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2014 | OriginalPaper | Buchkapitel

Permutation Entropy Analysis of EEG of Mild Cognitive Impairment Patients During Memory Activation Task

verfasst von : Leena T. Timothy, Bindu M. Krishna, Murali Krishna Menon, Usha Nair

Erschienen in: Fractals, Wavelets, and their Applications

Verlag: Springer International Publishing

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Abstract

Permutation Entropy (PE) statistic is a measure of self-similarity of the time series estimated from its ordinal patterns. This measure is used to detect the dynamical differences between patients with mild cognitive impairment (MCI) and normal controls. The comparison of PE values of Electroencephalograph (EEG) of the two groups in the resting eyes closed (EC) state and the short-term memory task (STM) state reveals altered efficiency of the different lobes of MCI brain in the compensational dynamical mechanism for task management. In resting EC state, PE values of MCI group is significantly (p∠0. 05) lower than that of controls in the frontal, temporal, and anterior parietal regions. In the STM task state, entropy levels of MCI group are significantly (p∠0. 05) lower than that of controls in the frontal region and the left parietal region. These findings suggest that nonlinear analysis of EEG using PE can provide important information about EEG characteristic of cognitively impaired condition that can lead to Alzheimer’s Disease(AD).

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Metadaten
Titel
Permutation Entropy Analysis of EEG of Mild Cognitive Impairment Patients During Memory Activation Task
verfasst von
Leena T. Timothy
Bindu M. Krishna
Murali Krishna Menon
Usha Nair
Copyright-Jahr
2014
DOI
https://doi.org/10.1007/978-3-319-08105-2_25