https://m2.mtmt.hu/ hun 2026-10-23 16:50 JournalArticle 37493886 APPROVED true 0 false 2026-09-03T07:53:53.487+0000 2026-09-03T07:52:02.442+0000 2026-09-03T07:51:53.647+0000 true 10062250 Molnár-Taga Márta /api/admin/10062250 Admin true 10062250 2026-09-03T07:52:02.458+0000 2026-09-03T07:52:02.458+0000 true true true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle true 10000059 Article true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle /api/subtype/10000059 Szakcikk SubType 101 true 10000059 true 1 /api/category/1 Category true 1 Racz, Frigyes Samuel Information leakage and performance overestimation in EEG-based schizophrenia detection: evidence from literature and empirical analyses true true /api/journal/10033111 REVIEWED true false 10033111 false 10033111 true 2158-3188 2158-3188 Journal FOREIGN 2026 Detecting schizophrenia (SZ) from electroencephalography (EEG) signals using machine- and deep learning models gained traction lately due to potential utility in early disease detection and differential diagnosis. Classification performance reports in the range of 95% accuracy and above are common; however, review of state-of-the-art literature indicates that ~65% of published works involve erroneous practices in the evaluation pipeline such as epoch- instead of subject-based data splitting or ranking and selecting features before data partitioning. The consequent information leakage can result in an overestimation of SZ detection performance. Here we explicitly test this on three open SZ-EEG datasets using gold standard classification approaches in leaky and leakage-free implementations. Results indicate that information leakage can inflate SZ classification accuracy by up to ~30%. Accordingly, best practices regarding EEG-based SZ detection must be established and promoted before this technology can be further developed into a clinical decision-making tool. Funding 2070704 /api/funding/2070704 false true true 2026 true true true false true false GOLD 2026-09-03 false http://www.nature.com/tp/index.html 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 D1 false false false false 2026-12-02T08:52:02.261+0000 Pszichiátriai és Pszichoterápiás Klinika (SE / AOK / K); Élettani Intézet (SE / AOK / I) 2 15 2 2 0 true Language 10002 /api/language/10002 Angol English true 2 true PersonAuthorship 141523387 /api/authorship/141523387 1 0.5 true false true Author 10059431 /api/author/10059431 Rácz Frigyes Sámuel true 10059431 true Racz Frigyes Samuel true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 141523388 /api/authorship/141523388 2 0.5 false true true Author 10023954 /api/author/10023954 Csukly Gábor true 10023954 true Csukly Gabor true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PublicationIdentifier 32935068 /api/publicationidentifier/32935068 PlainSource 6 /api/publicationsource/6 PublicationSourceType 10001 /api/publicationsourcetype/10001 true true true DOI DOI https://doi.org/@@@ true true 6 true 10.1038/s41398-026-04315-9 https://doi.org/10.1038/s41398-026-04315-9 false true SjrRating 11714242 /api/sjrrating/11714242 4 0.1 journal RatingType 10002 /api/ratingtype/10002 sjr true true ClassificationExternal 2803 /api/classificationexternal/2803 true 2803 true D1 FROM_LAST_YEAR true true /api/publication/37493886 <div class="JournalArticle Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <div class="autype autype0"> <span class="author-name" mtid="10059431"><a href="/gui2/?type=authors&mode=browse&sel=10059431" target="_blank">Racz Frigyes Samuel ✉ (<span class="authorship-author-name">Rácz Frigyes Sámuel</span> <span class="authorAux-mtmt"> Élettan</span>) </a> </span> <span class="author-affil"><span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Intézet">I</span>/Élettani Intézet</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10023954"><a href="/gui2/?type=authors&mode=browse&sel=10023954" target="_blank">Csukly Gabor ✉ (<span class="authorship-author-name">Csukly Gábor</span> <span class="authorAux-mtmt"> Pszichiátria</span>) </a> </span> <span class="author-affil"><span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Klinikum">K</span>/Pszichiátriai és Pszichoterápiás Klinika</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;37493886" target="_blank">Information leakage and performance overestimation in EEG-based schizophrenia detection: evidence from literature and empirical analyses</a></div> <div> <span class="journal-title">TRANSLATIONAL PSYCHIATRY</span> <span class="journal-issn">(<a target="_blank" href="https://portal.issn.org/resource/ISSN/2158-3188">2158-3188</a> <a target="_blank" href="https://portal.issn.org/resource/ISSN/2158-3188">2158-3188</a>)</span>: <span class="journal-volume"></span> <span class="page"> </span> <span class="year">(2026)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:black" title="10.1038/s41398-026-04315-9" target="_blank" href="https://doi.org/10.1038/s41398-026-04315-9"> DOI </a> </span> </span> <OnlyViewableByAuthor><div class="ratings"> <div class="journal-subject">Folyóirat szakterülete: Scopus - Biological Psychiatry&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;D1</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Psychiatry and Mental Health&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;D1</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Cellular and Molecular Neuroscience&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q1</div> </div></OnlyViewableByAuthor> <div class="mtid"><span class="long-pub-mtid">Közlemény: 37493886</span> | <span class="status-data status-APPROVED"> Nyilvános </span> Forrás | <span class="type-subtype">Folyóiratcikk ( Szakcikk ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData"></span> </div> <div class="funder"> (Open access funding provided by Semmelweis University) </div> <div class="lastModified">Utolsó módosítás: 2026.09.03. 09:52 Molnár-Taga Márta (SE 4-es admin) </div> </div></div>