Skip to main content
Log in

EEG Biofeedback for Autism Spectrum Disorder: A Commentary on Kouijzer et al. (2013)

  • Published:
Applied Psychophysiology and Biofeedback Aims and scope Submit manuscript

Abstract

Research conducted by Kouijzer et al. (Appl Psychophysiol Biofeedback 38(1):17–28, 2013) compared the effects of skin conductance biofeedback and EEG-biofeedback on patients with autistic spectrum disorders to determine their relative efficacy. While they found a difference between treatment and control groups, there was no significant difference on many variables between the two treatment groups. From this, the increase in symptom alleviation from autistic spectrum disorder was attributed to non-specific factors surrounding the study. We now offer alternative explanations for their findings and propose different options for future studies. We hypothesize that the location and type of neurofeedback used adversely impacted the findings. We speculate that had they used a form of EEG-biofeedback that can combat deficiencies in connectivity and also trained the areas of the brain most affected by autism, there may have then been a significant difference between the effectiveness of EEG-biofeedback versus skin conductance biofeedback.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

  • Barnea-Goraly, N., Kwon, H., Menon, V., Eliez, S., Lotspeich, L., & Reiss, A. L. (2004). White matter structure in autism: Preliminary evidence from diffusion tensor imaging. Biological Psychiatry, 55, 323–326.

    Article  PubMed  Google Scholar 

  • Benton, A., Hamsher, K., Varney, N. R., & Spreen, O. (1983). Benton test of facial recognition. New York, NY: Oxford University Press.

    Google Scholar 

  • Catani, M., Jones, D. K., Daly, E., Embiricos, N., Deeley, Q., Pugliese, L., et al. (2008). Altered cerebellar feedback projections in Asperger syndrome. Neuroimage, 41, 1184–1191.

    Article  PubMed  Google Scholar 

  • Coben, R. (2013). Neurofeedback for autistic disorders: Emerging empirical evidence. In M. F. Casanova, S. E. Ayman, & J. Suri (Eds.), Imaging the brain in autism (pp. 107–134). New York: Springer.

    Chapter  Google Scholar 

  • Coben, R., Chabot, R. J., & Hirschberg, L. (2013). EEG analyses in the assessment of autistic disorders. In M. F. Cassanova, S. E. Ayman, & J. Suri (Eds.), Imaging the brain in autism (pp. 349–369). New York: Springer.

    Chapter  Google Scholar 

  • Coben, R., & Padolsky, I. (2007). Assessment-guided neurofeedback for autistic spectrum disorders. Journal of Neurotherapy, 11, 5–23.

    Article  Google Scholar 

  • Fletcher, P. T., Whitaker, R. T., Tao, R., DuBray, M. B., Froehlich, A., Ravichandran, C., et al. (2010). Microstructural connectivity of the arcuate fasiculus in adolescents with high-functioning autism. Neuroimage, 51, 1117–1125.

    Article  PubMed Central  PubMed  Google Scholar 

  • Heinrich, H., Gevensleben, H., & Strehl, U. (2007). Annotation: Neurofeedback—Train your brain to train behavior. Journal of Child Psychology and Psychiatry, 48(1), 3–16.

    Article  PubMed  Google Scholar 

  • Jarusiewicz, B. (2002). Efficacy of neurofeedback for children in the autistic spectrum: A pilot study. Journal of Neurotherapy, 6, 39–49.

    Article  Google Scholar 

  • Just, M. A., Cherkassky, V. L., Keller, T. A., & Minshew, N. J. (2004). Cortical activation and synchronization during sentence comprehension in high-functioning autism: Evidence of under-connectivity. Brain, 127(8), 1811–1821.

    Article  PubMed  Google Scholar 

  • Kort, W., Schittekatte, M., Compaan, E. L., Bosmans, M., Bleichrodt, N., Vermeir, G., et al. (2002). WISC-III-NL. Handleiding. Nederlandse bewerking. London: The Psychological Corporation.

    Google Scholar 

  • Kouijzer, M. E. J., de Moor, J. M. H., Gerrits, B. J. L., Congedo, M., & van Schie, H. T. (2009). Neurofeedback improves executive functioning in children with Autism spectrum disorders. Research in Autism Spectrum Disorders, 3, 145–162.

    Article  Google Scholar 

  • Kouijzer, M. E. J., van Schie, H. T., de Moor, J. M. H., Gerrits, B. J. L., & Buitelaar, J. K. (2010). Neurofeedback treatment in autism. Preliminary findings in behavioral, cognitive, and neurophysiological functioning. Research in Autism Spectrum Disorders, 4, 386–399.

    Article  Google Scholar 

  • Kouijzer, M. E. J., van Schie, H. T., Gerrits, B. J. L., Buitelaar, J. K., & de Moor, J. M. H. (2013). Is EEG-biofeedback an effective treatment in autism spectrum disorders? A ranzomized controlled trial. Applied Psychophysiology and Biofeedback, 38(1), 17–28.

    Article  PubMed  Google Scholar 

  • Kovacs, F. (2005a). Tower of London test: Handleiding (3rd ed.). Voorhout: Pyramid Productions.

    Google Scholar 

  • Kovacs, F. (2005b). Test of sustained selective attention: Handleiding (3rd ed.). Voorhout: Pyramid Productions.

    Google Scholar 

  • Lange, N., Dubray, M. B., Lee, J. E., et al. (2010). Atypical diffusion tensor hemispheric   asymmetry in autism. Autism Research, 3, 350–358.

  • Li, H., Xue, Z., Ellmore, T. M., Frye, R. E., & Wong, S. T. (2012). Network-based analysis reveals stronger local diffusion-based connectivity and different correlations with oral language skills in brains of children with high functioning autism spectrum disorders. Human Brain Mapping. doi:10.1002/hbm.22185.

  • Lo, Y. C., Soong, W. T., Gau, S. S., Wu, Y. Y., Lai, M. C., Yeh, F. C., et al. (2011). The loss of asymmetry and reduced interhemispheric connectivity in adolescents with autism: A study using diffusion spectrum imaging and tractography. Psychiatry Research, 192, 60–66.

    Article  PubMed  Google Scholar 

  • Lord, C., Rutter, M., & Le, C. A. (1994). Autism diagnostic interview-revised: A revised version of a diagnostic interview for caregivers of individuals with possible pervasive developmental disorders. Journal of Autism and Developmental Disorders, 24, 659–685.

    Article  PubMed  Google Scholar 

  • McAlonan, G. M., Cheung, V., Cheung, C., Suckling, J., Lam, G. Y., Tai, K. S., et al. (2005). Mapping the brain in autism: A voxel-based MRI study of volumetric differences and intercorrelations in autism. Brain, 128(2), 268–276.

    Article  PubMed  Google Scholar 

  • Noriuchi, M., Kikuchi, Y., Yoshiura, T., Kira, R., Shigeto, H., Hara, T., et al. (2010). Altered white matter fractional anisotropy and social impairment in children with autism spectrum disorder. Brain Research, 1362, 141–149.

    Article  PubMed  Google Scholar 

  • Pelphrey, K., Adolphs, R., & Morris, J. P. (2004). Neuroanatomical substrates of social cognition dysfunction in autism. Mental Retardation and Developmental Disabilities Research Reviews, 10, 259–271.

    Article  PubMed  Google Scholar 

  • Reitan, R. (1956). Trail making test: Manual for administration, scoring and interpretation. Bloomington: Indiana University.

    Google Scholar 

  • Scolnick, B. (2005). Effects of electroencephalogram biofeedback with Asperger’s syndrome. International Journal of Rehabilitation Research, 28, 159–163.

    Article  PubMed  Google Scholar 

  • Sichel, A. G., Fehmi, L. G., & Goldstein, D. M. (1995). Positive outcome with neurofeedback reatment in a case of mild autism. Journal of Neurotherapy, 1(1), 60–64.

    Article  Google Scholar 

  • Stroop, J. R. (1935). Studies of interference in serial verbal reactions. Journal of Experimental Psychology, 18, 643–662.

    Article  Google Scholar 

  • Thatcher, R. W., Walker, R. A., Biver, C. J., North, D. N., & Curtin, R. (2003). Quantitative EEG normative databases: Validation and clinical correlation. In J. F. Lubar (Ed.), Quantitative electroencephalographic analysis (QEEG) databases for neurotherapy: Description, validation, and application. New York: Haworth Press.

    Google Scholar 

  • Thompson, L., Thompson, M., & Reid, A. (2010). Neurofeedback outcomes in clients with Asperger’s syndrome. Applied Psychophysiology and Biofeedback, 35, 63–81.

    Article  PubMed  Google Scholar 

  • Travers, B. G., & Alexander, A. L. (2013). Diffusion tensor magnetic resonance imaging in autism. In M. F. Casanova, S. E. Ayman, & J. Suri (Eds.), Imaging the brain in autism (pp. 179–229). New York, NY: Springer.

    Chapter  Google Scholar 

  • Wass, S. (2011). Distortions and disconnections: Disrupted brain connectivity in autism. Brain and Cognition, 75(1), 18–28.

    Article  PubMed  Google Scholar 

  • Welchew, D. E., Ashwin, C., Berkouk, K., Salvador, R., Suckling, J., Baron-Cohen, S., et al. (2005). Functional disconnectivity of the medial temporal lobe in Aspergers syndrome. Biological Psychiatry, 57, 991–998.

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Robert Coben.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Coben, R., Ricca, R. EEG Biofeedback for Autism Spectrum Disorder: A Commentary on Kouijzer et al. (2013). Appl Psychophysiol Biofeedback 40, 53–56 (2015). https://doi.org/10.1007/s10484-014-9255-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10484-014-9255-8

Keywords

Navigation