Faculty
Faculty Publications
Regional Beta Index of Electroencephalography May Differentiate Alzheimer's Disease from Depression | |
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Year of publication | 2017 |
Title of paper | Regional Beta Index of Electroencephalography May Differentiate Alzheimer's Disease from Depression |
Author | Kanghee Lee, Ji Won Han, Ki Woong Kim |
Publication in journal | Psychiatry Investigation |
Status of publication | accepted |
Vol | 14(5) |
Link | https://www.ncbi.nlm.nih.gov/pubmed/29042900 155회 연결 |
Differentiating early Alzheimer's disease (AD) from depression with cognitive impairment is challenging in the elderly. To develop a model for differentiating these two conditions using electroencephalography (EEG), we enrolled 11 patients with early probable AD and 11 age- and cognitive function-matched patients with major depressive disorder (MDD) and compared the EEG relative powers of 9 scalp regions. Compared to the MDD group, the AD group had a higher global theta relative power (p=0.021). In the MDD group, beta relative power was higher in the mid-central region than in the left or right central regions (p<0.01). The prediction model that included global theta relative power and regional beta index was able to discriminate AD from MDD (AUC=0.893, p=0.002). A combination of global theta relative power and intra-individual regional differences in beta may differentiate early AD from MDD with cognitive impairment. Keywords: Alzheimer's disease, Major depressive disorder, Differential diagnosis, EEG, Theta, Beta |