Network analysis through the use of joint-distribution entropy on EEG recordings of MCI patients during a visual short-term memory binding task

Network analysis through the use of joint-distribution entropy on EEG recordings of MCI patients during a visual short-term memory binding task

The early diagnosis of Alzheimer's disease (AD) is particularly challenging. Mild cognitive impairment (MCI) has been linked to AD and electroencephalogram (EEG) recordings are able to measure brain activity directly with high temporal resolution. In this context, with appropriate processing, t...

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Bibliographic Details
Main Authors: Alexandra Josefsson, Agustín Ibáñez, Mario Parra, Javier Escudero
Format: Article
Language:English
Published: Wiley 2019-02-01
Series:Healthcare Technology Letters
Subjects:
electroencephalography
medical signal processing
diseases
neurophysiology
brain
entropy
cognition
Alzheimer's disease
mild cognitive impairment
electroencephalogram recordings
brain activity
high temporal resolution
brain functional connectivity
functional network
beta-filtered EEG recordings
short-term memory binding task
MCI patients
EEG functional connectivity changes
network differences
network analysis
joint-distribution entropy
early diagnosis
Online Access:https://digital-library.theiet.org/content/journals/10.1049/htl.2018.5060

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https://digital-library.theiet.org/content/journals/10.1049/htl.2018.5060

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