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Can I read Quantitative EEG in progressing vs stable mild cognitive impairment (MCI): results of a 1-year follow-up study on EtoBox?

Quantitative EEG in progressing vs stable mild cognitive impairment (MCI): results of a 1-year follow-up study by Christian Luckhaus; Brigitte Grass-Kapanke; Ingo Blaeser; Ralf Ihl; Tillmann Supprian; Georg Winterer; Jürgen Zielasek; Jürgen Brinkmeyer is a Medicine article available to read on EtoBox.

What is Quantitative EEG in progressing vs stable mild cognitive impairment (MCI): results of a 1-year follow-up study about?

## Abstract ## Objective The study objective is to evaluate the use of qEEG data for the cross‐sectional differentiation of mild cognitive impairment (MCI) from mild Alzheimer's disease (AD) and in the longitudinal prediction of cognitive decline in MCI. ## Methods Eighty‐eight subjects with MCI and 42 subjects with mild probable AD were enrolled. Baseline EEGs were recorded using a 32‐channel system with electrode positioning according to the international 10–20 system. Digitalized EEG data were further studied by quantitative spectral analysis. Study subjects were followed up for 1 year and reassessed psychometrically. An increase of the total ADAS‐cog score of ≥ 4 points was regarded as a significant cognitive decline. Using this cut‐off, MCI subjects were sub‐grouped into stable MCI (s‐MCI) and progressing MCI (p‐MCI). ## Results AD subjects and p‐MCI subjects were differentiated from s‐MCI subjects by a reduction of alpha power over posterior leads. Reduction of alpha power and mean frequency were significantly correlated with poorer cognitive performance in psychometric tests. Baseline values of alpha power over posterior leads had the highest positive predictive power for MC

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Author
Christian Luckhaus; Brigitte Grass-Kapanke; Ingo Blaeser; Ralf Ihl; Tillmann Supprian; Georg Winterer; Jürgen Zielasek; Jürgen Brinkmeyer
Publisher
John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley; Research Square (ISSN 0885-6230)
Published
2008
Language
EN
Field
Medicine (Health Sciences)