Examining the Use of Electroencephalography for the Diagnosis of Alzheimer’s Disease and Mild Cognitive Impairment

Introduction: Alzheimer’s disease is a type of dementia characterized by buildup -amyloid plaques and neurofibrillary tangles. Prior to the development disease, patients may experience mild cognitive impairment, decline in abilities while maintaining independent function. Electroencephalography has shown promise as clinical predictor impairment. The purpose this study review existing literature on biomarkers using resting-state electroencephalography or event-related potentials differentiate impairment from normal aging. Methods: A search primary research articles was conducted PubMed. Selected examined utilising electroencephalography, potential data, data. Reviews, conference abstracts, studies without human controls were excluded. Results: Our identified 100 125 records respectively. most common findings included reduction alpha power, an increase delta theta signal complexity, differences functional connectivity. P3 wave amplitude, well latency both N2 waves. Discussion: Resting-state indicate distinct changes oscillatory brain activity waveform shape which MCI AD compared HC be clinically relevant. Conclusion: There evidence support use certain electroencephalographic for diagnosis Future should seek examine how best apply these setting.