Y., & Kang, P. (2022). A characterization of brain area activation in orienteers with different map-recognition memory ability task levels-based on fNIRS evidence. Brain Sciences, 12(11), 1561. https://doi.org/10.3390/brainsci12111561
  34. Lucas, S. J., Cotter, J. D., Brassard, P., & Bailey, D. M. (2015). High-intensity interval exercise and cerebrovascular health: curiosity, cause, and consequence. Journal of Cerebral Blood Flow and Metabolism, 35(6), 902–911. https://doi.org/10.1038/jcbfm.2015.49
  35. Mancı, E., Deniz, O. C., Guducu, C., Gunay, E., & Bediz, C. S. (2021). Hemodynamic changes in athletes' brains: is there any adaptation?. General Physiology and Biophysics, 40(5), 387–396. https://doi.org/10.4149/gpb_2021027
  36. Mandolesi, L., Polverino, A., Montuori, S., Foti, F., Ferraioli, G., Sorrentino, P., & Sorrentino, G. (2018). Effects of physical exercise on cognitive functioning and wellbeing: Biological and psychological benefits. Frontiers in Psychology, 9, 509. https://doi.org/10.3389/fpsyg.2018.00509
  37. Monroe, D. C., Gist, N. H., Freese, E. C., O'Connor, P. J., McCully, K. K., & Dishman, R. K. (2016). Effects of sprint interval cycling on fatigue, energy, and cerebral oxygenation. Medicine and Science in Sports and Exercise, 48(4), 615–624. https://doi.org/10.1249/MSS.0000000000000809
  38. Moriarty, T., Johnson, A., Thomas, M., Evers, C., Auten, A., Cavey, K., Dorman, K., & Bourbeau, K. (2022). Acute aerobic exercise-induced motor priming improves piano performance and alters motor cortex activation. Frontiers in Psychology, 13, 825322. https://doi.org/10.3389/fpsyg.2022.825322
  39. Naseer, N., & Hong, K. S. (2015). fNIRS-based brain-computer interfaces: a review. Frontiers in Human Neuroscience, 9, 3. https://doi.org/10.3389/fnhum.2015.00003
  40. Obrig, H. (2014). NIRS in clinical neurology—a ‘promising’tool?. Neuroimage, 85, 535-546. https://doi.org/10.1016/j.neuroimage.2013.03.045
  41. Özgören, M. (2008). Beyin biyofiziği. Edt: Sirel Karakaş. Kognitif Nörobilimler, MN Medikal & Nobel Tıp Kitap Sarayı.
  42. Park, I., Kim, Y., & Kim, S. K. (2020). Athlete-specific neural strategies under pressure: A fNIRS pilot study. International Journal of Environmental Research and Public Health, 17(22), 8464. https://doi.org/10.3390/ijerph17228464
  43. Reynolds, E. O. R., Wyatt, J. S., Azzopardi, D., Delpy, D. T., Cady, E. B., Cope, M., & Wray, S. (1988). New non-invasive methods for assessing brain oxygenation and haemodynamics. British Medical Bulletin, 44(4), 1052-1075. https://doi.org/10.1093/oxfordjournals.bmb.a072289
  44. Sassaroli, A., & Fantini, S. (2004). Comment on the modified Beer-Lambert law for scattering media. Physics in Medicine and Biology, 49(14), 255–257. https://doi.org/10.1088/0031-9155/49/14/n07
  45. Sathe, A., Shenoy, S., & Khandekar Sathe, P. (2024). Observation of cerebral cortex activation during static balance task in sporting and non-sporting individuals: A cross sectional fNIRS study. Journal of Bodywork and Movement Therapies. 40. 300-306. https://doi.org/10.1016/j.jbmt.2024.04.012
  46. Schmaderer, L. F., Meyer, M., Reer, R., & Schumacher, N. (2023). What happens in the prefrontal cortex? Cognitive processing of novel and familiar stimuli in soccer: An exploratory fNIRS study. European Journal of Jport Jcience, 23(12), 2389–2399. https://doi.org/10.1080/17461391.2023.2238699
  47. Seidel, O., Carius, D., Roediger, J., Rumpf, S., & Ragert, P. (2019). Changes in neurovascular coupling during cycling exercise measured by multi-distance fNIRS: a comparison between endurance athletes and physically active controls. Experimental Brain Research, 237(11), 2957–2972. https://doi.org/10.1007/s00221-019-05646-4
  48. Seidel-Marzi, O., Hähner, S., Ragert, P., & Carius, D. (2021). Task-Related hemodynamic response alterations during slacklining: An fNIRS study in advanced slackliners. Frontiers in Neuroergonomics, 2, 644490. https://doi.org/10.3389/fnrgo.2021.644490
  49. Shao, X., He, L., Liu, Y., & Fu, Y. (2023). The effect of acute high-intensity interval training and Tabata training on inhibitory control and cortical activation in young adults. Frontiers in Neuroscience, 17, 1229307. https://doi.org/10.3389/fnins.2023.1229307
  50. Sharma, A., Hind, K., Hume, P., Singh, J., & Neary, J. P. (2020). Neurovascular coupling by functional near ınfra-red spectroscopy and sport-related concussion in retired rugby players: The UK rugby health project. Frontiers in Human Neuroscience, 14, 42. https://doi.org/10.3389/fnhum.2020.00042
  51. Slutter, M., Thammasan, N., Poel, M. (2021). Exploring the brain activity related to missing penalty kicks: An fNIRS study. Frontiers in Computer Science. 3. 661466. https://doi.org/10.3389/fcomp.2021.661466
  52. Smith, K. J., & Ainslie, P. N. (2017). Regulation of cerebral blood flow and metabolism during exercise. Experimental Physiology, 102(11), 1356–1371. https://doi.org/10.1113/EP086249
  53. Song, Y. T., Xiang, M. Q., & Zhong, P. (2024). Differences in brain activation during working memory tasks between badminton athletes and non-athletes: An fNIRS study. Brain and Cognition, 175, 106133. https://doi.org/10.1016/j.bandc.2024.106133
  54. Strangman, G., Boas, D. A., & Sutton, J. P. (2002). Non-invasive neuroimaging using near-infrared light. Biological Psychiatry, 52(7), 679-693. https://doi.org/10.1016/s0006-3223(02)01550-0
  55. Sun, F., Siu, A. Y., Wang, K., Zhang, B., Chan, M. H., Chan, K. H., Kong, P. S., Man, K. Y., & Chow, G. C. (2022). Effects of caffeine on performances of simulated match, wingate anaerobic test, and cognitive function test of elite taekwondo athletes in Hong Kong. Nutrients, 14(16), 3398. https://doi.org/10.3390/nu14163398
  56. Tam, N. D., & Zouridakis, G. (2014). Temporal decoupling of oxy- and deoxy-hemoglobin hemodynamic responses detected by functional near-infrared spectroscopy (fNIRS). British Journal of Healthcare and Medical Research, 1(2). https://doi.org/10.14738/jbemi.12.146
  57. Tetik, M. (2012). Beyin işlevsel yakın kızılötesi ölçümünü etkileyen etmenlerin değerlendirilmesi [Yayımlanmamış yüksek lisans tezi]. Dokuz Eylül Üniversitesi.
  58. Thompson, T., Steffert, T., Ros, T., Leach, J., & Gruzelier, J. (2008). EEG applications for sport and performance. Methods, 45(4), 279-288. https://doi.org/10.1016/j.ymeth.2008.07.006
  59. Trbovich, A., Sparto, P., Huppert, T., Elbin, R. J., Kissinger-Knox, A., Charek, D., Collins, M., Kontos, A. (2023). Changes in brain activation measured by functional Near-Infrared Spectroscopy associated with continuing to play following sport-related concussion among adolescent athletes. Neuropsychological Trends, 34, 39-58. http://dx.doi.org/10.7358/neur-2023-034-trbo
  60. Wang, H., Cong, Y., Zhao, W., Li, X., & Li, L. (2023). A study of trust behavior and its neural basis in athletes under long-term exercise training. Neuroscience Letters, 805, 137218. https://doi.org/10.1016/j.neulet.2023.137218
  61. Wang, S., & Lu, S. (2022). Brain functional connectivity in the resting state and the exercise state in elite tai chi Chuan athletes: An fNIRS study. Frontiers in Human Neuroscience, 16, 913108. https://doi.org/10.3389/fnhum.2022.913108
  62. Wolff, W., Thürmer, J. L., Stadler, K. M., Schüler, J. (2019). Ready, set, go: Cortical hemodynamics during self-controlled sprint starts. Psychology of Sport and Exercise. 41, 21-28 https://doi.org/10.1016/j.psychsport.2018.11.002
  63. Xiang, M., Li, G., Ye, J., Wu, M., Xu, R., & Hu, M. (2023). Effects of combined physical and cognitive training on executive function of adolescent shooting athletes: A functional near-infrared spectroscopy study. Sports Medicine and Health Science, 5(3), 220–228. https://doi.org/10.1016/j.smhs.2023.02.004
  64. Xu, G., Li, X., Li, D., & Liu, X. (2014). A DAQ‐Device‐Based continuous wave near‐ınfrared spectroscopy system for measuring human functional brain activity. Computational and Mathematical Methods in Medicine, 2014(1), 107320. https://doi.org/10.1155/2014/107320
  65. Yu, M., & Liu, Y. (2021). Differences in executive function of the attention network between athletes from interceptive and strategic sports. Journal of Motor Behavior, 53(4), 419–430. https://doi.org/10.1080/00222895.2020.1790486
  66. Yu, M., Xu, S., Hu, H., Li, S., & Yang, G. (2023). Differences in right hemisphere fNIRS activation associated with executive network during performance of the lateralized attention network tast by elite, expert and novice ice hockey athletes. Behavioural Brain Research, 443, 114209. https://doi.org/10.1016/j.bbr.2022.114209
  67. Zhang, Q., Zhang, P., Song, L., Yang, Y., Yuan, S., Chen, Y., Sun, S., & Bai, X. (2019). Brain activation of elite race walkers in action observation, motor ımagery, and motor execution tasks: A pilot study. Frontiers in Human Neuroscience, 13, 80. https://doi.org/10.3389/fnhum.2019.00080
  68. Zhu, Y., Sun, F., Li, C., Huang, J., Hu, M., Wang, K., He, S., & Wu, J. (2022). Acute effects of mindfulness-based intervention on athlete cognitive function: An fNIRS investigation. Journal of Exercise Science and Fitness, 20(2), 90–99. https://doi.org/10.1016/j.jesf.2022.01.003
  69. Jain, D., Huber, C. M., Patton, D. A., McDonald, C. C., Wang, L., Ayaz, H.,. & Arbogast, K. B. (2023). Use of functional near-infrared spectroscopy to quantify neurophysiological deficits after repetitive head impacts in adolescent athletes. Sports Biomechanics, 1-15. https://doi.org/10.1080/14763141.2023.2229790
  70. Reynolds, E. O. R., Wyatt, J. S., Azzopardi, D., Delpy, D. T., Cady, E. B., Cope, M., & Wray, S. (1988). New non-invasive methods for assessing brain oxygenation and haemodynamics. British Medical Bulletin, 44(4), 1052-1075. https://doi.org/10.1093/oxfordjournals.bmb.a072289