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Tytuł artykułu

Coherence and phase synchrony analyses of EEG signals in Mild Cognitive Impairment (MCI): A study of functional brain connectivity

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents an EEG study for coherence and phase synchrony in mild cognitive impairment (MCI) subjects. MCI is characterized by cognitive decline, which is an early stage of Alzheimer’s disease (AD). AD is a neurodegenerative disorder with symptoms such as memory loss and cognitive impairment. EEG coherence is a statistical measure of correlation between signals from electrodes spatially separated on the scalp. The magnitude of phase synchrony is expressed in the phase locking value (PLV), a statistical measure of neuronal connectivity in the human brain. Brain signals were recorded using an Emotiv Epoc 14-channel wireless EEG at a sampling frequency of 128 Hz. In this study, we used 22 elderly subjects consisted of 10 MCI subjects and 12 healthy subjects as control group. The coherence between each electrode pair was measured for all frequency bands (delta, theta, alpha and beta). In the MCI subjects, the value of coherence and phase synchrony was generally lower than in the healthy subjects especially in the beta frequency. A decline of intrahemisphere coherence in the MCI subjects occurred in the left temporo-parietal-occipital region. The pattern of decline in MCI coherence is associated with decreased cholinergic connectivity along the path that connects the temporal, occipital, and parietal areas of the brain to the frontal area of the brain. EEG coherence and phase synchrony are able to distinguish persons who suffer AD in the early stages from healthy elderly subjects.
Rocznik
Strony
1--9
Opis fizyczny
Bibliogr. 45 poz., rys., tab.
Twórcy
autor
  • Biophysics Lab, Physics Department, Faculty of Mathematics and Natural Science, Institut Teknologi Bandung, Bandung, Indonesia
  • Physics Department, Faculty of Science and Technology, UIN Sunan Kalijaga, Yogyakarta, Indonesia
autor
  • Biophysics Lab, Physics Department, Faculty of Mathematics and Natural Science, Institut Teknologi Bandung, Bandung, Indonesia
  • Biophysics Lab, Physics Department, Faculty of Mathematics and Natural Science, Institut Teknologi Bandung, Bandung, Indonesia
autor
  • Biophysics Lab, Physics Department, Faculty of Mathematics and Natural Science, Institut Teknologi Bandung, Bandung, Indonesia
autor
  • Neuroscience Divison, CTech Labs, PT Edwar Technology, Tangerang, Indonesia
Bibliografia
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-19fd216c-9bca-47f8-9e9a-69a1d2fdd6c8
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