4.7 Review

Electroencephalography as a Non-Invasive Biomarker of Alzheimer's Disease: A Forgotten Candidate to Substitute CSF Molecules?

Journal

Publisher

MDPI
DOI: 10.3390/ijms221910889

Keywords

EEG; Alzheimer's disease diagnosis; non-invasive biomarkers; cerebral rhythms; alpha wave; synchrony; complexity

Funding

  1. Instituto de Salud Carlos III [CB16/10/00435]
  2. Special Research Actions from University of Valencia [REF: UV-INV-AE-1546096]

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Biomarkers for disease diagnosis and prognosis should be objective, quantifiable, reproducible, and allow repeated measurements over time. This review focuses on the usefulness and limitations of electroencephalography (EEG) as a potential source for Alzheimer's disease (AD) biomarkers, emphasizing the need for new non-invasive biomarkers in addition to traditional ones.
Biomarkers for disease diagnosis and prognosis are crucial in clinical practice. They should be objective and quantifiable and respond to specific therapeutic interventions. Optimal biomarkers should reflect the underlying process (pathological or not), be reproducible, widely available, and allow measurements repeatedly over time. Ideally, biomarkers should also be non-invasive and cost-effective. This review aims to focus on the usefulness and limitations of electroencephalography (EEG) in the search for Alzheimer's disease (AD) biomarkers. The main aim of this article is to review the evolution of the most used biomarkers in AD and the need for new peripheral and, ideally, non-invasive biomarkers. The characteristics of the EEG as a possible source for biomarkers will be revised, highlighting its advantages compared to the molecular markers available so far.

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