RT info:eu-repo/semantics/article
T1 Analysis of Magnetoencephalography Signals from Alzheimer’s Disease Patients Using Granger Causality
A1 Juan Cruz, Celia
A1 Gómez Peña, Carlos
A1 Poza Crespo, Jesús
A1 Fernández, Alberto
A1 Hornero Sánchez, Roberto
K1 Alzheimer, Enfermedad de
AB The aim of this study was to analyze resting-statemagnetoencephalography (MEG) activity in Alzheimer’sdisease (AD) by means of Granger Causality (GC), an effectiveconnectivity measure that provides an estimation of theinformation flow between brain regions. For this task, fiveminutes of MEG recordings were acquired with a 148-channelwhole-head magnetometer from 36 AD patients and 26 healthycontrols. Abnormalities in AD connectivity were found in thefive typical frequency bands: delta (δ, 1-4 Hz), theta (θ, 4-8 Hz),alpha (α, 8-13 Hz), beta (β, 13-30 Hz), and gamma (γ, 30-65Hz). Noteworthy increments in delta band and decrements inbeta and gamma bands revealed disrupted connections in ADbrain activity. Our analyses suggest that GC may be useful tocharacterize the brain impairment in AD.
PB IEEE Conference Publications
SN 1557-170X
YR 2016
FD 2016
LK http://uvadoc.uva.es/handle/10324/21726
UL http://uvadoc.uva.es/handle/10324/21726
LA eng
NO Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2016, p. 724 - 727
NO Producción Científica
DS UVaDOC
RD 20-abr-2024