Neural Network Based Response Prediction of rTMS in Major Depressive Disorder Using QEEG Cordance
PSYCHIATRY INVESTIGATION, cilt.12, sa.1, ss.61-65, 2015 (SCI-Expanded, SSCI, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 12 Sayı: 1
- Basım Tarihi: 2015
- Doi Numarası: 10.4306/pi.2015.12.1.61
- Dergi Adı: PSYCHIATRY INVESTIGATION
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus
- Sayfa Sayıları: ss.61-65
- Anahtar Kelimeler: Major depressive disorder, Transcranial magnetic stimulation, Electroencephalography, Neural network, TRANSCRANIAL MAGNETIC STIMULATION, ANTIDEPRESSANT TREATMENT, MACHINE, PERFUSION, EFFICACY
- Marmara Üniversitesi Adresli: Hayır
Özet
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).