Relation: Aciego, R., Garcia, L., and Betancort, M. (2012). The benefits of chess for the intellectual and social-emotional enrichment in schoolchildren. Span. J. Psychol. 15, 551–559. doi:10.5209/rev_SJOP.2012.v15.n2.38866 Amidzic, O., Riehle, H. J., and Elbert, T. (2006). Toward a psychophysiology of expertise - Focal magnetic gamma bursts as a signature of memory chunks and the aptitude of chess players. J. Psychophysiol. 20, 253–258. doi:10.1027/0269- 8803.20.4.253 Bart, W. M. (2014). On the effect of chess training on scholastic achievement. Front. Psychol. 5:762. doi:10.3389/fpsyg.2014.00762 Beltrán-Velasco, A. I., Bellido-Esteban, A., Ruisoto-Palomera, P., and ClementeSuárez, V. J. (2018). Use of portable digital devices to analyze autonomic stress response in psychology objective structured clinical examination. J. Med. Syst. 42:35. doi:10.1007/s10916-018-0893-x Benjamini, Y., and Hochberg, Y. (1995). Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Stat. Soc. Ser. B 57, 289–300. doi:10.1111/j.2517-6161.1995.tb02031.x Camm, A. J., Malik, M., Bigger, J. T., Breithardt, G., Cerutti, S., Cohen, R. J., et al. (1996). Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. Eur. Heart J. 17, 354–381. doi:10.1093/ oxfordjournals.eurheartj.a014868 Chase, W. G., and Simon, H. A. (1973). Perception in chess. Cognit. Psychol. 4, 55–81. doi:10.1016/0010-0285(73)90004-2 da Costa, M. P., Da Silva, N. T., De Azevedo, F. M., Pastre, C. M., and Marques Vanderlei, L. C. (2016). Comparison of Polar((R)) RS800G3 heart rate monitor with Polar((R)) S810i and electrocardiogram to obtain the series of RR intervals and analysis of heart rate variability at rest. Clin. Physiol. Funct. Imag. 36, 112–117. doi:10.1111/cpf.12203 Dunn, O. J. (1961). Multiple comparisons among means. J. Am. Stat. Assoc. 56, 52–64. doi:10.1080/01621459.1961.10482090 Elkies, N. D., and Stanley, R. P. (2003). The mathematical knight. Math. Intell. 25, 22–34. doi:10.1007/BF02985635 Elo, A. (1978). The Rating Of Chessplayers, Past and Present. New York, NY: Batsford. Fuentes, J. P., Villafaina, S., Collado-Mateo, D., De La Vega, R., Gusi, N., and Clemente-Suarez, V. J. (2018). Use of biotechnological devices in the quantification of psychophysiological workload of professional chess players. J. Med. Syst. 42, 40–40. doi:10.1007/s10916-018-0890-0 Gobet, F., and Simon, H. A. (1998). Expert chess memory: revisiting the chunking hypothesis. Memory 6, 225–255. doi:10.1080/741942359 Goldberger, A. L. (1996). Non-linear dynamics for clinicians: chaos theory, fractals, and complexity at the bedside. Lancet 347, 1312–1314. doi:10.1016/S0140- 6736(96)90948-4 Goldman-Rakic, P. S. (1996). The prefrontal landscape: implications of functional architecture for understanding human mentation and the central executive. Philos. Trans. R. Soc. Lond. Ser. B Biol. Sci. 351, 1445–1453. doi:10.1098/rstb. 1996.0129 Guida, A., Gobet, F., Tardieu, H., and Nicolas, S. (2012). How chunks, long-term working memory and templates offer a cognitive explanation for neuroimaging data on expertise acquisition: a two-stage framework. Brain Cognit. 79, 221–244. doi:10.1016/j.bandc.2012.01.010 Gur, R. C., Gur, R. E., Skolnick, B. E., Resnick, S. M., Silver, F. L., Chawluk, J., et al. (1988). Effects of task-difficulty on regional cerebral blood flow - relationships with anxiety and performance. Psychophysiology 25, 392–399. doi:10.1111/j. 1469-8986.1988.tb01874.x Hjortskov, N., Rissén, D., Blangsted, A. K., Fallentin, N., Lundberg, U., and Søgaard, K. (2004). The effect of mental stress on heart rate variability and blood pressure during computer work. Eur. J. Appl. Physiol. 92, 84–89. doi:10.1007/s00421-004-1055-z Kamen, P. W., Krum, H., and Tonkin, A. M. (1996). Poincare plot of heart rate variability allows quantitative display of parasympathetic nervous activity in humans. Clin. Sci. 91, 201–208. doi:10.1042/cs0910201 Karmakar, C. K., Khandoker, A. H., Voss, A., and Palaniswami, M. (2011). Sensitivity of temporal heart rate variability in Poincaré plot to changes in parasympathetic nervous system activity. Biomed. Eng. Online 10:17. doi:10.1186/1475-925X-10-17 Kazemi, F., Yektayar, M., and Abad, A. M. B. (2012). Investigation the impact of chess play on developing meta-cognitive ability and math problem-solving power of students at different levels of education. Proc. Soc. Behav. Sci. 32, 372–379. doi:10.1016/j.sbspro.2012.01.056 Kiesel, A., Kunde, W., Pohl, C., Berner, M. P., and Hoffmann, J. (2009). Playing chess unconsciously. J. Exp. Psychol. Learn. Mem. Cogn. 35, 292–298. doi:10.1037/a0014499 Koechlin, E., and Hyafil, A. (2007). Anterior prefrontal function and the limits of human decision-making. Science 318, 594–598. doi:10.1126/science.1142995 Lesage, F.-X., Berjot, S., and Deschamps, F. (2012). Clinical stress assessment using a visual analogue scale. Occupat. Med. 62, 600–605. doi:10.1093/occmed/ kqs140 Lin, Q., Cao, Y., and Gao, J. (2015). The impacts of a GO-game (Chinese chess) intervention on Alzheimer disease in a Northeast Chinese population. Front. Aging Neurosci. 7:163. doi:10.3389/fnagi.2015.00163 Luque-Casado, A., Zabala, M., Morales, E., Mateo-March, M., and Sanabria, D. (2013). Cognitive performance and heart rate variability: the influence of fitness level. PLoS One 8:e56935. doi:10.1371/journal.pone.0056935 Mathy, F., Fartoukh, M., Gauvrit, N., and Guida, A. (2016). Developmental abilities to form chunks in immediate memory and its non-relationship to span development. Front. Psychol. 7:201. doi:10.3389/fpsyg.2016.00201 Mukherjee, S., Yadav, R., Yung, I., Zajdel, D. P., and Oken, B. S. (2011). Sensitivity to mental effort and test-retest reliability of heart rate variability measures in healthy seniors. Clin. Neurophysiol. 122, 2059–2066. doi:10.1016/j.clinph.2011. 02.032 Muthukrishnan, S. P., Gurja, J. P., and Sharma, R. (2017). Does heart rate variability predict human cognitive performance at higher memory loads? Indian J. Physiol. Pharmacol. 61, 14–22. Porges, S. W., and Raskin, D. C. (1969). Respiratory and heart rate components of attention. J. Exp. Psychol. 81, 497–503. doi:10.1037/h0027921 Reardon, M., and Malik, M. (1996). Changes in heart rate variability with age. Pacing Clin. Electrophysiol. 19, 1863–1866. doi:10.1111/j.1540-8159.1996. tb03241.x Sala, G., Foley, J. P., and Gobet, F. (2017). The effects of chess instruction on pupils’ cognitive and academic skills: state of the art and theoretical challenges. Front. Psychol. 8:238. doi:10.3389/fpsyg.2017.00238 Sala, G., Gorini, A., and Pravettoni, G. (2015). Mathematical problem-solving abilities and chess: an experimental study on young pupils. Sage Open 5:2158244015596050. doi:10.1177/2158244015596050 Sánchez-Molina, J., Robles-Pérez, J. J., and Clemente-Suárez, V. J. (2018). Assessment of psychophysiological response and specific fine motor skills in combat units. J. Med. Syst. 42:67. doi:10.1007/s10916-018-0922-9 Shaffer, F., Mccraty, R., and Zerr, C. L. (2014). A healthy heart is not a metronome: an integrative review of the heart’s anatomy and heart rate variability. Front. Psychol. 5:1040. doi:10.3389/fpsyg.2014.01040 Shah, A. K., and Oppenheimer, D. M. (2008). Heuristics made easy: an effortreduction framework. Psychol. Bull. 134:207. doi:10.1037/0033-2909.134. 2.207 Shinba, T., Kariya, N., Matsui, Y., Ozawa, N., Matsuda, Y., and Yamamoto, K. (2008). Decrease in heart rate variability response to task is related to anxiety and depressiveness in normal subjects. Psychiatry Clin. Neurosci. 62, 603–609. doi:10.1111/j.1440-1819.2008.01855.x Simon, H. A. (1990). Invariants of human behavior. Annu. Rev. Psychol. 41, 1–20. doi:10.1146/annurev.ps.41.020190.000245 Soares-Miranda, L., Sattelmair, J., Chaves, P., Duncan, G., Siscovick, D. S., Stein, P. K., et al. (2014). Physical activity and heart rate variability in older adults: the Cardiovascular Health Study. Circulation 129, 2100–2110. doi:10.1161/ CIRCULATIONAHA.113.005361 Tarvainen, M. P., Niskanen, J.-P., Lipponen, J. A., Ranta-Aho, P. O., and Karjalainen, P. A. (2014). Kubios HRV - Heart rate variability analysis software. Comput. Methods Progr. Biomed. 113, 210–220. doi:10.1016/j.cmpb.2013. 07.024 Thayer, J. F., Ahs, F., Fredrikson, M., Sollers, J. J., and Wager, T. D. (2012). A metaanalysis of heart rate variability and neuroimaging studies: implications for heart rate variability as a marker of stress and health. Neurosci. Biobehav. Rev. 36, 747–756. doi:10.1016/j.neubiorev.2011.11.009 Trinchero, R., and Sala, G. (2016). Chess training and mathematical problemsolving: the role of teaching heuristics in transfer of learning. Eurasia J. Math. Sci. Technol. Educ. 12, 655–668. doi:10.12973/eurasia.2016. 1255a Troubat, N., Fargeas-Gluck, M.-A., Tulppo, M., and Dugue, B. (2009). The stress of chess players as a model to study the effects of psychological stimuli on physiological responses: an example of substrate oxidation and heart rate variability in man. Eur. J. Appl. Physiol. 105, 343–349. doi:10.1007/s00421-008- 0908-2 Villafaina, S., Collado-Mateo, D., Cano-Plasencia, R., Gusi, N., and Fuentes, J. P. (2018). Electroencephalographic response of chess players in decision-making processes under time pressure. Physiol. Behav. 198, 140–143. doi:10.1016/j. physbeh.2018.10.017 Weippert, M., Behrens, M., Rieger, A., and Behrens, K. (2014). Sample entropy and traditional measures of heart rate dynamics reveal different modes of cardiovascular control during low intensity exercise. Entropy 16, 5698–5711. doi:10.3390/e16115698 Wickens, C., Hollands, J., Banbury, S., and Parasuraman, R. (2015). Engineering Psychology and Human Performance. New York, NY: Psychology Press. Conflict of Interest Statement: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest; http://hdl.handle.net/11323/4182; Corporación Universidad de la Costa; REDICUC - Repositorio CUC; https://repositorio.cuc.edu.co/
No Comments.