Cognitive Behavior Evaluation Based on Physiological Parameters among Young Healthy Subjects with Yoga as Intervention

Objective. To investigate the effect of yoga practice on cognitive skills, autonomic nervous system, and heart rate variability by analyzing physiological parameters. Methods. The study was conducted on 30 normal young healthy engineering students. They were randomly selected into two groups: yoga group and control group. The yoga group practiced yoga one and half hour per day for six days in a week, for a period of five months. Results. The yoga practising group showed increased α, β, and δ EEG band powers and significant reduction in θ and γ band powers. The increased α and β power can represent enhanced cognitive functions such as memory and concentration, and that of δ signifies synchronization of brain activity. The heart rate index θ/α decreased, neural activity β/θ increased, attention resource index β/(α + θ) increased, executive load index (δ + θ)/α decreased, and the ratio (δ + θ)/(α + β) decreased. The yoga practice group showed improvement in heart rate variability, increased SDNN/RMSSD, and reduction in LF/HF ratio. Conclusion. Yoga practising group showed significant improvement in various cognitive functions, such as performance enhancement, neural activity, attention, and executive function. It also resulted in increase in the heart rate variability, parasympathetic nervous system activity, and balanced autonomic nervous system reactivity.

[1]  Shirley Telles,et al.  Effects of two yoga based relaxation techniques on heart rate variability (HRV). , 2006 .

[2]  Kristian Lukander,et al.  Estimating Brain Load from the EEG , 2009, TheScientificWorldJournal.

[3]  Wing-Kwong Wong,et al.  Wavelet real time monitoring system: a case study of the musical influence on electroencephalography , 2008 .

[4]  S. Thomas,et al.  The health benefits of yoga and exercise: a review of comparison studies. , 2010, Journal of alternative and complementary medicine.

[5]  Joseph T. Coyne,et al.  Applying Real Time Physiological Measures of Cognitive Load to Improve Training , 2009, HCI.

[6]  C. Parameswariah,et al.  Frequency Characteristics of Wavelets , 2002, IEEE Power Engineering Review.

[7]  Huaping Zhu,et al.  EEG-based vigilance analysis by using fisher score and PCA algorithm , 2010, 2010 IEEE International Conference on Progress in Informatics and Computing.

[8]  E. Basar,et al.  Gamma, alpha, delta, and theta oscillations govern cognitive processes. , 2001, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[9]  Ning Ye,et al.  EEG Analysis of Alcoholics and Controls Based on Feature Extraction , 2006, 2006 8th international Conference on Signal Processing.

[10]  Sansanee Boonnithi,et al.  Comparison of heart rate variability measures for mental stress detection , 2011, 2011 Computing in Cardiology.

[11]  Samantha M. Mowrer,et al.  Comparison of the ratio of the standard deviation of the R-R interval and the root mean squared successive differences (SD/rMSSD) to the low frequency-to-high frequency (LF/HF) ratio in a patient population and normal healthy controls. , 2007, Biomedical sciences instrumentation.

[12]  S. Huffel,et al.  Influence of Mental Stress on Heart Rate and Heart Rate Variability , 2009 .

[13]  Luiz Carlos Marques Vanderlei,et al.  Basic notions of heart rate variability and its clinical applicability. , 2009, Revista brasileira de cirurgia cardiovascular : orgao oficial da Sociedade Brasileira de Cirurgia Cardiovascular.

[14]  Daphne N. Yu,et al.  High-resolution EEG mapping of cortical activation related to working memory: effects of task difficulty, type of processing, and practice. , 1997, Cerebral cortex.

[15]  Michael J. Kahana,et al.  Direct brain recordings fuel advances in cognitive electrophysiology , 2010, Trends in Cognitive Sciences.

[16]  Min Zhao,et al.  Physiological Assessment of Driving Mental Fatigue Using Wavelet Packet Energy and Random Forests , 2010 .

[17]  Jørgen K. Kanters,et al.  Dynamics of spectral components of heart rate variability during changes in autonomic balance. , 1998, American journal of physiology. Heart and circulatory physiology.

[18]  R. Fazel-Rezai,et al.  Human performance evaluation based on EEG signal analysis: A prospective review , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[19]  K C Khare,et al.  A study of electroencephalogram in meditators. , 2000, Indian journal of physiology and pharmacology.

[20]  Robert J. Barry,et al.  Electroencephalogram θ/β Ratio and Arousal in Attention-Deficit/Hyperactivity Disorder: Evidence of Independent Processes , 2009, Biological Psychiatry.

[21]  J. Sztajzel Heart rate variability: a noninvasive electrocardiographic method to measure the autonomic nervous system. , 2004, Swiss medical weekly.

[22]  H Kobayashi,et al.  Heart rate variability; an index for monitoring and analyzing human autonomic activities. , 1999, Applied human science : journal of physiological anthropology.

[23]  Ananda Balayogi Bhavanani,et al.  Effect of yoga training on handgrip, respiratory pressures and pulmonary function. , 2003, Indian journal of physiology and pharmacology.

[24]  O. V. Grishin,et al.  Metabolic Rate Variability Impact on Very Low-Frequency of Heart Rate Variability , 2013 .

[25]  John Gruzelier,et al.  A theory of alpha/theta neurofeedback, creative performance enhancement, long distance functional connectivity and psychological integration , 2009, Cognitive Processing.

[26]  Pallav Sengupta,et al.  Health Impacts of Yoga and Pranayama: A State-of-the-Art Review , 2012, International journal of preventive medicine.

[27]  L. Aftanas,et al.  Non-linear dynamic complexity of the human EEG during meditation , 2002, Neuroscience Letters.

[28]  Y. H. Lee,et al.  Fuzzy systems to process ECG and EEG signals for quantification of the mental workload , 2000, Inf. Sci..

[29]  Shirley Telles,et al.  Heart rate variability changes during high frequency yoga breathing and breath awareness , 2011, BioPsychoSocial medicine.

[30]  Syed Sadat Ali,et al.  Physiological Effects of Yogic Practices and Transcendental Meditation in Health and Disease , 2012, North American journal of medical sciences.

[31]  Elizabeth Tharion,et al.  Short-term heart rate variability measures in students during examinations. , 2009, The National medical journal of India.

[32]  D. Yu Metabolic Rate Variability Impact on Very Low-Frequency of Heart Rate Variability , 2012 .

[33]  S. Ribeiro,et al.  Improvement in physiological and psychological parameters after 6months of yoga practice , 2012, Consciousness and Cognition.

[34]  Bishnu Hari Paudel,et al.  Effect of Yoga on Cardiovascular Autonomic Reactivity in Essential Hypertensive Patients , 2011 .

[35]  F. Freeman,et al.  Evaluation of an adaptive automation system using three EEG indices with a visual tracking task , 1999, Biological Psychology.

[36]  A G Ramakrishnan,et al.  Effect of two selected yogic breathing techniques of heart rate variability. , 1998, Indian journal of physiology and pharmacology.

[37]  G Bashein,et al.  Electroencephalography during surgery with cardiopulmonary bypass and hypothermia. , 1992, Anesthesiology.

[38]  S. Telles,et al.  A combination of focusing and defocusing through yoga reduces optical illusion more than focusing alone. , 1997, Indian journal of physiology and pharmacology.

[39]  Shirley Telles,et al.  Effects of Yoga on Mental and Physical Health: A Short Summary of Reviews , 2012, Evidence-Based Complementary and Alternative Medicine.

[40]  P. Murali Doraiswamy,et al.  Yoga on Our Minds: A Systematic Review of Yoga for Neuropsychiatric Disorders , 2012, Front. Psychiatry.

[41]  P. Satishchandra,et al.  Modulation of cardiac autonomic balance with adjuvant yoga therapy in patients with refractory epilepsy , 2008, Epilepsy & Behavior.