| dc.contributor.author | Erguzel, Turker Tekin | |
| dc.contributor.author | Ozekes, Serhat | |
| dc.contributor.author | Gultekin, Selahattin | |
| dc.contributor.author | Tarhan, Nevzat | |
| dc.contributor.author | Sayar, Gokben Hizli | |
| dc.contributor.author | Bayram, ALİ | |
| dc.date.accessioned | 2021-03-03T13:06:02Z | |
| dc.date.available | 2021-03-03T13:06:02Z | |
| dc.date.issued | 2015 | |
| dc.identifier.citation | Erguzel T. T. , Ozekes S., Gultekin S., Tarhan N., Sayar G. H. , Bayram A., "Neural Network Based Response Prediction of rTMS in Major Depressive Disorder Using QEEG Cordance", PSYCHIATRY INVESTIGATION, cilt.12, sa.1, ss.61-65, 2015 | |
| dc.identifier.issn | 1738-3684 | |
| dc.identifier.other | vv_1032021 | |
| dc.identifier.other | av_31fd36e2-3ab9-4ef3-a047-1dd3e2bf309f | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12627/37962 | |
| dc.identifier.uri | https://doi.org/10.4306/pi.2015.12.1.61 | |
| dc.description.abstract | Objective The combination of repetitive transcranial magnetic stimulation (rTMS), a non-pharmacological form of therapy for treating major depressive disorder (MDD), and electroencephalogram (EEG) is a valuable tool for investigating the functional connectivity in the brain. This study aims to explore whether pre-treating frontal quantitative EEG (QEEG) cordance is associated with response to rTMS treatment among MDD patients by using an artificial intelligence approach, artificial neural network (ANN). | |
| dc.language.iso | eng | |
| dc.subject | Klinik Tıp (MED) | |
| dc.subject | Psikiyatri | |
| dc.subject | Sağlık Bilimleri | |
| dc.title | Neural Network Based Response Prediction of rTMS in Major Depressive Disorder Using QEEG Cordance | |
| dc.type | Makale | |
| dc.relation.journal | PSYCHIATRY INVESTIGATION | |
| dc.contributor.department | Üsküdar Üniversitesi , , | |
| dc.identifier.volume | 12 | |
| dc.identifier.issue | 1 | |
| dc.identifier.startpage | 61 | |
| dc.identifier.endpage | 65 | |
| dc.contributor.firstauthorID | 102787 | |
