Paper Info
Title
Analysis Of Volume Conduction Effects On Different Functional Connectivity Metrics: Application To Alzheimer'S Disease Eeg Signals
Abstract
The aim of this study was to evaluate the effect of volume conduction on different connectivity metrics: Amplitude Envelope Correlation (AEC), Phase Lag Index (PLI), and Magnitude Squared Coherence (MSCOH). These measures were applied to: (i) a synthetic model of 64 coupled oscillators; and (ii) a resting-state EEG database of 72 patients with dementia due to Alzheimer's disease (AD) and 37 cognitively healthy controls. Our results revealed that AEC and PLI are weakly influenced by the simulated volume conduction compared to MSCOH, although the three metrics are not immune to this effect. Furthermore, results with real EEG recordings showed that AD patients are characterized by an AEC increase in delta frequency band and widespread connectivity decreases in alpha and beta(1) bands. These coupling changes reflect the abnormalities in spontaneous EEG activity of AD patients and might provide further insights into the underlying brain dynamics associated with this disorder.
Year
DOI
Venue
2019
10.1109/EMBC.2019.8856548
2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
Field
DocType
Volume
Computer vision,Magnitude squared coherence,Phase lag,Disease,Neuroscience,Computer science,Frequency band,Correlation,Artificial intelligence,Electroencephalography,Dementia
Conference
2019
ISSN
Citations 
PageRank 
1557-170X
0
0.34
References 
Authors
0
9
Name
Order
Citations
PageRank
Saúl J. Ruiz-Gómez101.01
Carlos Gómez28615.72
Jesús Poza35512.29
Aaron Maturana-Candelas400.68
Víctor Rodríguez-González500.68
María García618611.96
Miguel A. Tola-Arribas752.58
Monica Cano801.69
Roberto Hornero960367.74