Neural Network Based Response Prediction of rTMS in Major Depressive Disorder Using QEEG Cordance

Erguzel T. T., Ozekes S., Gultekin S., Tarhan N., Sayar G. H., Bayram A.

PSYCHIATRY INVESTIGATION, cilt.12, sa.1, ss.61-65, 2015 (SCI-Expanded) identifier identifier identifier

  • 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
  • İstanbul 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).