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., ...More

BRAIN RESEARCH, vol.1708, pp.78-83, 2019 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 1708
  • Publication Date: 2019
  • Doi Number: 10.1016/j.brainres.2018.12.012
  • Journal Name: BRAIN RESEARCH
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.78-83
  • Keywords: Olfaction, EEG, Anosmia, Diagnosis, Shannon Entropy, Kozachenko-Leonenko entropy estimation, WAVELET ENTROPY, CLINICAL-SIGNIFICANCE, APPROXIMATE ENTROPY, MUTUAL INFORMATION, SERIES, EEG
  • Dokuz Eylül University Affiliated: Yes

Abstract

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.