Auditory driving of the autonomic nervous system: Listening to theta-frequency binaural beats post-exercise increases parasympathetic activation and sympathetic withdrawal

Patrick A McConnell, Brett Froeliger, Eric L Garland, Jeffrey C Ives, Gary A Sforzo, Patrick A McConnell, Brett Froeliger, Eric L Garland, Jeffrey C Ives, Gary A Sforzo

Abstract

Binaural beats are an auditory illusion perceived when two or more pure tones of similar frequencies are presented dichotically through stereo headphones. Although this phenomenon is thought to facilitate state changes (e.g., relaxation), few empirical studies have reported on whether binaural beats produce changes in autonomic arousal. Therefore, the present study investigated the effects of binaural beating on autonomic dynamics [heart rate variability (HRV)] during post-exercise relaxation. Subjects (n = 21; 18-29 years old) participated in a double-blind, placebo-controlled study during which binaural beats and placebo were administered over two randomized and counterbalanced sessions (within-subjects repeated-measures design). At the onset of each visit, subjects exercised for 20-min; post-exercise, subjects listened to either binaural beats ('wide-band' theta-frequency binaural beats) or placebo (carrier tones) for 20-min while relaxing alone in a quiet, low-light environment. Dependent variables consisted of high-frequency (HF, reflecting parasympathetic activity), low-frequency (LF, reflecting sympathetic and parasympathetic activity), and LF/HF normalized powers, as well as self-reported relaxation. As compared to the placebo visit, the binaural-beat visit resulted in greater self-reported relaxation, increased parasympathetic activation and increased sympathetic withdrawal. By the end of the 20-min relaxation period there were no observable differences in HRV between binaural-beat and placebo visits, although binaural-beat associated HRV significantly predicted subsequent reported relaxation. Findings suggest that listening to binaural beats may exert an acute influence on both LF and HF components of HRV and may increase subjective feelings of relaxation.

Keywords: auditory driving; autonomic; binaural-beat; exercise; heart rate variability; relaxation.

Figures

FIGURE 1
FIGURE 1
Testing schedule and data collection time points. Wavy line represents example R–R interval time series over the course of one experimental session, including the following time points: 2-min baseline, 5-min warm-up, 20-min exercise, 5-min cool-down, 2-min post-exercise, 20-min relaxation [heart rate variability sampled during 2-min windows at beginning (RELAX-1), middle (RELAX-2), and last 2-min (RELAX-3) of relaxation].
FIGURE 2
FIGURE 2
Differences in sympathovagal balance (i.e., LF/HF) between binaural-beat and placebo conditions. Error bars represent ±1 SE of the marginal mean. *Condition × Time interaction is significant at p < 0.05. †Simple main effect of Time is significant at p < 0.05 (for binaural-beat condition only). *Interaction is significant at p < 0.05.
FIGURE 3
FIGURE 3
Differences in the trajectory of low-frequency (LF) power (representing a combination of sympathetic and parasympathetic influences) over the course of relaxation between binaural-beat and placebo conditions. Error bars represent ±1 SE of the marginal mean. *Condition × Time interaction is significant at p< 0.05. ηMarginal means are significantly different at p< 0.05. †Simple main effect of time is significant at p < 0.05 (for binaural-beat condition only). **Within-subjects contrast from RELAX-2 to RELAX-3 is significant at p< 0.05.
FIGURE 4
FIGURE 4
Differences in the trajectory of high-frequency (HF) power (representing parasympathetic influence) over the course of relaxation between binaural-beat and placebo conditions. Error bars represent ±1 SE of the marginal mean. †Simple main effect of Time significant at p < 0.05 (for binaural-beat condition only).
FIGURE 5
FIGURE 5
Self-report ratings of perceived relaxation post-treatment (t= 2.248, p = 0.036, d = 0.493). Error bars represent ±1 SE of the marginal mean.
FIGURE 6
FIGURE 6
Sympathovagal balance (LF/HF) mid-relaxation predicts 43% of variance in self-reported ratings of perceived relaxation in binaural-beat but not placebo condition.

References

    1. Armstrong R. G., Kenny G. P., Green G., Seely A. J. (2011). Diurnal variation in heart rate variability before and after maximal exercise testing. Chronobiol. Int. 28 344–351 10.3109/07420528.2011.559674
    1. Atwater F. H. (2004). The Hemi-Sync® Process. Faber, VA: The Monroe Institute.
    1. Benson H., Arns P. A., Hoffman J. W. (1981). The relaxation response and hypnosis. Int. J. Clin. Exp. Hypn. 29 259–270 10.1080/00207148108409160
    1. Bradshaw D. I., George J. D., Hyde A., LaMonte M. J., Vehrs P. R., Hager R. L., et al. (2005). An accurate V02max nonexercise regression model for 18-65 year-old adults. Res. Q. Exerc. Sport 76 426–432 10.1080/02701367.2005.10599315
    1. Brady B., Stevens L. (2000). Binaural-beat induced theta EEG activity and hypnotic susceptibility. Am. J. Clin. Hypn. 43 53–69 10.1080/00029157.2000.10404255
    1. Brenner I. K., Thomas S., Shephard R. J. (1998). Autonomic regulation of the circulation during exercise and heat exposure. Sports Med. 26 85–99 10.2165/00007256-199826020-00003
    1. Bricout V. A., DeChenaud S., Favre-Juvin A. (2010). Analyses of heart rate variability in young soccer players: the effects of sport activity. Auton. Neurosci. 154 112–116 10.1016/j.autneu.2009.12.001
    1. Buchheit M., Gindre C. (2006). Cardiac parasympathetic regulation: respective associations with cardiorespiratory fitness and training load. Am. J. Physiol. Heart Circ. Physiol. 291 H451–H458 10.1152/ajpheart.00008.2006
    1. 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. Task force of the european society of cardiology and the North American society of pacing and electrophysiology. Circulation 93 1043–1065 10.1161/01.CIR.93.5.1043
    1. Cantor D. S., Stevens E. (2009). QEEG correlates of auditory-visual entrainment treatment efficacy of refractory depression. J. Neurother. 13 100–108 10.1080/10874200902887130
    1. Clayton M., Sager R., Will U. (2005). “In time with the music: the concept of entrainment and its significance for ethnomusicology,” in European meetings in ethnomusicology Vol. 11 (Bucharest: ESEM Counterpoint; ) 3–142.
    1. Cvetkovic D., Powers R., Cosic I. (2009). Preliminary evaluation of electroencephalographic entrainment using thalamocortical modelling. Expert Syst. 26 320–338 10.1111/j.1468-0394.2009.00493.x
    1. Dabu-Bondoc S., Vadivelu N., Benson J., Perret D., Kain Z. N. (2010). Hemispheric synchronized sounds and perioperative analgesic requirements. [Brief Report]. Anesth. Analg. 110 208–210 10.1213/ANE.0b013e3181bea424
    1. Draganova R., Ross B., Wollbrink A., Pantev C. (2008). Cortical steady-state responses to central and peripheral auditory beats. Cereb. Cortex 18 1193–1200 10.1093/cercor/bhm153
    1. Foster D. S. (1990). EEG and subjective correlates of alpha frequency binaural-beat stimulation combined with alpha biofeedback. Hemi-Sync J. 8 1–2.
    1. Gladwell V. F., Sandercock G. R. H., Birch S. L. (2010). Cardiac vagal activity following three intensities of exercise in humans. Clin. Physiol. Funct. Imaging 30 17–22 10.1111/j.1475-097X.2009.00899.x
    1. Iwanaga M., Kobayashi A., Kawasaki C. (2005). Heart rate variability with repetitive exposure to music. Biol. Psychol. 70 61–66 10.1016/j.biopsycho.2004.11.015
    1. Kennerly R. C. (1994). An Empirical Investigation into the Effect of Beta Frequency Binaural-Beat Audio Signals on Four Measures of Human Memory. Master’s Thesis. Department of Psychology, West Georgia College, Carrolton, Georgia.
    1. Kennerly R. C. (2004). QEEG analysis of binaural-beat audio entrainment: a pilot study. J. Neurother. 8 22.
    1. Kliempt P., Ruta D., Ogston S., Landeck A., Martay K. (1999). Hemispheric-synchronisation during anaesthesia: a double-blind randomised trial using audiotapes for intra-operative nocieption control. Anaesthesia 54 769–773 10.1046/j.1365-2044.1999.00958.x
    1. Lane J., Kasian S., Owens J., Marsh G. (1998). Binaural auditory beats affect vigilance performance and mood. Physiol. Behav. 63 249–252 10.1016/S0031-9384(97)00436-8
    1. Le Scouarnec R.-P., Poirier R.-M., Owens J., Gauthier J., Taylor A. G., Foresman P. A. (2001). Use of binaural-beat tapes for treatment of anxiety: a pilot study of tape preference and outcomes. Altern. Ther. Health Med. 7 58–63.
    1. Lewis A. K., Osborn I. P., Roth R. (2004). The effect of hemispheric synchronization on intraoperative analgesia. Anesth. Analg. 98 533–536 10.1213/01.ANE.0000096181.89116.D2
    1. Manimmanakorn A., Hamlin M. J., Creary R.H., Sandercock G. R., Ross J. J., Hellemans J. (2011). Heart rate variability in responders and non-responders to live-moderate, train-low altitude training. World Acad. Sci. 77 936–940.
    1. Morris S. B., DeShon R. P. (2002). Combining effect size estimates in meta-analysis with repeated measures and independent-groups designs. Psychol. Methods 7 105 10.1037/1082-989X.7.1.105
    1. Ode J. J., Pivarnik J. M., Reeves M. J., Knous J. L. (2007). Body mass index as a predictor of percent fat in college athletes and nonathletes. Med. Sci. Sports Exerc. 39 403–409 10.1249/01.mss.0000247008.19127.3e
    1. Oster G. (1973). Auditory beats in the brain. Sci. Am. 229 94–102 10.1038/scientificamerican1073-94
    1. Padmanabhan R., Hildreth A. J., Laws D. (2005). A prospective, randomised, controlled study examining binaural-beat audio and pre-operative anxiety in patients undergoing general anaesthesia for day case surgery. Anaesthesia 60 874–877 10.1111/j.1365-2044.2005.04287.x
    1. Parekh A. L. P. A., Lee C. M. (2005). Heart rate variability after isocaloric exercise bouts of different intensities. Med. Sci. Sports Exerc. 37 599–605 10.1249/01.MSS.0000159139.29220.9A
    1. Peng C. K., Henry I. C., Mietus J. E., Hausdorff J. M., Khalsa G., Benson H., et al. (2004). Heart rate dynamics during three forms of meditation. Int. J. Cardiol. 95 19–27 10.1016/j.ijcard.2003.02.006
    1. Pierpont G. L., Voth E. J. (2004). Assessing autonomic function by analysis of heart rate recovery from exercise in healthy subjects. Am. J. Cardiol. 94 64–68 10.1016/j.amjcard.2004.03.032
    1. Raglin J. S., Morgan W. P. (1987). Influence of exercise and quiet rest on state anxiety and blood pressure. Med. Sci. Sports Exerc. 19 456–463 10.1249/00005768-198710000-00006
    1. Regaçone S. F., Lima D. D., Banzato M. S., Gução A. C., Valenti V. E., Frizzo A. C. (2014). Association between central auditory processing mechanism and cardiac autonomic regulation. Int. Arch. Med. 7 21 10.1186/1755-7682-7-21
    1. Rossy L. A., Thayer J. F. (1998). Fitness and gender-related differences in heart period variability. Psychosom. Med. 60 773–781 10.1097/00006842-199811000-00022
    1. Salmon P. (2001). Effects of physical exercise on anxiety, depression, and sensitivity to stress: a unifying theory. Clin. Psychol. Rev. 21 33–61 10.1016/S0272-7358(99)00032-X
    1. Santaella D. F., Araújo E. A., Ortega K. C., Tinucci T., Mion D., Jr., Negrão C. E., et al. (2006). Aftereffects of exercise and relaxation on blood pressure. Clin. J. Sport. Med. 16 341–347 10.1097/00042752-200607000-00010
    1. Schmidt A., Biau S., Möstl E., Becker-Birck M., Morillon B., Aurich J., et al. (2010). Changes in cortisol release and heart rate variability in sport horses during long-distance road transport. Domest. Anim. Endocrinol. 38 179–189 10.1016/j.domaniend.2009.10.002
    1. Sharpley C. F., Kamen P., Galatsis M., Heppel R., Veivers C., Claus K. (2000). An examination of the relationship between resting heart rate variability and heart rate reactivity to a mental arithmetic stressor. Appl. Psychophysiol. Biofeedback 25 143–153 10.1023/A:1009598607998
    1. Smith J. C., Marsh J. T., Brown W. S. (1975). Far-field recorded frequency-following responses: evidence for the locus of brainstem sources. Electroencephalogr. Clin. Neurophysiol. 39 465–472 10.1016/0013-4694(75)90047-4
    1. Stein P. K., Kleiger R. E., Rottman J. N. (1997). Differing effects of age on heart rate variability in men and women. Am. J. Cardiol. 80 302–305 10.1016/S0002-9149(97)00350-0
    1. Strauser J. M. (1997). The effects of music versus silence on measures of state anxiety, perceived relaxation, and physiological responses of patients receiving chiropractic interventions. J. Music Ther. 34 88–105 10.1093/jmt/34.2.88
    1. Sumi K., Suzuki S., Matsubara M., Ando Y., Kobayashi F. (2006). Heart rate variability during high-intensity field exercise in female distance runners. Scand. J. Med. Sci. Sports 16 314–320 10.1111/j.1600-0838.2005.00492.x
    1. Swann R., Bosanko S., Cohen R., Midgley R., Seed K. M. (1982). The Brain-A User’s Manual. New York: G.P. Putnam’s Sons.
    1. Tan X., Yowler C. J., Super D. M., Fratianne R. B. (2012). The interplay of preference, familiarity and psychophysical properties in defining relaxation music. J. Music Ther. 49 150–179 10.1093/jmt/49.2.150
    1. Tarvainen M. P., Niskanen J. P. (2008). Kubios HRV User’s Guide. Kuopio: Biosignal Anlaysis and Medical Imaging Group, Department of Physics, University of Kuopio.
    1. Terziotti P., Schena F., Gulli G., Cevese A. (2001). Post-exercise recovery of autonomic cardiovascular control: a study by spectrum and cross-spectrum analysis in humans. Eur. J. Appl. Physiol. 84 187–194 10.1007/s004210170003
    1. Thaut M. H., Abiru M. (2010). Rhythmic auditory stimulation in rehabilitation of movement disorders: a review of current research. Music Percept. 27 263–269 10.1525/mp.2010.27.4.263
    1. Thompson W. R. E. (2010). ACSM’s Guidelines for Exercise Testing and Prescription. Baltimore, MD: American College of Sports Medicine.
    1. Trost W., Vuilleumier P. (2013). “Rhythmic entrainment as a mechanism for emotion induction by music: a neurophysiological perspective,” in The Emotional Power of Music: Multidisciplinary Perspectives on Musical Arousal, Expression, and Social Control, eds Cochrane T., Fantini B., Scherer K. R. (Oxford, UK: Oxford University Press; ) 213–225 10.1093/acprof:oso/9780199654888.003.0016
    1. Wager T. D., Waugh C. E., Lindquist M., Noll D. C., Fredrickson B. L., Taylor S. F. (2009). Brain mediators of cardiovascular responses to social threat: part I: reciprocal dorsal and ventral sub-regions of the medial prefrontal cortex and heart-rate reactivity. Neuroimage 47 821–835 10.1016/j.neuroimage.2009.05.043
    1. Wallén M. B., Hasson D., Theorell T., Canlon B., Osika W. (2011). Possibilities and limitations of the polar rs800 in measuring heart rate variability at rest. Eur. J. Appl. Physiol. 112 1153–1165 10.1007/s00421-011-2079-9
    1. Wiseheart M. (2013). Effect Size Calculator. Available at: (accessed October 28 2014).

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