1. Aston-Jones, G., & Cohen, J. D. (2005). An integrative theory of locus coeruleus-norepinephrine function: adaptive gain and optimal performance. Annu. Rev. Neurosci., 28(1), 403-450. https://doi.org/10.1146/annurev.neuro.28.061604.135709
2. Bagheri, S., & Hoseini, B. M. (2024). The Effect of Neurofeedback Training on Improving Executive Functions in Student Athletes. International Journal of Body, Mind & Culture (2345-5802), 11(5). https://doi.org/10.22122/ijbmc.v11i5.801
3. Basoglu, B., Keyf, E., Vural, M., GÜL, M., Dogan, A., Karakaş, F., ... & Camici, F. (2025). Does cognitive flexibility enhance decision-making in sports?. JOURNAL OF MENS HEALTH, 21(5). https://doi.org/10.22514/jomh.2025.066
4. Chatzipanteli, A., & Digelidis, N. (2011). The influence of metacognitive prompting on students’ performance in a motor skills test in physical education. International Journal of Sports Science and Engineering, 5(2), 93-98.
5. Chen, T., Liu, Y., Zhang, B., Wu, Y., Yan, F., & Yan, L. (2024). Electrophysiological correlation between executive vigilance and attention network based on cognitive resource control theory. International journal of psychophysiology, 203, 112393. https://doi.org/10.1016/j.ijpsycho.2024.112393
6. Chen, X., Li, X., Zou, D., Xie, H., & Wang, F. L. (2025). Metacognition research in education: topic modeling and bibliometrics. Educational technology research and development, 1-29. https://doi.org/10.1007/s11423-025-10451-8
7. Cohen, J. W. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd end ed.). Hikadale,NJ: Lawrence Erlbaum Assosiates. https://doi.org/10.4324/9780203771587
8. Cong, P., Long, Y., Zhang, X., Guo, Y., & Jiang, Y. (2024). Elucidating the underlying components of metacognitive systematic bias in the human dorsolateral prefrontal cortex and inferior parietal cortex. Scientific Reports, 14(1), 11380. https://doi.org/10.1038/s41598-024-62343-1
9. Diamond, A. (2013). Executive functions. Annual review of psychology, 64(1), 135-168. https://doi.org/10.1146/annurev-psych-113011-143750
10. Deodhar, A. V., & Bertenthal, B. I. (2023). How attention factors into executive function in preschool children. Frontiers in Psychology, 14, 1146101. https://doi.org/10.3389/fpsyg.2023.1146101
11. Dörrenbächer-Ulrich, L., Dilhuit, S., & Perels, F. (2024). Investigating the relationship between self-regulated learning, metacognition, and executive functions by focusing on academic transition phases: a systematic review. Current Psychology, 43(18), 16045-16072. https://doi.org/10.1007/s12144-023-05551-8
12. Elbe, A.-M., & Wikman, J. M. (2017). Psychological factors in developing high performance athletes. In Routledge handbook of talent identification and development in sport (pp. 169-180). Routledge.
13. Englert, C. (2016). The strength model of self-control in sport and exercise psychology. Frontiers in psychology, 7, 314 . https://doi.org/ 10.3389/fpsyg.2016.00314
14. Eskandarnejad, M., & Hosseinzadeh, Z. (2023), Investigating the Effect of Decision-Making Exercises on Working Memory, Selective Attention, and Performance Accuracy. Sport Psychology Studies. 12 (43).(Persian). https://doi.org/10.22089/spsyj.2020.8285.1901
15. Fan, J., McCandliss, B. D., Sommer, T., Raz, A., & Posner, M. I. (2002). Testing the efficiency and independence of attentional networks. Journal of cognitive neuroscience, 14(3), 340-347. https://doi.org/10.1162/089892902317361886
16. Filgueiras, A., Stults-Kolehmainen, M., Melo, G., & Keegan, R. (2023). Cognition in soccer and futsal: evidence of validity of a 4-instrument protocol to assess executive functioning among women athletes. BMC psychology, 11(1), 436. https://doi.org/10.1186/s40359-023-01464-0
17. Fitts, P. M., & Posner, M. I. (1967). Human performance.
18. Ghasemian, M., Janbaz Amirani, Y., Moradi, H., Ardakani, M., Tajpour, M., Salman, Z. (2024). The effect of online cognitive training on working memory, inhibition and shooting performance accuracy: a new training approach during quarantine. Sport Psychology Studies, 13(50), 1-16. (Persian). https://doi.org/10.22089/spsyj.2024.16566.2466
19. Ghobadi, N., Shojaei, M., & Daneshfar, A. ( 2015). The effect of modeling type on the performance of futsal passing skills in young novice women. Sport Sciences Quarterly, 7(17), 87-102. In Persian
20. Godet, A., Serrand, Y., Léger, B., Moirand, R., Bannier, E., Val-Laillet, D., & Coquery, N. (2024). Functional near-infrared spectroscopy-based neurofeedback training targeting the dorsolateral prefrontal cortex induces changes in cortico-striatal functional connectivity. Scientific Reports, 14(1), 20025. https://doi.org/10.57745/O0KPNY.
21. Hays, M. J., Kustes, S. R., & Bjork, E. L. (2024). Metacognitive Management of Attention in Online Learning. Journal of Intelligence, 12(4), 46. https://doi.org/10.3390/jintelligence12040046
22. Hamedi, S., Abdoli, B., & Farsi, A. (2018). The Effect of Metacognitive Strategies and Observation of skilled model on Soccer Chip Task Learning [Applicable]. Cognitive Psychology Journal, 6(1), 21-30. http://jcp.khu.ac.ir/article-1-2896-fa.html (Persian). https://doi.org/20.1001.1.23455780.1397.6.1.4.5
23. Heilmann, F., Knöbel, S., & Lautenbach, F. (2024). Improvements in executive functions by domain-specific cognitive training in youth elite soccer players. BMC psychology, 12(1), 528. https://doi.org/10.1186/s40359-024-02017-9
24. Jahn, N., Sinke, C., Kayali, Ö., Krug, S., Leichter, E., Peschel, S., ... & Heitland, I. (2023). Neural correlates of the attention training technique as used in metacognitive therapy–A randomized sham-controlled fMRI study in healthy volunteers. Frontiers in Psychology, 14, 1084022. https://doi.org/10.3389/fpsyg.2023.1084022
25. Kahneman, D. (1973). Attention and effort (Vol. 1063). Citeseer.
26. Kang, H. (2021). Sample size determination and power analysis using the G* Power software. Journal of educational evaluation for health professions, 18. https://doi.org/10.3352/jeehp.2021.18.17
27. Ma, L., He, H., Qiu, Y., Chen, Y., & Guan, Q. (2025). Altered interactions between attentional networks in older adults with mild cognitive impairment. Heliyon, 11(1). https://doi.org/10.1016/j.heliyon.2024.e41329
28. Markett, S., Nothdurfter, D., Focsa, A., Reuter, M., & Jawinski, P. (2022). Attention networks and the intrinsic network structure of the human brain. Human Brain Mapping, 43(4), 1431-1448.
29. https://doi.org/10.1002/hbm.25734
30. Miller, B. L., & Cummings, J. L. (2017). The human frontal lobes: Functions and disorders. Guilford Publications.
31. Miller, E. K., & Cohen, J. D. (2001). An integrative theory of prefrontal cortex function. Annual review of neuroscience, 24 (1), 167-202. https://doi.org/10.1146/annurev.neuro.24.1.167
32. Popandopulo, A., Kudysheva, A., Fominykh, N., Nurgaliyeva, M., & Kudarova, N. (2023, June). Assessment of students’ metacognitive skills in the context of education 4.0. In Frontiers in Education (Vol. 8, p. 1182377). Frontiers Media SA. https://doi.org/10.3389/feduc.2023.1182377
33. Posner, M. I., & Petersen, S. E. (1990). The attention system of the human brain. Annual review of neuroscience, 13(1), 25-42. https://doi.org/10.1146/annurev.ne.13.030190.000325
34. Rahavi Ezabadi, R., Sadeghian Shahi, M. R., & Rezaei, E. (2019). The Effects of Instruction of Learning Strategies and Difficulty of Decision Making on the Accuracy of Forehand Top Spin in Table Tennis. Sport Psychology Studies, 7(26), 77-90. In Persian https://doi.org/10.22089/spsyj.2019.6636.1705
35. Rivas, S. F., Saiz, C., & Ossa, C. (2022). Metacognitive strategies and development of critical thinking in higher education. Frontiers in psychology, 13, 913219. https://doi.org/10.3389/fpsyg.2022.913219
36. Sabaliauskas, S., Gražulis, D., Žilinskienė, N., & Kaukėnas, T. (2025). Metacognitive strategies improve self-regulation skills in expert sports coaches. Scientific Reports, 15(1), 3434.
37. https://doi.org/10.1038/s41598-025-86606-7
38. Schmitz, T. W., Kawahara-Baccus, T. N., & Johnson, S. C. (2004). Metacognitive evaluation, self-relevance, and the right prefrontal cortex. NeuroImage, 22(2), 941-947. https://doi.org/10.1016/j.neuroimage.2004.02.018
39. Shamsi Poor Dehkordi, P., & Bahrami, H. (2016). The Effectiveness of Self-Regulation and Meta Cognition Beliefs on Sporting Success in Elite, Expert and Beginner Athletes. Research on Educational Sport, 4(10), 81-96. In Persian
40. https://doi.org/10.22089/res.2016.777
41. Suresh, K. P. (2011). An overview of randomization techniques: an unbiased assessment of outcome in clinical research. Journal of human reproductive sciences, 4(1), 8-11. https://doi.org/10.4103/0974-1208.82352
42. Tang, Y.-Y., Hölzel, B. K., & Posner, M. I. (2015). The neuroscience of mindfulness meditation. Nature reviews neuroscience, 16(4), 213-225. https://doi.org/10.1038/nrn3916
43. Wulf, G., & Lewthwaite, R. (2016). Optimizing performance through intrinsic motivation and attention for learning: The OPTIMAL theory of motor learning. Psychonomic bulletin & review, 23, 1382-1414. https://doi.org/10.3758/s13423-015-0999-9
44. Yuki, S., Nakatani, H., Nakai, T., Okanoya, K., & Tachibana, R. O. (2019). Regulation of action selection based on metacognition in humans via a ventral and dorsal medial prefrontal cortical network. Cortex, 119, 336-349. https://doi.org/10.1016/j.cortex.2019.05.001
45. Zhu, R., Zheng, M., Liu, S., Guo, J., & Cao, C. (2024). Effects of Perceptual-Cognitive Training on Anticipation and Decision-Making Skills in Team Sports: A Systematic Review and Meta-Analysis. Behavioral Sciences, 14(10), 919. https://doi.org/10.3390/bs14100919
