{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:30:16Z","timestamp":1772119816832,"version":"3.50.1"},"reference-count":41,"publisher":"MDPI AG","issue":"22","license":[{"start":{"date-parts":[[2024,11,9]],"date-time":"2024-11-09T00:00:00Z","timestamp":1731110400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Diagnostics"],"abstract":"<jats:p>Background\/Objectives: In this study, a medical decision support system is presented to assist physicians in epileptic focus detection by correlating MRI and EEG data of temporal lobe epilepsy patients. Methods: By exploiting the asymmetry in the hippocampus in MRI images and using voxel-based morphometry analysis, gray matter reduction in the temporal and limbic lobes is detected, and epileptic focus prediction is realized. In addition, an epileptic focus is also determined by calculating the asymmetry score from EEG channels. Finally, epileptic focus detection was performed by associating MRI and EEG data with a decision tree. Results: The results obtained from the proposed algorithm provide 100% overlap with the physician\u2019s finding on the EEG data. Conclusions: MRI and EEG correlation in epileptic focus detection was improved compared with physicians. The proposed algorithm can be used as a medical decision support system for epilepsy diagnosis, treatment, and surgery planning.<\/jats:p>","DOI":"10.3390\/diagnostics14222509","type":"journal-article","created":{"date-parts":[[2024,11,11]],"date-time":"2024-11-11T08:46:54Z","timestamp":1731314814000},"page":"2509","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Temporal Lobe Epilepsy Focus Detection Based on the Correlation Between Brain MR Images and EEG Recordings with a Decision Tree"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3698-6137","authenticated-orcid":false,"given":"Cansel","family":"Ficici","sequence":"first","affiliation":[{"name":"Department of Electrical and Electronics Engineering, Ankara University, 06830 Ankara, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ziya","family":"Telatar","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, Ba\u015fkent University, 06790 Ankara, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4640-6570","authenticated-orcid":false,"given":"Osman","family":"Erogul","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, TOBB University of Economics and Technology, 06560 Ankara, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8240-4046","authenticated-orcid":false,"given":"Onur","family":"Kocak","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, Ba\u015fkent University, 06790 Ankara, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,11,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Ficici, C., Telatar, Z., and Ero\u011ful, O. 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