Computational modeling of the effects of EEG volume conduction on functional connectivity metrics. Application to Alzheimer's disease continuum.

Journal: Journal of neural engineering

PMID: 31470433

Abstract

OBJECTIVE: The aim of this study was to evaluate the effect of electroencephalographic (EEG) volume conduction in different measures of functional connectivity and to characterize the EEG coupling alterations at the different stages of dementia due to Alzheimer's disease (AD).

Authors

Saúl J Ruiz-Gómez

Biomedical Engineering Group, University of Valladolid, Valladolid, Spain.
Roberto Hornero

Biomedical Engineering Group, University of Valladolid, Valladolid, Spain.
Jesús Poza
Aarón Maturana-Candelas
Nádia Pinto
Carlos Gómez

Keywords

Aged Aged, 80 and over Alzheimer Disease Brain Electroencephalography Female Humans Male Models, Anatomic Nerve Net Neural Networks, Computer

External Resources

View on PubMed Access via DOI PubMed (31470433)

Computational modeling of the effects of EEG volume conduction on functional connectivity metrics. Application to Alzheimer's disease continuum.

Abstract

Authors

Keywords

External Resources

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