Neural signatures of depression: classifying drug-naïve MDD patients with time- and frequency-domain EEG features during emotional processing
| dc.contributor.author | Sutcubasi, Bernis | |
| dc.contributor.author | Balli, Tugce | |
| dc.contributor.author | Metin, Baris | |
| dc.contributor.author | Tulay, Emine Elif | |
| dc.date.accessioned | 2025-10-16T15:11:42Z | |
| dc.date.issued | 2025 | |
| dc.identifier.doi | 10.1088/2632-2153/add4bb | |
| dc.identifier.other | WOS:001488240600001 | |
| dc.identifier.uri | https://openaccess.acibadem.edu.tr/handle/11443/4934 | |
| dc.publisher | IOP Publishing Ltd | |
| dc.source | MACHINE LEARNING-SCIENCE AND TECHNOLOGY | |
| dc.subject | emotion processing | |
| dc.subject | alpha band power | |
| dc.subject | late positive potential | |
| dc.subject | machine learning | |
| dc.subject | major depressive disorder | |
| dc.title | Neural signatures of depression: classifying drug-naïve MDD patients with time- and frequency-domain EEG features during emotional processing | |
| dc.type | Article |
