EEG and ERP biomarkers of Alzheimer's disease: A critical review

Andras Horvath, A. Szűcs, Gabor Csukly, Anna Sakovics, Gabor Stefanics, A. Kamondi

Research output: Contribution to journalReview article

22 Citations (Scopus)

Abstract

Here we critically review studies that used electroencephalography (EEG) or event-related potential (ERP) indices as a biomarker of Alzheimer's disease. In the first part we overview studies that relied on visual inspection of EEG traces and spectral characteristics of EEG. Second, we survey analysis methods motivated by dynamical systems theory (DST) as well as more recent network connectivity approaches. In the third part we review studies of sleep. Next, we compare the utility of early and late ERP components in dementia research. In the section on mismatch negativity (MMN) studies we summarize their results and limitations and outline the emerging field of computational neurology. In the following we overview the use of EEG in the differential diagnosis of the most common neurocognitive disorders. Finally, we provide a summary of the state of the field and conclude that several promising EEG/ERP indices of synaptic neurotransmission are worth considering as potential biomarkers. Furthermore, we highlight some practical issues and discuss future challenges as well.

Original languageEnglish
Pages (from-to)183-220
Number of pages38
JournalFrontiers in Bioscience - Landmark
Volume23
Issue number2
Publication statusPublished - Jan 1 2018

Keywords

  • Alzheimer's disease
  • Electroencephalography
  • Event-Related Potentials
  • Mild Cognitive Impairment
  • Mismatch Negativity
  • Review
  • Sleep

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)

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