Comparison of Athletes with and without Burnout Using the Stroop Color and Word Test

The present study compared brain activity of adolescents with or without burnout during their responses to a computerized version of the Stroop Color and Word Test. The Sport Adaptation of the Maslach Burnout Inventory was administered to 460 Korean high school student athletes. Electroencephalographic data were recorded from frontal, central, parietal, and occipital brain regions while these participants were performing the Stroop Color and Word Test. A 2 (group) × 2 (condition) × 15 (electrodes) three-way analysis of variance was used to analyze the data. Results indicated that the athletes without burnout exhibited significantly higher accuracy than their counterparts with burnout on the Stroop Color and Word Test. The athletes without burnout also showed higher amplitudes for theta, alpha, and beta power in the frontal areas than the athletes with burnout.

[1]  T. Gorely,et al.  Burnout in sport: A systematic review , 2007 .

[2]  P. Hassmén,et al.  Athlete burnout: an integrated model and future research directions , 2011 .

[3]  J. Richard Jennings,et al.  Speed-accuracy tradeoff functions in choice reaction time: Experimental designs and computational procedures , 1976 .

[4]  Hans-Joachim Mentzel,et al.  Cortical Inefficiency in Patients with Unipolar Depression: An Event-Related fMRI Study with the Stroop Task , 2006, Biological Psychiatry.

[5]  J. S. Barlow,et al.  Methods of Analysis of Nonstationary EEGs, with Emphasis on Segmentation Techniques: A Comparative Review , 1985, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.

[6]  J. Palva,et al.  New vistas for α-frequency band oscillations , 2007, Trends in Neurosciences.

[7]  D. Papanicolaou,et al.  Cognitive Dysfunction Relates to Subjective Report of Mental Fatigue in Patients with Chronic Fatigue Syndrome , 2006, Neuropsychopharmacology.

[8]  M. Thase,et al.  Pupillary assessment and computational modeling of the Stroop task in depression. , 2004, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[9]  Å. Hammar,et al.  Cognitive Functioning in Major Depression – A Summary , 2009, Front. Hum. Neurosci..

[10]  D Vickers,et al.  Effects of alternating set for speed or accuracy on response time, accuracy and confidence in a unidimensional discrimination task. , 1982, Acta psychologica.

[11]  A. Craig,et al.  Driver fatigue: electroencephalography and psychological assessment. , 2002, Psychophysiology.

[12]  A. Guilfoyle,et al.  Randomised controlled trial of graded exercise in chronic fatigue syndrome , 2004, The Medical journal of Australia.

[13]  J. Beck,et al.  Aerobic exercise training and burnout: a pilot study with male participants suffering from burnout , 2013, BMC Research Notes.

[14]  Wang Min-wei,et al.  Impairment of the spatial learning and memory induced by learned helplessness and chronic mild stress , 2006, Pharmacology Biochemistry and Behavior.

[15]  W. Klimesch,et al.  EEG alpha oscillations: The inhibition–timing hypothesis , 2007, Brain Research Reviews.

[16]  Richard S. J. Frackowiak,et al.  Anatomy of motor learning. I. Frontal cortex and attention to action. , 1997, Journal of neurophysiology.

[17]  G. Wilson,et al.  Cognitive task classification based upon topographic EEG data , 1995, Biological Psychology.

[18]  Masaaki Tanaka,et al.  Effect of mental fatigue on the central nervous system: an electroencephalography study , 2012, Behavioral and Brain Functions.

[19]  E. Crawley,et al.  What to do about attention and memory problems in children with CFS/ME: A neuropsychological approach , 2011, Clinical child psychology and psychiatry.

[20]  K. Inanaga,et al.  Frontal midline theta rhythm and mental activity , 1998, Psychiatry and Clinical Neurosciences.

[21]  Ronald E. Smith,et al.  Toward a Cognitive-Affective Model of Athletic Burnout , 1986 .

[22]  Susan R. Homack,et al.  A meta-analysis of the sensitivity and specificity of the Stroop Color and Word Test with children. , 2004, Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists.

[23]  C. Janelle,et al.  Regulating emotions uniquely modifies reaction time, rate of force production, and accuracy of a goal-directed motor action. , 2014, Human movement science.

[24]  R. Simons,et al.  Cognitive inefficiency in depressive undergraduates: Stroop processing and ERPs , 2011, Biological Psychology.

[25]  J. Polich,et al.  Tobacco smoking and event-related brain potentials in a Stroop task. , 2001, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[26]  M. Thase,et al.  Increased Amygdala and Decreased Dorsolateral Prefrontal BOLD Responses in Unipolar Depression: Related and Independent Features , 2007, Biological Psychiatry.

[27]  R. Strawsburg,et al.  Electroencephalographic monitoring in the emergency department. , 1994, Emergency medicine clinics of North America.

[28]  T. Raedeke,et al.  Development and Preliminary Validation of an Athlete Burnout Measure. , 2001, Journal of sport & exercise psychology.

[29]  Frank Andrasik,et al.  EEG Patterns and Chronic Fatigue Syndrome , 1997 .

[30]  E. John,et al.  Decreased EEG synchronization in Alzheimer’s disease and mild cognitive impairment , 2005, Neurobiology of Aging.

[31]  Aljoscha C. Neubauer,et al.  Brain correlates underlying creative thinking: EEG alpha activity in professional vs. novice dancers , 2009, NeuroImage.

[32]  J. Weisz,et al.  Effects of psychotherapy for depression in children and adolescents: a meta-analysis. , 2006, Psychological bulletin.

[33]  G. A. Miller,et al.  Cognitive Deficits in Depression and Functional Specificity of Regional Brain Activity , 2007, Cognitive Therapy and Research.

[34]  Timothy E. J. Behrens,et al.  Review Frontal Cortex and Reward-guided Learning and Decision-making Figure 1. Frontal Brain Regions in the Macaque Involved in Reward-guided Learning and Decision-making Finer Grained Anatomical Divisions with Frontal Cortical Systems for Reward-guided Behavior , 2022 .

[35]  G. Landry,et al.  Overuse injuries and burnout in youth sports: a position statement from the American Medical Society for Sports Medicine , 2014, British Journal of Sports Medicine.

[36]  J. Coakley,et al.  Burnout among Adolescent Athletes: A Personal Failure or Social Problem? , 1992 .

[37]  A. Pérez-Villalba.  Rhythms of the Brain, G. Buzsáki. Oxford University Press, Madison Avenue, New York (2006), Price: GB £42.00, p. 448, ISBN: 0-19-530106-4 , 2008 .

[38]  A. Wróbel,et al.  EEG beta band activity is related to attention and attentional deficits in the visual performance of elderly subjects. , 2013, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[39]  R. Eklund,et al.  Athlete Burnout: A Longitudinal Qualitative Study , 2007 .

[40]  M. Kiefer,et al.  Electrophysiological evidence for reduced inhibitory control in depressed patients in partial remission: a Go/Nogo study. , 2008, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[41]  M. Arns,et al.  EEG findings in burnout patients. , 2010, The Journal of neuropsychiatry and clinical neurosciences.

[42]  Johannes Pohl,et al.  Attention and executive functions in remitted major depression patients. , 2005, Journal of affective disorders.

[43]  Patricia A Deuster,et al.  Physiological and Psychological Fatigue in Extreme Conditions: Overtraining and Elite Athletes , 2010, PM & R : the journal of injury, function, and rehabilitation.

[44]  Yasushi Mizuki,et al.  Appearance of Frontal Midline Theta Activity in Patients with Generalized Anxiety Disorder , 2000, Neuropsychobiology.

[45]  S. Blakemore,et al.  Development of the adolescent brain: implications for executive function and social cognition. , 2006 .

[46]  Simon Finnigan,et al.  Theta power is reduced in healthy cognitive aging. , 2007, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[47]  E. Basar,et al.  Beta oscillatory responses in healthy subjects and subjects with mild cognitive impairment , 2013, NeuroImage: Clinical.

[48]  G. Landry,et al.  Overuse injuries and burnout in youth sports: a position statement from the American Medical Society for Sports Medicine , 2014, British Journal of Sports Medicine.

[49]  Lars Nyberg,et al.  Impaired cognitive performance in patients with chronic burnout syndrome , 2005, Biological Psychology.

[50]  Elaine A. Rose,et al.  Athlete burnout in elite sport: A self-determination perspective , 2009, Journal of sports sciences.

[51]  Yoshihito Shigihara,et al.  Neural effects of prolonged mental fatigue: A magnetoencephalography study , 2013, Brain Research.

[52]  Matthias Weisbrod,et al.  Prefrontal-cingulate activation during executive control: which comes first? , 2004, Brain research. Cognitive brain research.

[53]  S. Jackson,et al.  The Measurement of experienced burnout , 1981 .

[54]  Ali Bahramisharif,et al.  Brain-computer interfacing using modulations of alpha activity induced by covert shifts of attention , 2011, Journal of NeuroEngineering and Rehabilitation.

[55]  H. Jasper,et al.  The ten-twenty electrode system of the International Federation. The International Federation of Clinical Neurophysiology. , 1999, Electroencephalography and clinical neurophysiology. Supplement.

[56]  R. Eklund,et al.  The Nature of Player Burnout in Rugby: Key Characteristics and Attributions , 2006 .