Individual Alpha peak frequency as a marker for early

IntroductionAlzheimer’s is a progressive neurodegenerative disease in which the patient loses his cognitive functions over a period of time. Most of all, it is a memory disorder. Early diagnosis of Alzheimer's disease can be an effective step in initiating treatment and preventing the progression of the disease. EEG is one of the most commonly used clinical neuroimaging methods to evaluate brain function. An individual's alpha peak frequency (iAPF) can be used as a neuromarker to evaluate overall brain performance speed and brain cognitive levels. By decreasing cognitive functions with age, it is expected that the level of iAPF is also reduced. The purpose of this study was to investigate the relationship between the iAPF index and the level of cognitive functions to predict the onset of Alzheimer's disease.MethodsIn this study, we investigate the relationship between iAPF index and MMSE (Mini–mental state examination) questionnaire in individuals over the age of ۵۰ years. The MMSE is a test to assess the quality of consciousness by diagnosing and screening for dementia. The study involved ۲۰ people over the age of ۵۰ (۵ men and ۱۵ women) who referred to the office because of memory disorders. MMSE test was performed on these subjects and EEG was recorded for ۱۰ minutes in eye closed condition based on ۱۰-۲۰ system. The iAPF index is obtained from the posterior regions of the brain. The relationship between the MMSE test score and the iAPF index is examined.ResultsStatistical analysis of the results showed a relationship between decreasing in iAPF index and cognitive problems (figure ۱).ConclusionThis study suggests that the iAPF index can be used as a warning marker to evaluate Alzheimer's diseases clinical symptoms.