Is EEG Entropy a Useful Measure for Alzheimer's Disease?

Authors

  • Manuel A Zúñiga Facultad de Medicina, Universidad Nacional de Colombia,111321 Bogotá, Colombia
  • Ángela Acero-González Facultad de Medicina, Universidad de La Sabana, 250001 Chía, Cundinamarca, Colombia
  • Juan C. Restrepo-Castro Facultad de Psicología, Universidad de La Sabana, 250001 Chía, Cundinamarca, Colombia
  • Miguel Ángel Uribe-Laverde Facultad de Ingeniería, Universidad de La Sabana, 250001 Chía, Cundinamarca, Colombia
  • Daniel A Botero-Rosas Facultad de Medicina, Universidad de La Sabana, 250001 Chía, Cundinamarca, Colombia
  • Borja I Ferreras Facultad de Medicina, Universidad de La Sabana, 250001 Chía, Cundinamarca, Colombia
  • María C Molina-Borda Facultad de Medicina, Universidad de La Sabana, 250001 Chía, Cundinamarca, Colombia
  • María Paula Villa-Reyes Facultad de Medicina, Universidad de La Sabana, 250001 Chía, Cundinamarca, Colombia

DOI:

https://doi.org/10.62641/aep.v52i3.1632

Keywords:

entropy, Alzheimer's disease, dementia, electroencephalography, biomarkers

Abstract

Background: The number of individuals diagnosed with Alzheimer's disease (AD) has increased, and it is estimated to continue rising in the coming years. The diagnosis of this disease is challenging due to variations in onset and course, its diverse clinical manifestations, and the indications for measuring deposit biomarkers. Hence, there is a need to develop more precise and less invasive diagnostic tools. Multiple studies have considered using electroencephalography (EEG) entropy measures as an indicator of the onset and course of AD. Entropy is deemed suitable as a potential indicator based on the discovery that variations in its complexity can be associated with specific pathologies such as AD.

Methodology: Following PRISMA guidelines, a literature search was conducted in 4 scientific databases, and 40 articles were analyzed after discarding and filtering.

Results: There is a diversity in entropy measures; however, Sample Entropy (SampEn) and Multiscale Entropy (MSE) are the most widely used (21/40). In general, it is found that when comparing patients with controls, patients exhibit lower entropy (20/40) in various areas. Findings of correlation with the level of cognitive decline are less consistent, and with neuropsychiatric symptoms (2/40) or treatment response less explored (2/40), although most studies show lower entropy with greater severity. Machine learning-based studies show good discrimination capacity.

Conclusions: There is significant difficulty in comparing multiple studies due to their heterogeneity; however, changes in Multiscale Entropy (MSE) scales or a decrease in entropy levels are considered useful for determining the presence of AD and measuring its severity.

Downloads

Published

2024-06-05

How to Cite

Zúñiga, Manuel A, et al. “Is EEG Entropy a Useful Measure for Alzheimer’s Disease?”. Actas Españolas De Psiquiatría, vol. 52, no. 3, June 2024, pp. 347-64, doi:10.62641/aep.v52i3.1632.

Issue

Section

Review