Paper Info
Title
Eeg Fluctuations Of Wake And Sleep In Mild Cognitive Impairment
Abstract
Amnestic Mild Cognitive Impairment (aMCI), a condition in which the memory functions of cognition are significantly impaired, is an established risk factor for Alzheimer's disease. Electroencephalography (EEG) is a tool capable of measuring the dynamics of the brain's neural networks, and is thus an important means in analysis and understanding of aMCI. In this proof-of-concept study, we compared the brain activation patterns of ten aMCI subjects with those of four healthy subjects during sleep by employing a 64-channel EEG data collection system. The power spectrum was analyzed to identify sleep stages, while spectral topography and source imaging techniques were employed to study the fluctuating patterns of the brain. Results of this study show an increase in activation power across all sleep stages in the delta and theta frequency bands alongside a decrease in alpha band activity for aMCI subjects. Source imaging analysis of the resting EEG identified default mode network, which becomes decoupled as sleep stages deepen. In the proof-of-concept study, our exploratory analysis demonstrated the feasibility of imaging dynamic network organization using EEG in aMCI.
Year
DOI
Venue
2017
10.1109/EMBC.2017.8037639
2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
Field
DocType
Volume
Default mode network,Neuroscience,Psychology,Eeg data,Theta rhythm,Cognition,EEG-fMRI,Sleep Stages,Electroencephalography,Cognitive impairment
Conference
2017
ISSN
Citations 
PageRank 
1094-687X
0
0.34
References 
Authors
1
10
Name
Order
Citations
PageRank
Johnny O'Keeffe100.68
Barbara Carlson200.68
Lisa DeStefano300.34
Michael Wenger400.68
Melissa Craft500.34
Linda Hershey600.34
Jeremy Hughes700.34
Dee Wu8254.93
Lei Ding914226.77
Han Yuan10928.55