Reliability Assessment of Denoising Methods for Change Point and Activation Detection in Lack of Ground Truth from fMRI

CANDEMİR C., GÖNÜL A. S., SELVER M. A.

2020 Innovations in Intelligent Systems and Applications Conference, ASYU 2020, İstanbul, Turkey, 15 - 17 October 2020 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/asyu50717.2020.9259803
  • City: İstanbul
  • Country: Turkey
  • Keywords: BOLD signal, denoising, emotion changes, fMRI
  • Dokuz Eylül University Affiliated: Yes

Abstract

© 2020 IEEE.This study presents and discusses the outcomes of different de-noising approaches, which are applied to low SNR real fMRI BOLD signals. These signals are acquired during a psychiatric fMRI experiment that is specifically designed for observing emotional mood changes (EMC). Despite a priori knowledge about activations and change points for motor tasks, EMC signals in this study do not have a ground truth. Up to our knowledge, the challenges of such a task has never been visited. Accordingly, this study aims to compare the performance of three de-noising methods, which have inherently different characteristics, on preserving the waveform characteristics of change points and activation durations while removing noise from EMC-BOLD signals through expert guided qualitative analysis.