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Differences in baseline EEG measures for ADD and Normally Achieving preadolescent males

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Abstract

This study was designed as a replication of previous studies describing dynamic EEG differences between behaviorally dissimilar groups. This study is intended as a reference point from which other researchers can continue to establish the EEG correlates of “on-task” behavior. Eight Attention Deficit Disordered (ADD) children and eight Normally Achieving Controls (NAC) were assessed using dynamic EEG measures. Results are reported for the tasks of baseline (eyes open), reading, and drawing as recorded from FZ, CZ, PZ, C3, and C4. Significant amplitude differences between the groups were demonstrated in the theta band (4–8 hertz) during all tasks and for all sites. Amplitude differences in the beta band (12–20 hertz) were negligible. Differences between groups expressed as a ratio of theta/beta revealed significant differences mainly in the parietal region for on-task conditions. These results are discussed in relation to EEG neuro-feedback training paradigms and the importance of establishing normative “on-task” EEG values.

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References

  • American Psychiatric Association (1987).Diagnostic and statistical manual of mental disorders (3rd ed.—revised Washington, DC: Author.

    Google Scholar 

  • Canadian Achievement Tests (1980). Canadian Test Centre, 55 Citizen Court, Markham, Ontario: Levels 12–19.

  • Fein, G., Galin, D., Yingling, C. D., Johnstone, J., & Nelson, M. A. (1984). EEG spectra in 9–13 year old boys are stable over 1–3 years.Electroencephalography and Clinical Neurophysiology, 58 517–518.

    Google Scholar 

  • Gasser, T., Verleger, R., Bacher, P., & Sroka, L. (1988). Development of the EEG of school-aged children and adolescents. I. Analysis of band power.Electroencephalography and Clinical Neurophysiology, 69 91–99.

    Google Scholar 

  • Hanley, J., & Sklar, B. (1976). Electroencephalographic correlates of developmental reading dyslexias: Computer analysis of recordings from normal and dyslexic children. In G. Leisman (ed.).Basic visual processes and learning disability (pp. 217–241). Springfield, MA: Charles C. Thomas Publisher.

    Google Scholar 

  • Janzen, T. M. (1992).Comparing the dynamic EEG of successful and attention deficit disordered grade 5 and 6 boys. Unpublished Master's Thesis. University of Alberta.

  • Jasper, H. H. (1958). The 10–20 electrode system of the international federation.Electroencephalography and Clinical Neurophysiology, 10 371–375.

    Google Scholar 

  • John, E. R., Karmel, B. Z., Corning, W. C., Easton, P., Brown, D., Ahn, H., John, M., Harmony, T., Princhep, L., Toro, A., Gerson, I., Bartlett, F., Thatcher, R., Kaye, H., Valdes, P., & Schwartz, E. (1977). Neurometrics.Science, 196 1393–1410.

    Google Scholar 

  • Koppitz, E. M. (1975).The Bender Gestalt Test for Young Children (Vol. 2). Research and application. New York: Grune & Stratton.

    Google Scholar 

  • Lairy, C. G. (1975). The evolution of the EEG in normal children and adolescents from 1 to 21. In A. Remond (ed.).Handbook of electroencephalography and clinical neurophysiology (Vol. 6B) EEG evolution from birth to adulthood (pp. 31–68). Amsterdam: Elsevier Scientific Publishing Company.

    Google Scholar 

  • Lexicor Medical Technology. (1990).Neurosearch-24 User's Manual, Boulder, Colorado.

  • Lubar, J. F. (1985a). EEG biofeedback and learning disabilities.Theory into Practice, 24 106–111.

    Google Scholar 

  • Lubar, J. F. (1985b). Spectral analysis of EEG differences between children with and without learning disabilities.Journal of Learning Disabilities, 18 403–408.

    Google Scholar 

  • Lubar, J. F. (1989). Electroencephalographic biofeedback and neurological applications. In J. V. Basmajian (Ed.),Biofeedback: Principles and practice for clinicians (3 ed., pp. 67–90). Baltimore: Williams & Wilkins.

    Google Scholar 

  • Lubar, J. F. (1991). Discourse of the development of EEG diagnostics and biofeedback for Attention-Deficit/Hyperactivity Disorders.Biofeedback and Self-Regulation, 16 201–225.

    Google Scholar 

  • Lubar, J. F., Bianchini, B. A., Calhoun, W. H., Lambert, E. W., Brody, Z. H., & Shasbin, H. S. (1985). Spectral analysis of EEG differences between children with and without learning disabilities.Journal of Learning Disabilities, 18 403–408.

    Google Scholar 

  • Lubar, J. F., Gross, D. M., Shively, M. S., & Mann, C. A. (1990). Differences between normal, learning disabled and gifted children based upon an auditory evoked potential task.Journal of Psychophysiology, 4 249–260.

    Google Scholar 

  • Lubar, J. O., & Lubar, J. F. (1984). Electroencephalographic biofeedback of SMR and beta for treatment of Attention Deficit Disorders in a clinical setting.Biofeedback and Self-Regulation, 9 1–23.

    Google Scholar 

  • Lubar, J. F., Mann, C. A., Gross, D. M., & Shively, M. S. (1992). Differences in semantic event related potentials in learning disabled, normal and gifted children.Biofeedback and Self Regulation, 17 41–57.

    Google Scholar 

  • Lubar, J. F., & Shouse, M. N. (1976). EEG and behavioral changes in a hyperkinetic child concurrent with training of the sensorimotor rhythm (SMR).Biofeedback and Self-Regulation, 1 293–306.

    Google Scholar 

  • Mann, C., Lubar, J. F., Zimmerman, A. W., Miller, C. A., & Muenchen, R. A. (1992). Quantitative analysis of EEG in boys with Attention Deficit-Hyperactivity Disorder (ADHD): A controlled study with clinical implications.Pediatric Neurology, 8 30–36.

    Google Scholar 

  • Matousek, M., & Petersen, I. (1973). Frequency analysis of the EEG in normal children and adolescents. In P. Kellaway & I. Petersen (Eds.).Automation of clinical electroencephalography (pp. 75–103). New York: Raven Press Publishers.

    Google Scholar 

  • Senf, G. M. (1988). Neurometric brain mapping in the diagnosis and rehabilitation of cognitive dysfunction.Cognitive Rehabilitation, 6 20–37.

    Google Scholar 

  • Shouse, M. N., & Lubar, J. F. (1979). Operant conditioning of EEG rhythms and Ritalin in the treatment of hyperkinesis.Biofeedback and Self-Regulation, 4 299–311.

    Google Scholar 

  • Tansey, M. A. (1984). EEG sensorimotor rhythm biofeedback training: Some effects on the neurological precursors of learning disabilities.International Journal of Psychophysiology, 1 163–177.

    Google Scholar 

  • Tansey, M. A. (1985). Brainwave signatures: An index reflective of the brain's functional neuroanatomy: Further findings on the effect of EEG sensorimotor rhythm biofeedback training on the neurological precursors of learning disabilities.International Journal of Psychophysiology, 3 85–99.

    Google Scholar 

  • Tansey, M. A., & Bruner, R. L. (1983). EMG and EEG biofeedback training in the treatment of a 10-year-old hyperactive boy with a developmental reading disorder.Biofeedback and Self-Regulation, 8 25–37.

    Google Scholar 

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The authors wish to acknowledge contributions of Hazel Dean school administration and students. Also, thanks are offered to Allan Pankratz for his assistance with graphics.

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Janzen, T., Graap, K., Stephanson, S. et al. Differences in baseline EEG measures for ADD and Normally Achieving preadolescent males. Biofeedback and Self-Regulation 20, 65–82 (1995). https://doi.org/10.1007/BF01712767

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