Skip to main content Accessibility help
×
Hostname: page-component-78c5997874-mlc7c Total loading time: 0 Render date: 2024-11-17T14:53:59.828Z Has data issue: false hasContentIssue false

18 - Quantitative electroencephalography and neurofeedback

Published online by Cambridge University Press:  13 August 2009

Scott J. Hunter
Affiliation:
University of Chicago
Jacobus Donders
Affiliation:
Mary Free Bed Rehabilitation Hospital, Grand Rapids
Get access

Summary

Quantitative electroencephalography (qEEG) and neurofeedback have received substantial attention in recent years, as potential tools for the evaluation and treatment of neurodevelopmental disorders. Each technique relies on the premise that electroencephalographic (EEG) specificity can serve as a marker for a particular neurodevelopmental disorder or syndrome, or as a marker of specific cognitive deficits associated with neurological and neuropsychological disorders. This chapter presents a critical review of the relevant literature that applies qEEG and neurofeedback to pediatric disorders. Prior to a review of this literature, a brief discussion of the technology is in order.

Quantitative EEG

Quantitative EEG (qEEG) is a method of analyzing electrical activity of the brain and drawing comparisons between an individual and representative population. It involves the application of mathematical formulas and algorithms to traditional EEG, in order to derive quantitative patterns that correspond to diagnostic information and/or cognitive deficits. Patterns can be based on topographical organization (i.e. the location of specific patterns plotted on the surface of the scalp), amplitude, or spectral analysis (i.e. the presence of specific frequencies of EEG, either in isolation or in ratio to other frequencies). As these factors are influenced by the recording techniques utilized, some attention must be paid to basic electrophysiology and methods for acquiring information about cortical activity, in order to appreciate the issues inherent in qEEG research.

Information about the behavior of neural pathways can provide valuable insight into the functioning of an organism. Cortical activity has been identified as one means for gaining such insight.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2007

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

American Academy of Pediatrics Committee on Quality Improvement and Subcommittee on Attention-Deficit/Hyperactivity Disorder. (2000). Diagnosis and evaluation of the child with attention-deficit/hyperactivity disorder. Pediatrics, 105, 1158–70.CrossRef
American Psychiatric Association. (1994). Diagnostic and Statistical Manual of Mental Disorders, 4th edn. Washington, DC: Author.
American Psychiatric Association. (2001). Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision. Washington, DC: Author.
Ballaban-Gil, K. & Tuchman, R. (2000). Epilepsy and epileptiform EEG: Association with autism and language disorders. Mental Retardation Developmental Disability Research Review, 6, 300–8.3.0.CO;2-R>CrossRefGoogle ScholarPubMed
Barkley, R. A., DuPaul, G. J. & McMurray, M. B. (1990). Comprehensive evaluation of attention deficit disorder with and without hyperactivity as defined by research criteria. Journal of Consulting and Clinical Psychology, 58, 775–89.CrossRefGoogle ScholarPubMed
Barnea, A., Rassis, A. & Zaidel, E. (2005). Effect of neurofeedback on hemispheric word recognition. Brain and Cognition, 59, 314–21.CrossRefGoogle ScholarPubMed
Barry, R. J., Johnstone, S. J. & Clarke, A. R. (2003). A review of electrophysiology in attention-deficit/hyperactivity disorder: II. Event-related potentials. Clinical Neurophysiology, 114, 184–98.CrossRefGoogle ScholarPubMed
Baumgartner, C. (1994). EEG dipole localization: Discussion. Acta Neurologica Scandanavia Supplement, 152, 31–2.CrossRefGoogle ScholarPubMed
Boutros, N., Fraenkel, L. & Feingold, A. (2005). A four-step approach for developing diagnostic tests in psychiatry: EEG in ADHD as a test case. Journal of Neuropsychiatry and Clinical Neuroscience, 17, 455–64.CrossRefGoogle ScholarPubMed
Cantor, D. S., Thatcher, R. W., Hrybyk, M. & Kaye, H. (1986). Computerized EEG analyses of autistic children. Journal of Autism and Developmental Disorders, 16, 169–87.CrossRefGoogle ScholarPubMed
Chabot, R. J., di Michele, F. & Prichep, L. (2005). The role of quantitative electroencephalography in child and adolescent psychiatric disorders. Child and Adolescent Psychiatry Clinics of North America, 14, 21–53, v–vi.CrossRefGoogle ScholarPubMed
Chabot, R. J., di Michele, F., Prichep, L. & John, E. R. (2001). The clinical role of computerized EEG in the evaluation and treatment of learning and attention disorders in children and adolescents. Journal of Neuropsychiatry and Clinical Neuroscience, 13, 171–86.CrossRefGoogle ScholarPubMed
Chabot, R. J., Merkin, H., Wood, L. M., Davenport, T. L. & Serfontein, G. (1996). Sensitivity and specificity of QEEG in children with attention deficit or specific developmental learning disorders. Clinical Electroencephalography, 27, 26–34.CrossRefGoogle ScholarPubMed
Chabot, R. J., Orgill, A. A., Crawford, G., Harris, M. J. & Serfontein, G. (1999). Behavioral and electrophysiologic predictors of treatment response to stimulants in children with attention disorders. Journal of Child Neurology, 14, 343–51.CrossRefGoogle ScholarPubMed
Clarke, A. R., Barry, R. J., Bond, D., McCarthy, R. & Selikowitz, M. (2002). Effects of stimulant medications on the EEG of children with attention-deficit/hyperactivity disorder. Psychopharmacology (Berl), 164, 277–84.CrossRefGoogle ScholarPubMed
Coutin-Churchman, P., Anez, Y., Uzcategui, M.et al. (2003). Quantitative spectral analysis of EEG in psychiatry revisited: Drawing signs out of numbers in a clinical setting. Clinical Neurophysiology, 114, 2294–306.CrossRefGoogle Scholar
Cuffin, B. N. (1998). EEG dipole source localization. IEEE English Medical Biology Magazine, 17, 118–22.CrossRefGoogle ScholarPubMed
Dawson, G., Finley, C., Phillips, S. & Lewy, A. (1989). A comparison of hemispheric asymmetries in speech-related brain potentials of autistic and dysphasic children. Brain and Language, 37, 26–41.CrossRefGoogle ScholarPubMed
Decker, S. L., McIntosh, D. E., Kelly, A. M., Nicholls, S. K. & Dean, R. S. (2001). Comorbidity among individuals classified with attention disorders. International Journal of Neuroscience, 110, 43–54.CrossRefGoogle ScholarPubMed
Duffy, F. H., Hughes, J. R., Miranda, F., Bernad, P. & Cook, P. (1994). Status of quantitative EEG (QEEG) in clinical practice, 1994. Clinical Electroencephalography, 25, VI–XXII.CrossRefGoogle ScholarPubMed
Dykman, R. A., Holcomb, P. J., Oglesby, D. M. & Ackerman, P. T. (1982). Electrocortical frequencies in hyperactive, learning-disabled, mixed, and normal children. Biological Psychiatry, 17, 675–85.Google ScholarPubMed
Efron, D., Jarman, F. & Barker, M. (1997). Side effects of methylphenidate and dexamphetamine in children with attention deficit hyperactivity disorder: A double-blind, crossover trial. Pediatrics, 100, 662–6.CrossRefGoogle ScholarPubMed
Egner, T. & Gruzelier, J. H. (2004). EEG biofeedback of low beta band components: Frequency-specific effects on variables of attention and event-related brain potentials. Clinical Neurophysiology, 115, 131–9.CrossRefGoogle ScholarPubMed
Fuchs, T., Birbaumer, N., Lutzenberger, W., Gruzelier, J. H. & Kaiser, J. (2003). Neurofeedback treatment for attention-deficit/hyperactivity disorder in children: A comparison with methylphenidate. Applied Psychophysiology and Biofeedback, 28, 1–12.CrossRefGoogle ScholarPubMed
Gasser, T., Rousson, V. & Schreiter Gasser, U. (2003). EEG power and coherence in children with educational problems. Journal of Clinical Neurophysiology, 20, 273–82.CrossRefGoogle ScholarPubMed
Gasser, T., Verleger, R., Bacher, P. & Sroka, L. (1988). Development of the EEG of school-age children and adolescents. I. Analysis of band power. Electroencephalography and Clinical Neurophysiology, 69, 91–9.CrossRefGoogle ScholarPubMed
Hanslmayr, S., Sauseng, P., Doppelmayr, M., Schabus, M. & Klimesch, W. (2005). Increasing individual upper alpha power by neurofeedback improves cognitive performance in human subjects. Applied Psychophysiology and Biofeedback, 30, 1–10.CrossRefGoogle ScholarPubMed
Hechtman, L. (2000). Assessment and diagnosis of attention-deficit/hyperactivity disorder. Child and Adolescent Psychiatry Clinics of North America, 9, 481–98.Google ScholarPubMed
Hirshberg, L. M., Chiu, S. & Frazier, J. A. (2005). Emerging brain-based interventions for children and adolescents: Overview and clinical perspective. Child and Adolescent Psychiatry Clinics of North America, 14, 1–19, v.CrossRefGoogle ScholarPubMed
Homan, R. W., Herman, J. & Purdy, P. (1987). Cerebral location of international 10–20 system electrode placement. Electroencephalography and Clinical Neurophysiology, 66, 376–82.CrossRefGoogle ScholarPubMed
Hrdlicka, M., Komarek, V., Propper, L.et al. (2004). Not EEG abnormalities but epilepsy is associated with autistic regression and mental functioning in childhood autism. European Child and Adolescent Psychiatry, 13, 209–13.CrossRefGoogle ScholarPubMed
Hughes, J. R. & John, E. R. (1999). Conventional and quantitative electroencephalography in psychiatry. Journal of Neuropsychiatry and Clinical Neuroscience, 11, 190–208.CrossRefGoogle Scholar
Johnstone, J., Gunkelman, J. & Lunt, J. (2005). Clinical database development: Characterization of EEG phenotypes. Clinical Electroencephalography and Neuroscience, 36, 99–107.CrossRefGoogle ScholarPubMed
Kazdin, A. E. & Bass, D. (1989). Power to detect differences between alternative treatments in comparative psychotherapy outcome research. Journal of Consulting and Clinical Psychology, 57, 138–47.CrossRefGoogle ScholarPubMed
Kim, H. L., Donnelly, J. H., Tournay, A. E., Book, T. M. & Filipek, P. (2006). Absence of seizures despite high prevalence of epileptiform EEG abnormalities in children with autism monitored in a tertiary care center. Epilepsia, 47, 394–98.CrossRefGoogle Scholar
Klimesch, W. (1999). EEG alpha and theta oscillations reflect cognitive and memory performance: A review and analysis. Brain Research and Brain Research Review, 29(2–3), 169–95.CrossRefGoogle ScholarPubMed
Kozinska, D., Tarnecki, R. & Nowinski, K. (1998). Presentation of brain electrical activity distribution on its cortex surface derived from MR images. Technology and Health Care, 6, 209–24.Google ScholarPubMed
Krull, K. R., Adams, R. L. Problems in Neuropsychological Research Methodology. In Maruish, M. and Moses, J. (eds.) Clinical Neuropsychology Theoretical Foundations for Practitioners. Mahwah, NJ. Lawrence Erlbaum Associates: 1996; 371–84.Google Scholar
Lahey, B. B. & Carlson, C. L. (1991). Validity of the diagnostic category of attention deficit disorder without hyperactivity: A review of the literature. Journal of Learning Disabilities, 24, 110–20.CrossRefGoogle ScholarPubMed
Lalonde, J., Turgay, A. & Hudson, J. I. (1998). Attention-deficit hyperactivity disorder subtypes and comorbid disruptive behaviour disorders in a child and adolescent mental health clinic. Canadian Journal of Psychiatry, 43, 623–8.CrossRefGoogle Scholar
Lazzaro, I., Gordon, E., Li, W.et al. (1999). Simultaneous EEG and EDA measures in adolescent attention deficit hyperactivity disorder. International Journal of Psychophysiology, 34, 123–34.CrossRefGoogle ScholarPubMed
Lazzaro, I., Gordon, E., Whitmont, S.et al. (1998). Quantified EEG activity in adolescent attention deficit hyperactivity disorder. Clinical Electroencephalography, 29, 37–42.CrossRefGoogle ScholarPubMed
Levesque, J., Beauregard, M. & Mensour, B. (2005). Effect of neurofeedback training on the neural substrates of selective attention in children with attention-deficit/hyperactivity disorder: A functional magnetic resonance imaging study. Neurosci Lett, 394 (3): 216–21.Google Scholar
Levy, F. (1993). Side effects of stimulant use. Journal of Paediatrics and Child Health, 29, 250–4.CrossRefGoogle ScholarPubMed
Loo, S. K. & Barkley, R. A. (2005). Clinical utility of EEG in attention deficit hyperactivity disorder. Applied Neuropsychology, 12, 64–76.CrossRefGoogle ScholarPubMed
Lubar, J. F. (1997). Neocortical dynamics: Implications for understanding the role of neurofeedback and related techniques for the enhancement of attention. Applied Psychophysiology and Biofeedback, 22, 111–26.CrossRefGoogle Scholar
Matsuura, M., Okubo, Y., Toru, M.et al. (1993). A cross-national EEG study of children with emotional and behavioral problems: A WHO collaborative study in the Western Pacific Region. Biological Psychiatry, 34, 59–65.CrossRefGoogle ScholarPubMed
Michel, C. M., Lehmann, D., Henggeler, B. & Brandeis, D. (1992). Localization of the sources of EEG delta, theta, alpha and beta frequency bands using the FFT dipole approximation. Electroencephalography and Clinical Neurophysiology, 82, 38–44.CrossRefGoogle ScholarPubMed
Monastra, V. J. (2005). Electroencephalographic biofeedback (neurotherapy) as a treatment for attention deficit hyperactivity disorder: Rationale and empirical foundation. Child and Adolescent Psychiatry Clinics of North America, 14, 55–82, vi.CrossRefGoogle ScholarPubMed
Monastra, V. J., Lubar, J. F. & Linden, M. (2001). The development of a quantitative electroencephalographic scanning process for attention-deficit/hyperactivity disorder: Reliability and validity studies. Neuropsychology, 15, 136–44.CrossRefGoogle ScholarPubMed
Monastra, V. J., Lubar, J. F., Linden, M.et al. (1999). Assessing attention deficit hyperactivity disorder via quantitative electroencephalography: An initial validation study. Neuropsychology, 13, 424–33.CrossRefGoogle ScholarPubMed
Monastra, V. J., Lynn, S., Linden, M.et al. (2005). Electroencephalographic biofeedback in the treatment of attention-deficit/hyperactivity disorder. Applied Psychophysiology and Biofeedback, 30, 95–114.CrossRefGoogle ScholarPubMed
Monastra, V. J., Monastra, D. M. & George, S. (2002). The effects of stimulant therapy, EEG biofeedback, and parenting style on the primary symptoms of attention-deficit/hyperactivity disorder. Applied Psychophysiology and Biofeedback, 27, 231–49.CrossRefGoogle ScholarPubMed
Myslobodsky, M. S., Coppola, R., Bar-Ziv, J. & Weinberger, D. R. (1990). Adequacy of the International 10–20 electrode system for computed neurophysiologic topography. Journal of Clinical Neurophysiology, 7, 507–18.CrossRefGoogle ScholarPubMed
Nolan, E. E., Gadow, K. D. & Sprafkin, J. (2001). Teacher reports of DSM-IV ADHD, ODD, and CD symptoms in schoolchildren. Journal of the American Academy of Child and Adolescent Psychiatry, 40, 241–9.CrossRefGoogle ScholarPubMed
Nuwer, M. R. (1997). Assessment of digital EEG, quantitative EEG, and EEG brain mapping: Report of the American Academy of Neurology and the American Clinical Neurophysiology Society. Neurology, 49, 277–92.CrossRefGoogle ScholarPubMed
Nuwer, M. R. (1998). Assessing digital and quantitative EEG in clinical settings. Journal of Clinical Neurophysiology, 15, 458–63.CrossRefGoogle ScholarPubMed
Ozge, A., Toros, F. & Comelekoglu, U. (2004). The role of hemispheral asymmetry and regional activity of quantitative EEG in children with stuttering. Child Psychiatry and Human Development, 34, 269–80.CrossRefGoogle ScholarPubMed
Petsche, H., Kaplan, S., Stein, A. & Filz, O. (1997). The possible meaning of the upper and lower alpha frequency ranges for cognitive and creative tasks. International Journal of Psychophysiology, 26, 77–97.CrossRefGoogle ScholarPubMed
Pliszka, S. R. (1998). Comorbidity of attention-deficit/hyperactivity disorder with psychiatric disorder: An overview. Journal of Clinical Psychiatry, 59 (Suppl 7), 50–8.Google ScholarPubMed
Pliszka, S. R. (2000). Patterns of psychiatric comorbidity with attention-deficit/hyperactivity disorder. Child and Adolescent Psychiatry Clinics of North America, 9, 525–40, vii.Google ScholarPubMed
Rossi, P. G., Parmeggiani, A., Bach, V., Santucci, M. & Visconti, P. (1995). EEG features and epilepsy in patients with autism. Brain Development, 17, 169–74.CrossRefGoogle ScholarPubMed
Rossiter, T. (2004). The effectiveness of neurofeedback and stimulant drugs in treating ADHD: Part I. Review of methodological issues. Applied Psychophysiology and Biofeedback, 29, 95–112.CrossRefGoogle ScholarPubMed
Schimpf, P. H., Ramon, C. & Haueisen, J. (2002). Dipole models for the EEG and MEG. IEEE Translational Biomedical Engineering, 49, 409–18.CrossRefGoogle ScholarPubMed
Schubiner, H., Tzelepis, A., Isaacson, J. H.et al. (1995). The dual diagnosis of attention-deficit/hyperactivity disorder and substance abuse: Case reports and literature review. Journal of Clinical Psychiatry, 56, 146–50.Google ScholarPubMed
Song, D. H., Shin, D. W., Jon, D. I. & Ha, E. H. (2005). Effects of methylphenidate on quantitative EEG of boys with attention-deficit hyperactivity disorder in continuous performance test. Yonsei Medical Journal, 46, 34–41.CrossRefGoogle ScholarPubMed
Stok, C. J. (1987). The influence of model parameters on EEG/MEG single dipole source estimation. IEEE Translational Biomedical Engineering, 34, 289–96.CrossRefGoogle ScholarPubMed
Tot, S., Ozge, A., Comelekoglu, U., Yazici, K. & Bal, N. (2002). Association of QEEG findings with clinical characteristics of OCD: Evidence of left frontotemporal dysfunction. Canadian Journal of Psychiatry, 47, 538–45.CrossRefGoogle ScholarPubMed
Wieringa, H. J., Peters, M. J. & Lopes da Silva, F. H. (1993). The estimation of a realistic localization of dipole layers within the brain based on functional (EEG, MEG) and structural (MRI) data: A preliminary note. Brain Topography, 5, 327–30.CrossRefGoogle ScholarPubMed
Yvert, B., Bertrand, O., Thevenet, M., Echallier, J. F. & Pernier, J. (1997). A systematic evaluation of the spherical model accuracy in EEG dipole localization. Electroencephalography and Clinical Neurophysiology, 102, 452–9.CrossRefGoogle ScholarPubMed

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×