Auto Train Brain increases the variance of the gamma band sample entropy in the left hemisphere in dyslexia: a pilot study
dc.authorid | 0000-0001-8382-8417 | |
dc.contributor.author | Eroğlu, Günet | en_US |
dc.date.accessioned | 2023-03-06T11:21:14Z | |
dc.date.available | 2023-03-06T11:21:14Z | |
dc.date.issued | 2023 | |
dc.department | Işık Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü | en_US |
dc.department | Işık University, Faculty of Engineering and Natural Sciences, Department of Computer Engineering | en_US |
dc.description.abstract | Auto Train Brain is a mobile app that improves reading speed and reading comprehension in dyslexia. The efficacy of Auto Train Brain was proven with a clinical trial. We have analyzed the long-term training effects of the Auto Train Brain on dyslexic children. We have collected QEEG data from 14 channels from 21 dyslexic children for 100 sessions and calculated the sample entropy in the gamma bands for the left posterior brain (T7, P7, and O1). Although the gamma band values fluctuate and no permanent increase in the gamma band values is detected after Auto Train Brain training at T7, P7, and O1, the variance of gamma band sample entropy increases as the neurofeedback session number increases. We have concluded that the Auto Train Brain increases the flexibility of the left brain in dyslexia. | en_US |
dc.description.version | Publisher's Version | en_US |
dc.identifier.citation | Eroğlu, G. (2023). Auto Train Brain increases the variance of the gamma band sample entropy in the left hemisphere in dyslexia: a pilot study. Paper presented at the 6th World Conference on Smart Trends in Systems, Security and Sustainability, 578, 471-477. doi:10.1007/978-981-19-7660-5_40 | en_US |
dc.identifier.doi | 10.1007/978-981-19-7660-5_40 | |
dc.identifier.endpage | 477 | |
dc.identifier.isbn | 9789811976599 | |
dc.identifier.issn | 2367-3370 | |
dc.identifier.scopus | 2-s2.0-85147990648 | |
dc.identifier.scopusquality | Q4 | |
dc.identifier.startpage | 471 | |
dc.identifier.uri | https://hdl.handle.net/11729/5422 | |
dc.identifier.uri | http://dx.doi.org/10.1007/978-981-19-7660-5_40 | |
dc.identifier.volume | 578 | |
dc.indekslendigikaynak | Scopus | en_US |
dc.institutionauthor | Eroğlu, Günet | en_US |
dc.institutionauthorid | 0000-0001-8382-8417 | |
dc.language.iso | en | en_US |
dc.peerreviewed | Yes | en_US |
dc.publicationstatus | Published | en_US |
dc.publisher | Springer Science and Business Media Deutschland GmbH | en_US |
dc.relation.ispartof | Lecture Notes in Networks and Systems | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Auto Train Brain | en_US |
dc.subject | Neurofeedback | en_US |
dc.subject | Sample entropy | en_US |
dc.title | Auto Train Brain increases the variance of the gamma band sample entropy in the left hemisphere in dyslexia: a pilot study | en_US |
dc.type | Conference Object | en_US |
dspace.entity.type | Publication |
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