title: Electroencephalogram global field synchronization analysis: a new method for assessing the progress of cognitive decline in Alzheimer's disease.
abstract: Alzheimer's disease (AD) is the most common cause of dementia. Global field synchronization (GFS) can measure functional synchronization in frequency-domain electroencephalogram (EEG) data. The aim of this study is to explore GFS values and its clinical significance for severity of cognitive decline in AD. EEGs were recorded from 37 AD patients and 37 age-matched healthy individuals. GFS values were calculated in delta, theta, alpha, beta 1, beta 2, beta 3, gamma, and full frequency bands. The Montreal Cognitive Assessment (MoCA) and Clinical Dementia Rating scale (CDR) were employed to assess symptom severity in AD patients. Correlation analysis, clustering analysis, and concordance analysis were performed to analyze the relationship between GFS values and MoCA scores in AD patients. GFS values of the beta 1, beta 2, beta 3, and full bands were lower in AD patients than in healthy individuals, and positively correlated with MoCA and CDR scores in the combined group (AD patients and healthy individuals). GFS values were positively correlated with MoCA socres in 3 beta bands and full bands, and with CDR scores in the delta band. There was a good concordance between K-means clustering algorithm calculating of GFS values and MoCA scoring (κ = .913, P < .001). In conclusion, the present results indicated that GFS can serve as an indicator of cognitive decline or impairment in AD patients. Furthermore, the GFS method of EEG holds considerable promise to distinguish mild cognitive impairment from serious cognitive impairment in patients with AD.
authors.affiliation: Shandong University, Jinan, China.
authors.forename: Chi-Cheng
authors.initials: CC
authors.lastname: Ma
authors.forename: Ai-Jun
authors.initials: AJ
authors.lastname: Liu
authors.forename: Ai-Hua
authors.initials: AH
authors.lastname: Liu
authors.forename: Xue-Ying
authors.initials: XY
authors.lastname: Zhou
authors.forename: Sheng-Nian
authors.initials: SN
authors.lastname: Zhou
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000544:Alzheimer Disease / Q000150:complications / Q000175:diagnosis / Q000503:physiopathology*; D016000:Cluster Analysis; D003072:Cognition Disorders / Q000175:diagnosis* / Q000209:etiology / Q000503:physiopathology*; D003344:Cortical Synchronization / Q000502:physiology; D004569:Electroencephalography / Q000379:methods; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009483:Neuropsychological Tests
keywords: Alzheimer’s disease; EEG; clustering analysis; cognitive decline; global field synchronization