{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T15:45:13Z","timestamp":1781883913339,"version":"3.54.5"},"reference-count":45,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T00:00:00Z","timestamp":1766966400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T00:00:00Z","timestamp":1766966400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Dyslexia"],"published-print":{"date-parts":[[2026,2]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Dyslexia, impacting children's reading skills, prompts families to seek cost\u2010effective neurofeedback therapy solutions. Utilising machine learning, we identified predictive factors for dyslexia classification. Employing advanced techniques, we gathered 14\u2010channel Quantitative Electroencephalography (QEEG) data from 200 participants, achieving 99.6% dyslexic classification accuracy through cross\u2010validation. During validation, 48% of dyslexic children's sessions were consistently classified as normal, with a 95% confidence interval of 47.31 to 48.68. Focusing on individuals consistently diagnosed with dyslexia during therapy, we found that dyslexic individuals exhibited higher theta values and lower beta1 values compared to typically developing children. This study pioneers machine learning in predicting dyslexia classification factors, offering valuable insights for families considering neurofeedback therapy investment.<\/jats:p>","DOI":"10.1002\/dys.70021","type":"journal-article","created":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T08:30:32Z","timestamp":1766997032000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Theta and Beta1 Frequency Band Values Predict Dyslexia Classification"],"prefix":"10.1002","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8382-8417","authenticated-orcid":false,"given":"G\u00fcnet","family":"Ero\u011flu","sequence":"first","affiliation":[{"name":"Computer Engineering, Faculty of Engineering and Natural Sciences Bah\u00e7e\u015fehir University  Istanbul Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8637-5473","authenticated-orcid":false,"given":"Mhd Raja","family":"Abou Harb","sequence":"additional","affiliation":[{"name":"Computer Engineering, Faculty of Engineering and Natural Sciences I\u015f\u0131k University  Istanbul Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,12,29]]},"reference":[{"key":"e_1_2_15_2_1","doi-asserted-by":"publisher","DOI":"10.1176\/appi.books.9780890425596"},{"key":"e_1_2_15_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.biopsycho.2013.11.013"},{"key":"e_1_2_15_4_1","doi-asserted-by":"publisher","DOI":"10.1142\/S0219635207001404"},{"key":"e_1_2_15_5_1","doi-asserted-by":"publisher","DOI":"10.7717\/peerj.38"},{"key":"e_1_2_15_6_1","doi-asserted-by":"publisher","DOI":"10.1097\/01.wnr.0000134843.33260.bf"},{"key":"e_1_2_15_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ridd.2012.09.002"},{"key":"e_1_2_15_8_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.1128115"},{"key":"e_1_2_15_9_1","doi-asserted-by":"publisher","DOI":"10.1002\/dys.1534"},{"key":"e_1_2_15_10_1","doi-asserted-by":"publisher","DOI":"10.1080\/21622965.2021.1908897"},{"key":"e_1_2_15_11_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.aag3194"},{"key":"e_1_2_15_12_1","doi-asserted-by":"publisher","DOI":"10.3390\/s21217061"},{"key":"e_1_2_15_13_1","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2018.00341"},{"key":"e_1_2_15_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-4422(02)00221-1"},{"key":"e_1_2_15_15_1","unstructured":"Frid A. andL. 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