Nina Ommundsen1, Knut Engedal, Anne Rita Øksengård. 1. Department of Geriatric Medicine, Ullevaal University Hospital, Nydalen, Oslo, Norway. nina.ommundsen@oslo-universitetssykehus.no
Abstract
AIMS: To evaluate the use of quantitative EEG (qEEG) statistical pattern recognition in diagnosing Alzheimer's disease (AD). METHODS: qEEG was performed on 104 patients referred to a memory clinic. The qEEG results were compared to the clinical diagnosis made without access to the EEG results. RESULTS: Of 30 patients with a clinical diagnosis of AD, 22 were test positive. Of the 74 patients without AD, 34 were test negative. The qEEG result was found to correlate with atrophy of the medial temporal lobe demonstrated on cerebral MRI (p = 0.002) and with scores on neuropsychological tests. CONCLUSION: The qEEG was poor at diagnosing AD, as it produced many false-positive results.
AIMS: To evaluate the use of quantitative EEG (qEEG) statistical pattern recognition in diagnosing Alzheimer's disease (AD). METHODS: qEEG was performed on 104 patients referred to a memory clinic. The qEEG results were compared to the clinical diagnosis made without access to the EEG results. RESULTS: Of 30 patients with a clinical diagnosis of AD, 22 were test positive. Of the 74 patients without AD, 34 were test negative. The qEEG result was found to correlate with atrophy of the medial temporal lobe demonstrated on cerebral MRI (p = 0.002) and with scores on neuropsychological tests. CONCLUSION: The qEEG was poor at diagnosing AD, as it produced many false-positive results.
Authors: Sonja Simpraga; Ricardo Alvarez-Jimenez; Huibert D Mansvelder; Joop M A van Gerven; Geert Jan Groeneveld; Simon-Shlomo Poil; Klaus Linkenkaer-Hansen Journal: Sci Rep Date: 2017-07-18 Impact factor: 4.379