Literature DB >> 18093675

Quantitative EEG in early Alzheimer's disease patients - power spectrum and complexity features.

Balázs Czigler1, Dóra Csikós, Zoltán Hidasi, Zsófia Anna Gaál, Eva Csibri, Eva Kiss, Pál Salacz, Márk Molnár.   

Abstract

The goal of this study was to investigate the EEG signs of early stage Alzheimer's disease (AD) by conventional analyses and by methods quantifying linear and nonlinear EEG-complexity. The EEG was recorded in 12 mild AD patients and in an age-matched healthy control group (24 subjects) in both eyes open and eyes closed conditions. Frequency spectra, Omega-complexity and Synchronization likelihood were calculated on the data. In the patients a significant decrease of the relative alpha and increase of the theta power were found. Remarkably increased Omega-complexity and lower Synchronization likelihood were observed in AD in the 0.5-25 Hz frequency ranges. It is concluded that both spectral- and EEG-complexity changes can be found already in the early stage of AD in a wide frequency range. Application of conventional EEG analysis methods in combination with quantification of EEG-complexity may improve the chances of early diagnosis of AD.

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Year:  2007        PMID: 18093675     DOI: 10.1016/j.ijpsycho.2007.11.002

Source DB:  PubMed          Journal:  Int J Psychophysiol        ISSN: 0167-8760            Impact factor:   2.997


  29 in total

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4.  Analysis of long range dependence in the EEG signals of Alzheimer patients.

Authors:  T Nimmy John; Subha D Puthankattil; Ramshekhar Menon
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5.  Multivariate multi-scale weighted permutation entropy analysis of EEG complexity for Alzheimer's disease.

Authors:  Bin Deng; Lihui Cai; Shunan Li; Ruofan Wang; Haitao Yu; Yingyuan Chen; Jiang Wang
Journal:  Cogn Neurodyn       Date:  2016-11-15       Impact factor: 5.082

6.  θ power responses in mild Alzheimer's disease during an auditory oddball paradigm: lack of theta enhancement during stimulus processing.

Authors:  Giuseppe Caravaglios; Giuseppe Castro; Erminio Costanzo; Giulia Di Maria; Danielle Mancuso; Emma Gabriella Muscoso
Journal:  J Neural Transm (Vienna)       Date:  2010-09-16       Impact factor: 3.575

7.  Assessment of EEG dynamical complexity in Alzheimer's disease using multiscale entropy.

Authors:  Tomoyuki Mizuno; Tetsuya Takahashi; Raymond Y Cho; Mitsuru Kikuchi; Tetsuhito Murata; Koichi Takahashi; Yuji Wada
Journal:  Clin Neurophysiol       Date:  2010-04-18       Impact factor: 3.708

8.  Multiple characteristics analysis of Alzheimer's electroencephalogram by power spectral density and Lempel-Ziv complexity.

Authors:  Xiaokun Liu; Chunlai Zhang; Zheng Ji; Yi Ma; Xiaoming Shang; Qi Zhang; Wencheng Zheng; Xia Li; Jun Gao; Ruofan Wang; Jiang Wang; Haitao Yu
Journal:  Cogn Neurodyn       Date:  2015-11-12       Impact factor: 5.082

9.  The superficial white matter in Alzheimer's disease.

Authors:  Owen R Phillips; Shantanu H Joshi; Fabrizio Piras; Maria Donata Orfei; Mariangela Iorio; Katherine L Narr; David W Shattuck; Carlo Caltagirone; Gianfranco Spalletta; Margherita Di Paola
Journal:  Hum Brain Mapp       Date:  2016-01-23       Impact factor: 5.038

Review 10.  Applications of machine learning to diagnosis and treatment of neurodegenerative diseases.

Authors:  Monika A Myszczynska; Poojitha N Ojamies; Alix M B Lacoste; Daniel Neil; Amir Saffari; Richard Mead; Guillaume M Hautbergue; Joanna D Holbrook; Laura Ferraiuolo
Journal:  Nat Rev Neurol       Date:  2020-07-15       Impact factor: 42.937

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