Brain activity and motor performance under different focus of attention in shooting of elite archer An fNIRS study
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Abstract
The correlation between different focuses of attention (FOAs) and performance in archery had been insufficiently explored. This study aimed to investigate brain activity under different FOAs, quantify the relationship between FOA and arrow scores in shooting. Sixteen elite archers were recruited to participate in this study. A 48-channel portable fNIRS device was used to collect hemodynamic signals in an outdoor environment. Each archer shot five arrows at a target placed 70 meters away. The results showed that motor performance at external and internal focus are not reach the statistical difference (t = 0.527, p = .606, Cohen’s d = 0.117). compared to IF, EF have lesser ΔHbO in channel 14 (t = -2.218, p = .044, Cohen’s d = 0.640), channel 30 (t = -2.306, p = .042, Cohen’s d = 0.598) and channel 42 (t = -3.506, p = .005, Cohen’s d = 1.012), but have greater ΔHbO in channel 37 (t = 2.638, p = .023, Cohen’s d = 0.762), channel 38 (t = 2.631, p = .023, Cohen’s d = 0.759). Additionally, compared to IF, EF have greater neural efficiency in channel 28 (p = .026). Compared to IF, EF enhanced activity in the visual cortex, particularly in V2 and V3, while decreasing activity in M1, S1, PMC, and SMA. Additionally, EF demonstrated greater neural efficiency in PMC and SMA. However, under IF, archers allocated additional resources to PMC and SMA to maintain performance levels comparable to those under EF.
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References
Ahmad, Z., Taha, Z., Hassan, M. H. A., Hisham, M. A., Johari, N. H., & Kadirgama, K. (2014). Biomechanics measurements in archery. Journal of Mechanical Engineering and Sciences, 6, 762-771. https://doi.org/10.15282/jmes.6.2014.4.0074
Behan, M., & Wilson, M. (2008). State anxiety and visual attention: The role of the quiet eye period in aiming to a far target. Journal of Sports Sciences, 26(2), 207-215. https://doi.org/10.1080/02640410701446919
Bell, J. J., & Hardy, J. (2009). Effects of attentional focus on skilled performance in golf. Journal of applied sport psychology, 21(2), 163-177. https://doi.org/10.1080/10413200902795323
Callan, D. E., & Naito, E. (2014). Neural processes distinguishing elite from expert and novice athletes. Cognitive and Behavioral Neurology, 27(4), 183-188. https://doi.org/10.1097/WNN.0000000000000043
Chang, Y., Lee, J. J., Seo, J. H., Song, H. J., Kim, Y. T., Lee, H. J., Kim, H. J., Lee, J., Kim, W., & Woo, M. (2011). Neural correlates of motor imagery for elite archers. NMR in Biomedicine, 24(4), 366-372. https://doi.org/10.1002/nbm.1600
Chen, M., Pillemer, S., England, S., Izzetoglu, M., Mahoney, J. R., & Holtzer, R. (2017). Neural correlates of obstacle negotiation in older adults: an fNIRS study. Gait & Posture, 58, 130-135. https://doi.org/10.1016/j.gaitpost.2017.07.043
Chow, J. Y., Davids, K., Button, C., Rein, R., Hristovski, R., & Koh, M. M. T. H. (2009). Dynamics of multi-articular coordination in neurobiological systems. Nonlinear Dynamics Psychology and Life Sciences.
Chuang, L.-Y., Huang, C.-J., & Hung, T.-M. (2015). Effects of attentional training on visual attention to emotional stimuli in archers: a preliminary investigation. International journal of psychophysiology, 98(3), 448-454. https://doi.org/10.1016/j.ijpsycho.2015.09.001
Cona, G., & Semenza, C. (2017). Supplementary motor area as key structure for domain-general sequence processing: a unified account. Neuroscience & Biobehavioral Reviews, 72, 28-42. https://doi.org/10.1016/j.neubiorev.2016.10.033
Curtin, A., & Ayaz, H. (2019). Neural efficiency metrics in neuroergonomics: Theory and applications. In Neuroergonomics (pp. 133-140). Elsevier. https://doi.org/10.1016/B978-0-12-811926-6.00022-1
Curtin, A., Ayaz, H., Tang, Y., Sun, J., Wang, J., & Tong, S. (2019). Enhancing neural efficiency of cognitive processing speed via training and neurostimulation: An fNIRS and TMS study. Neuroimage, 198, 73-82. https://doi.org/10.1016/j.neuroimage.2019.05.020
Davids, K., & Glazier, P. (2010). Deconstructing neurobiological coordination: the role of the biomechanics-motor control nexus. Exercise and sport sciences reviews, 38(2), 86-90. https://doi.org/10.1097/JES.0b013e3181d4968b
Davis, M., Wang, Y., Bao, S., Buchanan, J. J., Wright, D. L., & Lei, Y. (2022). The interactions between primary somatosensory and motor cortex during human grasping behaviors. Neuroscience, 485, 1-11. https://doi.org/10.1016/j.neuroscience.2021.11.039
Doppelmayr, M., Finkenzeller, T., & Sauseng, P. (2008). Frontal midline theta in the pre-shot phase of rifle shooting: differences between experts and novices. Neuropsychologia, 46(5), 1463-1467. https://doi.org/10.1016/j.neuropsychologia.2007.12.026
Doron, J., & Martinent, G. (2021). Dealing with elite sport competition demands: an exploration of the dynamic relationships between stress appraisal, coping, emotion, and performance during fencing matches. Cognition and Emotion, 35(7), 1365-1381. https://doi.org/10.1080/02699931.2021.1960800
Essen, D. V., & Zeki, S. (1978). The topographic organization of rhesus monkey prestriate cortex. The Journal of physiology, 277(1), 193-226. https://doi.org/10.1113/jphysiol.1978.sp012269
Foster, K., Gaska, J. P., Nagler, M., & Pollen, D. (1985). Spatial and temporal frequency selectivity of neurones in visual cortical areas V1 and V2 of the macaque monkey. The Journal of physiology, 365(1), 331-363. https://doi.org/10.1113/jphysiol.1985.sp015776
Furlan, M., & Smith, A. T. (2016). Global motion processing in human visual cortical areas V2 and V3. Journal of Neuroscience, 36(27), 7314-7324. https://doi.org/10.1523/JNEUROSCI.0025-16.2016
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
Gaudreau, P., & Blondin, J.-P. (2004). Different athletes cope differently during a sport competition: A cluster analysis of coping. Personality and Individual differences, 36(8), 1865-1877. https://doi.org/10.1016/j.paid.2003.08.017
Gegenfurtner, K. R., Kiper, D. C., & Levitt, J. B. (1997). Functional properties of neurons in macaque area V3. Journal of neurophysiology, 77(4), 1906-1923. https://doi.org/10.1152/jn.1997.77.4.1906
Ghosh, S., Brinkman, C., & Porter, R. (1987). A quantitative study of the distribution of neurons projecting to the precentral motor cortex in the monkey (M. fascicularis). Journal of Comparative Neurology, 259(3), 424-444. https://doi.org/10.1002/cne.902590309
Gonzalez, C. C., Causer, J., Grey, M. J., Humphreys, G. W., Miall, R. C., & Williams, A. M. (2017). Exploring the quiet eye in archery using field-and laboratory-based tasks. Experimental brain research, 235, 2843-2855. https://doi.org/10.1007/s00221-017-4988-2
Gu, F., Gong, A., Qu, Y., Bao, A., Wu, J., Jiang, C., & Fu, Y. (2022). From expert to elite?-Research on top archer's EEG network topology. Frontiers in Human Neuroscience, 16, 759330. https://doi.org/10.3389/fnhum.2022.759330
Haywood, K. M. (2006). Psychological aspects of archery. The Sport Psychologist's Handbook, 549-566. https://doi.org/10.1002/9780470713174.ch24
Hitchcock, Dakota, Sherwood, & David. (2018). Effects of Changing the Focus of Attention on Accuracy, Acceleration, and Electromyography in Dart Throwing. International Journal of Exercise Science. https://doi.org/10.70252/LEHC7031
Kan, C., Zhu, S., Zhuang, R., Wang, Q., Geng, A., Wang, C., Zhou, M., Shen, Y., Wang, T., & Zhu, Y. (2025). Differences in cortical activation characteristics between younger and older adults during single/dual-tasks: A cross-sectional study based on fNIRS. Biomedical Signal Processing and Control, 99, 106945. https://doi.org/10.1016/j.bspc.2024.106945
Kim, J., Lee, H. M., Kim, W. J., Park, H. J., Kim, S. W., Moon, D. H., Woo, M., & Tennant, L. K. (2008). Neural correlates of pre-performance routines in expert and novice archers. Neuroscience letters, 445(3), 236-241. https://doi.org/10.1016/j.neulet.2008.09.018
Kim, W., Chang, Y., Kim, J., Seo, J., Ryu, K., Lee, E., Woo, M., & Janelle, C. M. (2014). An fMRI study of differences in brain activity among elite, expert, and novice archers at the moment of optimal aiming. Cognitive and Behavioral Neurology, 27(4), 173-182. https://doi.org/10.1097/WNN.0000000000000042
Kim, Y., Chang, T., & Park, I. (2019). Visual scanning behavior and attention strategies for shooting among expert versus collegiate Korean archers. Perceptual and Motor Skills, 126(3), 530-545. https://doi.org/10.1177/0031512519829624
Kim, Y. K., Park, E., Lee, A., Im, C.-H., & Kim, Y.-H. (2018). Changes in network connectivity during motor imagery and execution. PloS one, 13(1), e0190715. https://doi.org/10.1371/journal.pone.0190715
Loze, G. M., Collins, D., & Holmes, P. S. (2001). Pre-shot EEG alpha-power reactivity during expert air-pistol shooting: A comparison of best and worst shots. Journal of Sports Sciences, 19(9), 727-733. https://doi.org/10.1080/02640410152475856
Lu, Q., Li, P., Wu, Q., Liu, X., & Wu, Y. (2021). Efficiency and enhancement in attention networks of elite shooting and archery athletes. Frontiers in psychology, 12, 638822. https://doi.org/10.3389/fpsyg.2021.638822
McNevin, N. H., Shea, C. H., & Wulf, G. (2003). Increasing the distance of an external focus of attention enhances learning. Psychological research, 67, 22-29. https://doi.org/10.1007/s00426-002-0093-6
Meidenbauer, K. L., Choe, K. W., Cardenas-Iniguez, C., Huppert, T. J., & Berman, M. G. (2021). Load-dependent relationships between frontal fNIRS activity and performance: A data-driven PLS approach. Neuroimage, 230, 117795. https://doi.org/10.1016/j.neuroimage.2021.117795
Meier, J., Topka, M. S., & Hänggi, J. (2016). Differences in cortical representation and structural connectivity of hands and feet between professional handball players and ballet dancers. Neural plasticity, 2016(1), 6817397. https://doi.org/10.1155/2016/6817397
Nicklas, A., Rein, R., Noël, B., & Klatt, S. (2024). A meta-analysis on immediate effects of attentional focus on motor tasks performance. International Review of Sport and Exercise Psychology, 17(2), 668-703. https://doi.org/10.1080/1750984X.2022.2062678
Pons, T., & Kaas, J. (1986). Corticocortical connections of area 2 of somatosensory cortex in macaque monkeys: a correlative anatomical and electrophysiological study. Journal of Comparative Neurology, 248(3), 313-335. https://doi.org/10.1002/cne.902480303
Sawilowsky, S. (2009). New Effect Size Rules of Thumb. Journal of Modern Applied Statistical Methods, 8, 597-599. https://doi.org/10.22237/jmasm/1257035100
Shelchkova, N. D., Downey, J. E., Greenspon, C. M., Okorokova, E. V., Sobinov, A. R., Verbaarschot, C., He, Q., Sponheim, C., Tortolani, A. F., & Moore, D. D. (2023). Microstimulation of human somatosensory cortex evokes task-dependent, spatially patterned responses in motor cortex. Nature Communications, 14(1), 7270. https://doi.org/10.1038/s41467-023-43140-2
Sherman, D. A., Lehmann, T., Baumeister, J., Gokeler, A., Donovan, L., & Norte, G. E. (2021). External focus of attention influences cortical activity associated with single limb balance performance. Physical therapy, 101(12), pzab223. https://doi.org/10.1093/ptj/pzab223
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
Teasdale, N., & Simoneau, M. (2001). Attentional demands for postural control: the effects of aging and sensory reintegration. Gait & Posture, 14(3), 203-210. https://doi.org/10.1016/S0966-6362(01)00134-5
Urquhart, E. L., Wanniarachchi, H. I., Wang, X., Liu, H., Fadel, P. J., & Alexandrakis, G. (2019). Mapping cortical network effects of fatigue during a handgrip task by functional near-infrared spectroscopy in physically active and inactive subjects. Neurophotonics, 6(4), 045011-045011. https://doi.org/10.1117/1.NPh.6.4.045011
von Lühmann, A., Ortega-Martinez, A., Boas, D. A., & Yücel, M. A. (2020). Using the general linear model to improve performance in fNIRS single trial analysis and classification: a perspective. Frontiers in Human Neuroscience, 14, 30. https://doi.org/10.3389/fnhum.2020.00030
Vrbik, A., Zavoreo, I., & Vrbik, I. (2021). External focus of attention affects shot accuracy in elite archers. Acta kinesiologica, 15(1), 99-104. https://doi.org/10.51371/issn.1840-2976.2021.15.1.12
Wang, D., Hu, T., Luo, R., Shen, Q., Wang, Y., Li, X., Qiao, J., Zhu, L., Cui, L., & Yin, H. (2022). Effect of cognitive reappraisal on archery performance of elite athletes: The mediating effects of sport-confidence and attention. Frontiers in psychology, 13, 860817. https://doi.org/10.3389/fpsyg.2022.860817
Wulf, G., & Lewthwaite, R. (2019). 3 effortless motor learning?: an external focus of attention enhances movement effectiveness and efficiency.
Yapıcı, A., Bacak, Ç., & Çelik, E. (2018). Relationship between shooting performance and motoric characteristics, respiratory function test parameters of the competing shooters in the youth category. European journal of physical education and sport science.