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Por favor, use este identificador para citar o enlazar este ítem: http://uvadoc.uva.es/handle/10324/21726
Título: Analysis of Magnetoencephalography Signals from Alzheimer’s Disease Patients Using Granger Causality
Autor: Juan Cruz, Celia
Gómez Peña, Carlos
Poza Crespo, Jesús
Fernández, Alberto
Hornero Sánchez, Roberto
Año del Documento: 2016
Editorial: IEEE Conference Publications
Descripción: Producción Científica
Documento Fuente: 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
Resumen: The aim of this study was to analyze resting-state magnetoencephalography (MEG) activity in Alzheimer’s disease (AD) by means of Granger Causality (GC), an effective connectivity measure that provides an estimation of the information flow between brain regions. For this task, five minutes of MEG recordings were acquired with a 148-channel whole-head magnetometer from 36 AD patients and 26 healthy controls. Abnormalities in AD connectivity were found in the five 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, 30-65 Hz). Noteworthy increments in delta band and decrements in beta and gamma bands revealed disrupted connections in AD brain activity. Our analyses suggest that GC may be useful to characterize the brain impairment in AD.
Materias (normalizadas): Alzheimer
ISSN: 1557-170X
Revisión por Pares: SI
DOI: 10.1109/EMBC.2016.7590804
Patrocinador: Ministerio de Economía y Competitividad (TEC2014-53196-R)
Junta de Castilla y León (VA059U13 y BIO/VA08/15)
Version del Editor: http://ieeexplore.ieee.org/servlet/opac?punumber=1000269
Idioma: eng
URI: http://uvadoc.uva.es/handle/10324/21726
Derechos: info:eu-repo/semantics/openAccess
Aparece en las colecciones:DEP71 - Artículos de revista

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