Selecting the Most Characteristic Vestibular Stimuli to be Used for Alzheimer’s Subtype Diagnosis

Authors

  • Sadegh Marzban PhD student at University of Manitoba
  • Zeinab Dastgheib University of Manitoba
  • Brian Lithgow University of Manitoba
  • Zahra Moussavi University of Manitoba

Abstract

This study aimed to find the most effective tilts in electrovestibulography (EVestG) to differentiate Alzheimer's disease (AD) from Alzheimer's disease with cerebrovascular disease pathology (AD-CVD) using principal component analysis (PCA). EVestG records responses to physical stimuli (tilts), and the goal was to rank these in terms of their ability to separate AD from AD-CVD. The study analyzed EVestG signals from 28 AD and 24 AD-CVD individuals. PCA was used to determine the mean contribution of tilts to the first 26 principle components, which represent 81% of the data variation. The algorithm was tested on 80% of a randomly selected database and found that the Supine Up/down and (sitting) Up/down tilts, which predominantly stimulate the utricle and saccule respectively, were the most effective in separating AD from AD-CVD

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Published

2023-05-14

How to Cite

[1]
S. Marzban, Z. Dastgheib, B. Lithgow, and Z. Moussavi, “Selecting the Most Characteristic Vestibular Stimuli to be Used for Alzheimer’s Subtype Diagnosis”, CMBES Proc., vol. 45, May 2023.

Issue

Vol. 45 (2023)

Section

Academic