Training in EEG Neurofeedback: Predicting Successful Treatment

dc.contributor.advisorFillmore, Paul
dc.contributor.authorJones, Kaitlin
dc.contributor.departmentBiology.en_US
dc.contributor.schoolsHonors College.en_US
dc.date.accessioned2019-05-20T14:48:47Z
dc.date.available2019-05-20T14:48:47Z
dc.date.copyright2019
dc.date.issued2019-05-20
dc.description.abstractEEG neurofeedback treatment (NFT) has proved useful in the rehabilitation and treatment of many disorders including autism, attention disorders, epilepsy, traumatic-brain injury, and dyslexia, among others, and it is currently being explored for use in treatment of language disorders. However, multiple studies have shown the inability of some patients to respond to treatment, and there is currently no accepted explanation for this phenomenon. This highlights the importance of developing methods to assess individualized treatment response, and ways to better understand the factors that may lead to treatment inefficacy in some patients. This paper reviews the recent research on neurofeedback treatment, focusing on predictors for both successful and unsuccessful treatment outcomes such as the current state of the patient, various traits of the patient, and varying neurofeedback methods. This literature is discussed in the context of an ongoing study at Baylor focused on developing prospective assessments which estimate the likelihood of NFT treatment success before beginning therapy. By understanding the mechanisms of successful brain regulation through neurofeedback training and adapting treatment to each patient, significant changes in a patient’s quality of life can be observed. Furthermore, increasing the efficacy of neurofeedback can have lasting implications for patients with cognitive and language disorders, through reducing symptoms, and enhancing overall intellectual and social performance.en_US
dc.identifier.urihttps://hdl.handle.net/2104/10538
dc.language.isoen_USen_US
dc.rightsBaylor University projects are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. Contact libraryquestions@baylor.edu for inquiries about permission.en_US
dc.rights.accessrightsWorldwide access.en_US
dc.rights.accessrightsAccess changed 8/16/21.
dc.subjectEEG.en_US
dc.subjectNeurofeedback.en_US
dc.subjectBiofeedback.en_US
dc.titleTraining in EEG Neurofeedback: Predicting Successful Treatmenten_US
dc.typeThesisen_US

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