운동선수 경기력 수준과 작업기억 능력의 관계 검증을 위한 전전두엽의 혈역학적 분석: A Functional Near-Infrared Spectroscopy Study
Hemodynamic Analysis of the Prefrontal Cortex to Verify the Relationship Between Athlete Performance Level and Auditory-Spatial Working Memory: A Functional Near-Infrared Spectroscopy Study
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PURPOSE: The purpose of this study was to investigate the difference between the performance level and working memory of athletes through behavioral response measurements and hemodynamic measurements of the prefrontal cortex. METHODS: The study included 12 higher-level athletes, 12 athletes, and 12 non-athletes. The study task was to perform auditory-spatial working memory tasks according to difficulty (1 back, 2 back). Reaction times and hemodynamic changes in the cerebral prefrontal cortex were measured using the NIRSIT instrument during task performance. RESULTS: Behavioral response measurements of the superior players showed faster reaction times in the 1-back and 2-back tasks compared to the other two groups, and the functional connectivity of the cerebral prefrontal cortex showed strong activation in the 2-back task. CONCLUSIONS: In the case of higher-level athletes, it is suggested that working memory ability and motor performance are significant, and that working memory ability can be an important variable in sports situations.
Abstract
PURPOSE: The purpose of this study was to investigate the difference between the performance level and working memory of athletes through behavioral response measurements and hemodynamic measurements of the prefrontal cortex. METHODS: The study included 12 higher-level athletes, 12 athletes, and 12 non-athletes. The study task was to perform auditory-spatial working memory tasks according to difficulty (1 back, 2 back). Reaction times and hemodynamic changes in the cerebral prefrontal cortex were measured using the NIRSIT instrument during task performance. RESULTS: Behavioral response measurements of the superior players showed faster reaction times in the 1-back and 2-back tasks compared to the other two groups, and the functional connectivity of the cerebral prefrontal cortex showed strong activation in the 2-back task. CONCLUSIONS: In the case of higher-level athletes, it is suggested that working memory ability and motor performance are significant, and that working memory ability can be an important variable in sports situations.
참고문헌 (44)
- Yarrow K, "Inside the brain of an elite athlete : The neural processes that support high achievement in sports", Nat Rev Neurosci, 10, pp.585~596 (2009)
- Rioult-Pedotti MS, "Learning-induced LTP in neocortex", Science, 290, pp.533~536 (2000)
- Kleim JA, "Motor learning-dependent synaptogenesis is localized to functionally reorganized motor cortex", Neurobiol Learn Mem, 77(1), pp.63~77 (2002)
- Moris S, "Reaction times and anticipatory skills of karate athletes", Hum Mov Sci, 21(2), pp.213~230 (2002)
- Basten U, "Where smart brains are different : a quantitative meta-analysis of functional and structural brain imaging studies on intelligence", Intelligence, 51, pp.10~27 (2015)
- Neubauer AC, "Intelligence and neural efficiency", Neurosci Biobehav Rev, 33(7), pp.1004~1023 (2009)
- Buszard T, "The generalizability of working memory capacity in the sport domain", Curr Opin Psychol, 16, pp.54~57 (2017)
- Baddeley A, "Working memory : looking back and looking forward", Nat Rev Neurosci, 4(10), pp.829~839 (2003)
- Kane MJ, "A controlled-attention view of working memory capacity", J Exp Psychol Gen, 130(2), pp.169~183 (2001)
- Wood G, "Working memory capacity, Controlled attention and aiming performance under pressure", Psychol Res, 80(4), pp.510~517 (2016)
- Anguera JA, "The effects of working memory resource depletion and training on sensorimotor adaptation", Behav Brain Res, 228(1), pp.107~115 (2012)
- Langan J, "Age differences in spatial working memory contributions to visuomotor adaptation and transfer", Behav Bain Res, 225(1), pp.160~168 (2011)
- McCarthy G, "Functional magnetic resonance imaging of human prefrontal cortex activation during a spatial working memory task", Proc Natl Acad Sci U S A, 91(18), pp.8690~8694 (1994)
- Courtney SM, "Object and spatial visual working memory activate separate neural systems in human cortex", Cereb cortex, 6(1), pp.39~49 (1996)
- Smith EE, "Spatial versus object working memory : PET investigations", J Cogn Neurosci, 7(3), pp.337~356 (1995)
- Dieler AC, "Functional near-infrared spectroscopy for the assessment of speech related tasks", Brain Lang, 121(2), pp.90~109 (2012)
- Basso Moro S, "A semi-immersive virtual reality incremental swing balance task activates prefrontal cortex : a functional near-infrared spectroscopy study", Neuroimage, 85, pp.451~460 (2014)
- Fox MD, "Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging", Nat Rev Neurosci, 8(9), pp.700~711 (2007)
- Ferrari M, "A brief review on the history of human functional near-infrared spectroscopy(fNIRS)development and fields of application", Neuroimage, 63(2), pp.921~935 (2012)
- Nagdyman N, "Cerebral oxygenation measured by near-infrared spectroscopy during circulatory arrest and cardiopulmonary resuscitation", Br J Anaesth, 91(3), pp.438~442 (2003)
- Obrig H, "Beyond the visible—imaging the human brain with light", J Cereb Blood flow Metab, 23(1), pp.1~18 (2003)
- Taga G, "Brain imaging in awake infants by near-infrared optical topography", Proc Natl Acad Sci U S A, 100(19), pp.10722~10727 (2003)
- Duan L, "Quantitative comparison of resting-state functional connectivity derived from fNIRS and fMRI : a simultaneous recording study", Neuroimage, 60(4), pp.2008~2018 (2012)
- Sasai S, "A NIRSfMRI study of resting state network", Neuroimage, 63(1), pp.179~193 (2012)
- Smith, "Linking cognition to brain connectivity", Nat Neurosci, 19(1), pp.7~9 (2016)
- Biswal B, "Functional connectivity in the motor cortex of resting human brain using echo-planar MRI", Magn Reson Med, 34(4), pp.537~541 (1995)
- "The prefrontal cortex: Anatomy, physiology, and neuropsychology of the frontal lobe" (1989), Raven Press
- Racz FS, "Increased prefrontal cortex connectivity during cognitive challenge assessed by fNIRS imaging", Biomed Opt Express, 8(8), pp.3842~3855 (2017)
- Rubinov M, "Complex network measures of brain connectivity : uses and interpretations", Neuroimage, 52(3), pp.1059~1069 (2010)
- Hoshi Y, "Interpretation of near-infrared spectroscopy signals : a study with a newly developed perfused rat brain model", J Appl Physiol, 90(5), pp.1657~1662 (2001)
- Strangman G, "A quantitative comparison of simultaneous BOLD fMRI and NIRS recordings during functional brain activation", Neuroimage, 17(2), pp.719~731 (2002)
- Spierer DK, "Gender influence on response time to sensory stimuli", J Strength Cond Res, 24(4), pp.957~963 (2010)
- Kane MJ, "Working-memory capacity and the control of attention : The contributions of goal neglect, response competition, and task set to Stroop interference", J Exp Psychol Gen, 132(1), pp.47~70 (2003)
- Conway ARA, "The effect of memory load on negative priming : an individual differences investigation", Mem Cognit, 27(6), pp.1042~1050 (1999)
- Tuholski SW, "Individual differences in working memory capacity and enumeration", Mem Cognit, 29(3), pp.484~492 (2001)
- Heitz RP, "Focusing the spotlight : individual differences in visual attention control", J Exp Psychol Gen, 136(2), pp.217~240 (2007)
- Wright MJ, "Cortical fMRI activation to opponents’ body kinematics in sport-related anticipation: expert-novice differences with normal and point-light video", Neurosci. Lett, 500(3), pp.216~221 (2011)
- Carvo-Merino B, "Action observation and acquired motor skills : an fMRI study with expert dancers", Cereb Cortex, 15(8), pp.1243~1249 (2005)
- Carvo-Merino B, "Seeing or doing? Influence of visual and motor familiarity in action observation", Curr Biol, 16(19), pp.1905~1910 (2006)
- Goldman-Rakic PS, "Cellular basis of working memory", Neuron, 14(3), pp.477~485 (1995)
- Goldman-Rakic PS, "The prefrontal landscape : implications of functional architecture for understanding human mentation and the central executive", Philos Trans R Soc Lond B Biol Sci, 351(1346), pp.1445~1453 (1996)
- Rainer G, "Selective representation of relevant information by neurons in the primate prefrontal cortex", Nature, 393(6685), pp.577~579 (1998)
- Honey CJ, "Predicting human resting-state functional connectivity from structural connectivity", Proc Natl Acad Sci U S A, 106(6), pp.2035~2040 (2009)
- Honey CJ, "Network structure of cerebral cortex shapes functional connectivity on multiple time scales", Proc Natl Acad Sci U S A, 104(24), pp.10240~10245 (2007)
