Estudo preliminar
: pontuação de risco de demência CAIDE e sinais EEG

Translated title of the thesis: Preliminary study: CAIDE dementia risk score and EEG signals
  • Alice Rodrigues Manuel (Student)

Student thesis: Master's Thesis

Abstract

Introduction: According to the literature, it is possible to delay or prevent 1/3 of dementia cases. Accounting for risk factors is essential to identify the people who benefit most from intervention programs in which these risk factors are reduced, and protective factors are worked on. This is usually done using the CAIDE Dementia Risk Score, an instrument which considers demographic, biometric and biochemical data. But little is known about the correlates of this risk, as measured by the CAIDE, in terms of brain function. Objective: To find out whether the variation in dementia risk scores obtained in the CAIDE is associated with changes in the electrical signal captured by the electroencephalogram (EEG) and with cognitive measures in normative individuals. Method: The sample consisted of 38 participants aged between 54 and 79 (M= 67.05; SD= 6.02). Data collected at two time points, using paper and pencil tests and EEG recordings at rest, channels Fp1 and Fp2. The EEG signals were analysed using Power Spectral Density. Results: It was observed that the CAIDE score is positively correlated with the relative power activation of the theta band; r (38) = .347, p = .033 and negatively correlated with the MMSE cognitive test score; r (38) = -.369, p = .023. Additionally, variations in the MMSE are found to be related to some EEG metrics. Discussion: The obtained results contribute to a measure of convergent validity between CAIDE and the risk of cognitive decline. The findings suggest that CAIDE scores seem to identify individuals who, without cognitive changes, already have brain activity like that found in people with dementia. These findings underscore the importance of early monitoring and control of these factors to reduce the incidence of dementia.
Date of Award14 Nov 2023
Original languagePortuguese
Awarding Institution
  • Universidade Católica Portuguesa
SupervisorMaria Vânia Silva Nunes (Supervisor) & Pedro Miguel Rodrigues (Co-Supervisor)

Keywords

  • Aging
  • Risk of dementia
  • Electroencephalogram
  • Deceleration effect

Designation

  • Mestrado em Neuropsicologia

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