Abstract
Epilepsy is a chronic brain disorder characterized by recurrent seizures due to abnormally synchronized electrical discharges. Neurofeedback (NFB) is an operative conditioning technique used to reinforce or inhibit specific frequencies of electroencephalogram (EEG) activity. Augmentation of the sensorimotor rhythm (SMR) is a common neurofeedback protocol for epilepsy patients. In the present work, we aim to evaluate the espectral outcomes of a neurofeedback protocol based on SMR augmentation in refractory epilepsy patients. The participants underwent five sessions of NFB while having their EEG recorded with a 22-electrode system. The sensorimotor rhythm (SMR) before and after the NFB training differed significantly in the frontal, central electrodes, and in the channel used for training. Our results demonstrate that NFB training can improve regulation of SMR in these patients.
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References
Thijs RD et al (2019) Epilepsy in adults. The Lancet [s.l.]. ISSN: 01406736. https://doi.org/10.1016/S0140-6736(18)32596-0
Ibrahim GM, Rutka JT, Snead OC (2014) Epilepsy surgery in childhood: no longer the treatment of last resort. Can Med Assoc J 186(13):973–974
Hurt E, Arnold L, Lofthouse N (2014) Quantitative EEG neurofeedback for the treatment of pediatric attention-de cit/hyperactivity disorder, autism spectrum di-sorders, learning disorders, and epilepsy. Child Adolesc Psychiatr Clin 23(3):465–486
Moshé SL et al (2015) Epilepsy: new advances. The Lancet, [s.l.], 385(9971):884–898
Reddy J (2019) EEG Neurofeedback brain training for epilepsy to reduce seizures 7(1):6
Fisher RS et al (2005) Epileptic seizures and epilepsy: definitions proposed by the International League Against Epilepsy (ILAE) and the International Bureau for Epilepsy (IBE). Epilepsia 46(4):470–472
Weber E et al (2011) Predicting successful learning of SMR neurofeedback in healthy participants: methodological considerations. Appl Psychophysiol Biofeedback 36(1):37–45
Comon P (1994) Independent component analysis, a new concept? Signal Process 36(3):287–314
Barry Sterman M, Egner T (2006) Foundation and practice of neurofeedback for the treatment of epilepsy. Appl Psychophysiol Biofeedback 31(1). https://doi.org/10.1007/s10484-006-9002-x
Azzalini D, RebolloI, Tallon-baudry C (2019) Visceral signals shape brain dynamics and cognition. Trends Cogn Sci [s.l.], 23(6):488–509. ISSN: 13646613. https://doi.org/10.1016/j.tics.2019.03.007
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Souza, S.C., Navegantes, R.E.S., Miranda, D.S., Fiel, J.S., Pereira, A. (2022). Neurofeedback Training for Regulation of Sensorimotor Rhythm in Individuals with Refractory Epilepsy. In: Bastos-Filho, T.F., de Oliveira Caldeira, E.M., Frizera-Neto, A. (eds) XXVII Brazilian Congress on Biomedical Engineering. CBEB 2020. IFMBE Proceedings, vol 83. Springer, Cham. https://doi.org/10.1007/978-3-030-70601-2_320
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DOI: https://doi.org/10.1007/978-3-030-70601-2_320
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