Applied Psychophysiology and Biofeedback

, Volume 25, Issue 2, pp 93–101 | Cite as

Stress Reduction by Technology? An Experimental Study into the Effects of Brainmachines on Burnout and State Anxiety

  • Hans C. Ossebaard


Stress and burnout are widely acknowledged as major causes of societal and individual problems in the Western world. In order to reduce material and immaterial expenses, increased efforts are made to enhance relaxation and stress reduction. Based on neuropsychological findings, alternative ways have been explored, one of them being the application of so-called brain wave synchronizers, which are said to induce a relaxation response by entraining alpha brain-wave activity (8–13 Hz) through audiovisual stimulation. A double blind, quasi-experiment was conducted among employees at a Dutch addiction care center to investigate the possible effects of two distinct brainmachine programs on burnout and anxiety. Subjects in both conditions showed a significant, immediate decrease in state anxiety as assessed by Spielberger's State-Trait Anxiety Inventory (STAI) and reported a range of subjective effects. However, a long-term effect on burnout, as measured with Maslach's Burnout Inventory (MBI-NL), could not be established. A long-term effect on anxiety (STAI), as investigated by interrupted time-series measurement, could not be established either. These and other findings suggest that the major claims with respect to these machines cannot hold over time, although pleasant short-term effects do occur. Individual differences in baseline responsivity, the stable character of burnout dimensions, or the ill-defined nature of relaxation, or a combination of these, may account for these results.

relaxation burnout anxiety stress brain wave synchronizers 


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  1. Bierman, D. J., & Julien, E. C. G. J. (1997). Een exploratief onderzoek naar het effect van hersengolftraining door middel van photic stimulation op onthoudingsverschijnselen van alcoholafhankelijken in een klinische setting [An explorative study into the effects of brain wave training through photic stimulation on withdrawal symptoms of alcohol dependents]. Tijdschrift voor Alcohol, Drugs en andere Psychotrope stoffen, 22, 65–73.Google Scholar
  2. Bridgewater, G., Sherry, C. J., & Marczynski, T. J. (1975). Alpha activity: The influence of unpatterned light input and auditory feedback. Life Sciences, 16, 729–737.Google Scholar
  3. Brockopp, G. W. (1984). Review of research on multi-model sensory stimulation with clinical implications and research proposals. Unpublished Report.Google Scholar
  4. Brown, B. B. (1977). Stress and the art of biofeedback. New York: Harper & Row.Google Scholar
  5. Brown, B. B. (1980). Supermind: The ultimate energy. New York: Harper & Row.Google Scholar
  6. CBS—Centraal Bureau voor de Statistiek (1998). Permanent Onderzoek Leefsituatie 1997 [Permanent research life situation of the Dutch population 1997]. Heerlen: Author.Google Scholar
  7. De Nicholas, L. (1992). Research Report, Psychological Laboratory, Faculty of Psychology, University of Deusto, Bilbao, Spain.Google Scholar
  8. Dodge, V. H. (1991). Relaxation training: A nursing intervention for substance abusers. Archives of Psychiatric Nursing, 5, 99–104.Google Scholar
  9. Fahrion, S. L., Walters, E. D., Coyne, L., & Allen, T. (1992). Alterations in EEG amplitude, personality factors and brain electrical mapping after alpha-theta brainwave training: A controlled case study of an alcoholic in recovery. Alcohol Clinical and Experimental Research, 16, 547–552.Google Scholar
  10. Groeneweg, J., Conrad, A. E., Wolters, G., & Wagenaar, W. A. (1995). Does the Synchro-energizer enhance the memory of college students? Leiden: Werkgroep Veiligheid, Vakgroep Experimentele Psychologie, Universiteit Leiden.Google Scholar
  11. Koukou, M., Lehmann, D., & Angst, J. (1980). Functional states of the brain: Their determinants. Amsterdam: Elsevier.Google Scholar
  12. McCraty, R., Atkinson, M., Rein, G., & Watkins, A. D. (1996). Music enhances the effect of positive emotional states on salivary IgA. Stress Medicine, 12, 167–175.Google Scholar
  13. Morse, D. R. (1993). Brain wave synchronizers: A review of their stress reduction effects and clinical studies assessed by questionnaire, galvanic skin resistance, pulse rate, saliva, and electroencephalograph. Stress Medicine, 9, 111–126.Google Scholar
  14. Narici, L., Pizella, V., Romani, G. L., Torrioli, G., Traversa, R., & Rossini, P.M. (1990). Evoked α-and μ-rhythms in humans: A neuromagnetic study. Brain Research, 520, 222–231.Google Scholar
  15. Niedermayer, E., & Lopes da Silva, F. H. (1987). Electroencephalography: Basic principles, clinical applications and related fields. Baltimore: Urban and Schwartzenberg.Google Scholar
  16. Ossebaard, H. C., & Van Daalen, M. (1996). Surfing the brainwaves—de digitale roes [Surfing the brainwaves—The digital high]. In Ossebaard, H. C. (Ed.), Reis naar de roes [Journey to the high] (pp. 122–136). Utrecht: Universiteit Utrecht.Google Scholar
  17. Regan, D. (1972). Evoked potentials in psychology, sensory physiology and clinical medicine. UK: Chapman & Hall.Google Scholar
  18. Rockstroh, B., Elbert, T., Birbaumer, N., & Lutzenberger, W. (1982). Slow brain potentials and behavior. Baltimore: Urban & Schwarzenberg.Google Scholar
  19. Rosenfeld, J. P., Reinhart, A. M., & Srivastava, S. (1997). The effects of alpha (10 Hz) and beta (22 Hz) entrainment stimulation on the alpha and beta EEG bands: Individual differences are critical to prediction of effects. Applied Psychophysiology and Biofeedback, 22, 3–20.Google Scholar
  20. Schaufeli, W. B., Maslach, C., & Marek, T. (1993). Professional burnout: Recent developments in theory and research. New York: Taylor and Francis.Google Scholar
  21. Schaufeli, W. B., & Van Dierendonck, D. (1994). Burnout, een begrip gemeten: de Nederlandse versie van de Maslach Burnout Inventory (MBI-NL) [Burnout, measuring a concept: The Dutch version of Maslach's Burnout Inventory (MBI-NL)]. Gedrag en Gezondheid, 22, 153–172.Google Scholar
  22. Schaufeli, W. B., & Van Dierendonck, D. (1993). The construct validity of two burnout measures. Journal of Organizational Behaviour, 14, 631–647.Google Scholar
  23. Shealy, C. N., Cady, R. K., Cox, R. H., Liss, S., Clossen, W., & Culver Veehoff, D. (1990). Brainwave synchronization (photo-stimulation) with the Shealy RelaxMate . Shealy Institute for Comprehensive Health Care, Sprinfield, MO.Google Scholar
  24. Van Dam, A. (1997). Longtudinaal onderzoek naar burnout [Longitudinal studies of burnout]. Berichten uit Psychopolis, 2(12).Google Scholar
  25. Van der Ploeg, H. M., Defares, P.B., & Spielberger, C. D. (1980). Handleiding bij de Zelf Beoordelings Vragenlijst [Manual of the Dutch version of Spielberger's State-Trait Anxiety Inventory]. Lisse: Swets & Zeitlinger.Google Scholar
  26. Van Eck, M. M. M. (1996). Stress, mood and cortisol dynamics in daily life. Thesis, University of Limburg, Maastricht.Google Scholar

Copyright information

© Plenum Publishing Corporation 2000

Authors and Affiliations

  • Hans C. Ossebaard
    • 1
  1. 1.Trimbos-Institute (Netherlands Institute of Mental Health and Addiction), INTOXUtrechtThe Netherlands

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