Abstract
Children with learning disabilities (LD) frequently have an EEG characterized by an excess of theta and a deficit of alpha activities. NFB using an auditory stimulus as reinforcer has proven to be a useful tool to treat LD children by positively reinforcing decreases of the theta/alpha ratio. The aim of the present study was to optimize the NFB procedure by comparing the efficacy of visual (with eyes open) versus auditory (with eyes closed) reinforcers. Twenty LD children with an abnormally high theta/alpha ratio were randomly assigned to the Auditory or the Visual group, where a 500 Hz tone or a visual stimulus (a white square), respectively, was used as a positive reinforcer when the value of the theta/alpha ratio was reduced. Both groups had signs consistent with EEG maturation, but only the Auditory Group showed behavioral/cognitive improvements. In conclusion, the auditory reinforcer was more efficacious in reducing the theta/alpha ratio, and it improved the cognitive abilities more than the visual reinforcer.
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References
American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders (4th ed., pp. 56–64), Text Revision (DSM-IV-TR).
Becerra, J., Fernández, T., Harmony, T., Caballero, M. I., García, F., Fernández-Bouzas, A., et al. (2006). Follow-up study of learning-disabled children treated with neurofeedback or placebo. Clinical EEG and Neuroscience, 37, 198–203.
Bernal, J., Harmony, T., Rodríguez, M., Reyes, A., Yáñez, G., Fernández, T., et al. (2000). Auditory event-related potentials in poor readers. International Journal of Psychophysiology, 36, 11–23.
Booth, J. R., Bebko, G., Burman, D. D., & Bitan, T. (2007). Children with reading disorder show modality independent brain abnormalities during semantic tasks. Neuropsychologia, 45, 775–783.
Breteler, M. H., Arns, M., Peters, S., Giepmans, I., & Verhoeven, L. (2010). Improvements in spelling after QEEG-based neurofeedback in dyslexia: A randomized controlled treatment study. Applied Psychophysiology and Biofeedback, 35, 5–11. doi:10.1007/s10484-009-9105-2.
Bueno, V. F., & Ribeiro do Valle, L. E. (2012). Effects of visual and auditory stimuli in a choice reaction time task. Psychology & Neuroscience, 5, 199–2015. doi:10.3922/j.psns.2012.2.10.
Cantor, D. S., & Chabot, R. (2009). QEEG studies in the assessment and treatment of childhood disorders. Clinical EEG and Neuroscience, 40, 113–121. Review.
Catts, H. W., Gillispie, M., Leonard, L. B., Kail, R. V., & Miller, C. A. (2002). The role of speed of processing, rapid naming, and phonological awareness in reading achievement. Journal of Learning Disabilities, 35, 509–524.
Chabot, R. J., di Michele, F., & John, E. R. (2001). The clinical role of computerized EEG in the evaluation and treatment of learning and attention disorders in children and adolescents. The Journal of Neuropsychiatry & Clinical Neurosciences, 13, 171–186.
Chabot, R. J., di Michele, F., & Prichep, L. (2005). The role of quantitative electroencephalography in child and adolescent psychiatric disorders. Child & Adolescent Psychiatric Clinics of North America, 14, 21–53.
Chabot, R. J., & Serfontein, G. (1996). Quantitative EEG profiles of children with attention deficit disorder. Biological Psychiatry, 40, 951–963.
Cummings, G. (2014). The new statistics: Why and how. Psychological Science, 25, 7–29.
Díaz de León, A. E., Harmony, T., Marosi, E., Becker, J., & Alvarez, A. (1988). Effect of different factors on EEG spectral parameters. International Journal of Neuroscience, 43, 123–131.
Fernández, T., Harmony, T., Fernández-Bouzas, A., Díaz-Comas, L., Prado-Alcalá, R. A., Valdés-Sosa, P., et al. (2007). Changes in EEG current sources induced by neurofeedback in learning disabled children. An exploratory study. Applied Psychophysiology and Biofeedback, 32, 169–183.
Fernández, T., Harmony, T., Fernández-Bouzas, A., Silva, J., Herrera, W., Santiago-Rodríguez, E., & Sánchez, L. (2002). Sources of EEG activity in learning disabled children. Clinical Electroencephalography, 33, 160–164.
Fernández, T., Herrera, W., Harmony, T., Díaz-Comas, L., Santiago, E., Sánchez, L., et al. (2003). EEG and behavioral changes following neurofeedback treatment in learning disabled children. Clinical Electroencephalography, 43, 145–152.
Fonseca, L. C., Tedrus, G. M., Chiodi, M. G., Cerqueira, J. N., & Tonelotto, J. M. (2006). Quantitative EEG in children with learning disabilities: Analysis of band power. Archivos de Neuropsiquiatría, 64, 376–381.
Galán, L., Biscay, R., Rodríguez, J. L., Pérez-Avalo, M. C., & Rodríguez, R. (1997). Testing topographic differences between event related brain potentials by using non-parametric combinations of permutation tests. Electroencephalography and Clinical Neurophysiology, 102, 240–247.
Gasser, T., Rousson, V., & Scheiter Gasser, U. (2003). EEG power and coherence in children with educational problems. Clinical Neurophysiology, 20, 273–282.
Harmony, T., Hinojosa, G., Marosi, E., Becquer, J., Rodríguez, M., Reyes, A., & Rocha, C. (1990). Correlation between EEG spectral parameters and an educational evaluation. International Journal of Neuroscience, 54, 147–155.
Hernández, J. L., Valdés, P., Biscay, R., Virués, T., Szava, S., Bosch, J., et al. (1994). A global scale factor in brain topography. International Journal of Neuroscience, 76, 267–278.
Holcomb, P. J., Ackerman, P. T., & Dykman, R. A. (1986). Auditory event-related potentials in attention and reading disabled boys. International Journal of Psychophysiology, 3, 263–273.
Iglesias, A., & Derman, B. (1985). Prueba de lecto-escritura. México, DF: Ed. Progreso.
John, E. R., Ahn, H., Prichep, L., Trepetin, M., Brown, D., & Kaye, H. (1980). Developmental equations for the electroencephalogram. Science, 1980(210), 1255–1258.
John, E. R., Prichep, L., Ahn, H., Easton, P., Fridman, J., & Kaye, H. (1983). Neurometric evaluation of cognitive dysfunctions and neurological disorders in children. Progress in Neurobiology, 21, 239–290.
Leark, R. A., Dupuy, T. R., Greenberg, L. M., Corman, C. L., & Kindschi, C. L. (1999). T.O.V.A. professional guide. Los Alamitos, CA: Universal Attention Disorders Inc.
Liu, L., Vira, A., Friedman, E., Minas, J., Bolger, D., Bitan, T., & Booth, J. (2010). Children with reading disability show brain differences in effective connectivity for visual, but not auditory word comprehension. PLoS One, 25, e13492.
Lubar, J. F., Swartwood, M. O., Swartwood, J. N., & O’Donnell, P. H. (1995). Evaluation of the effectiveness of EEG neurofeedback training for ADHD in a clinical setting as measured by changes in T.O.V.A. scores, behavioral ratings, and WISC-R performance. Biofeedback and Self Regulation, 20, 83–99.
Matousek, M., & Petersén, I. (1971). Frequency analysis of EEG registrations in normal children 1–16 years old. Nordisk Medicin, 85, 637–638.
McAuley, J. D., & Henry, M. J. (2010). Modality effects in rhythm processing: Auditory encoding of visual rhythms is neither obligatory nor automatic. Attention, Perception, & Psychophysics, 72, 1377–1389.
Nazari, M. A., Mosanezhad, E., Hashemi, T., & Jahan, A. (2012). The effectiveness of neurofeedback training on EEG coherence and neuropsychological functions in children with reading disability. Clinical EEG and Neuroscience, 43, 315–322. doi:10.1177/1550059412451880.
Neville, H. J., Coffey, S. A., Holcomb, P. J., & Tallal, P. (1993). The neurobiology of sensory and language processing in language-impaired children. Journal of Cognitive Neuroscience, 5, 235–253. doi:10.1162/jocn.1993.5.2.235.
Ng, A. W. Y., & Chan, A. H. S. (2012). Finger response times to visual, auditory and tactile modality stimuli [Abstract]. Proceedings of the International MultiConference of Engineers and Computer Scientists, 2012, 1449–1454.
Riviello, J. J. Jr., Nordli, D. R. Jr., & Niedermeyer, E. (2011). Normal EEG and sleep: Infants to adolescents. In D. L. Schromer, & F. H. Lopes da Silva (Eds.), Niedermeyer’s electroencephalography: Basic principles, clinical applications, and related fields (6th ed., pp. 163–180). New York: Lippincott Williams & Wilkins.
Ogden, R. S., Wearden, J. H., & Jones, L. A. (2008). The remembrance of times past: Interference in temporal reference memory. Journal of Experimental Psychology: Human Perception and Performance, 34, 1524–1544.
Pain, M. T., & Hibbs, A. (2007). Sprint starts and the minimum auditory reaction time. Journal of Sport Sciences, 25, 79–86.
Pesarin, F., & Salmaso, L. (2010). Permutation tests for complex data: Theory, applications and software. UK: Wiley.
Ricardo-Garcell, J. (2004). Aportes del electroencefalograma convencional y el análisis de frecuencias para el estudio del Trastorno por Déficit de Atención. Segunda parte. Salud Mental, 27, 7–14.
Schmid, C., Büchel, C., & Rose, M. (2011). The neural basis of visual dominance in the context of audio–visual object processing. Neuroimage, 55, 304–311. Epub 2010 Nov 26.
Shelton, J., & Kumar, G. P. (2010). Comparison between auditory and visual simple reaction times. Neuroscience & Medicine, 1, 30–32.
Shenvi, D., & Balasubramanian, P. (1994). A comparative study of visual and auditory reaction times in males and females. Indian Journal of Physiology and Pharmacology, 38, 229–231.
Silva-Pereyra, J., Rivera-Gaxiola, M., Fernández, T., Díaz-Comas, L., Harmony, T., Fernández-Bouzas, A., et al. (2003). Are poor readers semantically challenged? An event-related brain potential assessment. International Journal of Psychophysiology, 49, 187–199.
Stevenson, H. W., & Wright, J. C. (1966). Child psychology. In J. B. Sidowski (Ed.), Experimental methods and instrumentation in psychology (pp. 577–605). New York: McGraw Hill.
Thompson, P. D., Colebatch, J. G., Brown, P., Rothwell, J. C., Day, B. L., Obeso, J. A., & Marsden, C. D. (1992). Voluntary stimulus sensitive jerks and jumps mimicking myoclonus or pathological startle syndromes. Movement Disorders, 7(3), 257–262.
Thompson, L., Thompson, M., & Reid, A. (2010). Neurofeedback outcomes in clients with Asperger’s syndrome. Applied Psychophysiology and Biofeedback, 35, 63–81. doi:10.1007/s10484-009-9120-3.
Valdés, P., Biscay, R., Galán, L., Bosch, J., Zsava, S., & Virués, T. (1990). High resolution spectral EEG norms topography. Brain Topography, 3, 281–282.
Valdés, P., Bosch, J., Grave, R., Hernández, J., Riera, J., Pascual, R., & Biscay, R. (1992). Frequency domain models of the EEG. Brain Topography, 4, 309–319.
Verleger, R. (1997). On the utility of P3 latency as an index of mental chronometry. Psychophysiology, 34, 131–156. Review.
Weschler, D. (1981). Manual del WISC-R Español Escala de Inteligencia Revisada para el nivel escolar. México, DF: Manual Moderno.
Yagi, Y., Coburn, K. L., Estes, K. M., & Arruda, J. E. (1999). Effects of aerobic exercise and gender on visual and auditory P300, reaction time, and accuracy. European Journal of Applied Physiology and Occupational Physiology, 80, 402–408.
Acknowledgments
The authors are grateful for the children’s and parents’ cooperation in this study. The authors also acknowledge Judith Becerra, Fabiola García, Nelson Pumariega, Héctor Belmont, Susana Angélica Castro-Chavira, Lourdes Lara, Leonor Casanova, Bertha Esquivel, Teresa Álvarez, María Elena Juárez, Eneida Porras-Kattz, and Efraín Santiago for technical assistance, Roberto A. Prado-Alcalá for his invaluable psychological comments, and Dorothy Pless for revising English style. This project was supported in part by Grants IN226001, IN204103 and IN204613 from PAPIIT; 2001 and E59 from CONCYTEQ; and 69145 and 218556 from CONACYT.
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Fernández, T., Bosch-Bayard, J., Harmony, T. et al. Neurofeedback in Learning Disabled Children: Visual versus Auditory Reinforcement. Appl Psychophysiol Biofeedback 41, 27–37 (2016). https://doi.org/10.1007/s10484-015-9309-6
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DOI: https://doi.org/10.1007/s10484-015-9309-6