Separating normosmic and anosmic patients based on entropy evaluation of olfactory event-related potentials

GÜDÜCÜ Ç., Olcay B. O., Schaefer L., Aziz M., Schriever V. A., Ozgoren M., ...Daha Fazla

BRAIN RESEARCH, cilt.1708, ss.78-83, 2019 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 1708
  • Basım Tarihi: 2019
  • Doi Numarası: 10.1016/j.brainres.2018.12.012
  • Dergi Adı: BRAIN RESEARCH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.78-83
  • Anahtar Kelimeler: Olfaction, EEG, Anosmia, Diagnosis, Shannon Entropy, Kozachenko-Leonenko entropy estimation, WAVELET ENTROPY, CLINICAL-SIGNIFICANCE, APPROXIMATE ENTROPY, MUTUAL INFORMATION, SERIES, EEG
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

Objective: Methods based on electroencephalography (EEG) are used to evaluate brain responses to odors which is challenging due to the relatively low signal-to-noise ratio. This is especially difficult in patients with olfactory loss. In the present study, we aim to establish a method to separate functionally anosmic and normosmic individuals by means of recordings of olfactory event-related potentials (OERP) using an automated tool. Therefore, Shannon entropy was adopted to examine the complexity of the averaged electrophysiological responses.