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Por favor, use este identificador para citar o enlazar este ítem: http://uvadoc.uva.es/handle/10324/21746
Título: Assessment of Effective Connectivity in Alzheimer’s Disease Using Granger Causality
Autor: Juan Cruz, Celia
Gómez Peña, Carlos
Poza Crespo, Jesús
Fernández, Alberto
Hornero Sánchez, Roberto
Año del Documento: 2016
Editorial: Springer
Descripción: Producción Científica
Documento Fuente: Converging Clinical and Engineering Research on Neurorehabilitation II. Proceedings of the 3rd International Conference on NeuroRehabilitation (ICNR2016), Editors: Ibáñez, J., González-Vargas, J., Azorín, J.M., Akay, M., Pons, J.L., 2016, p. 763-767 (Biosystems & Biorobotics)
Resumen: Alzheimer’s disease (AD) is a neurological disorder accompanied by cognitive impairment. A complete understanding of the neurological processes involved in AD is a leading challenge in brain research. In this study, resting-state magnetoencephalography (MEG) activity from 36 AD patients and 26 healthy controls was evaluated by means of Granger Causality (GC), an effective connectivity measure that provides an estimation of the information flow between brain regions. Our results showed widespread increments in connectivity in delta (, 1-4 Hz) band. On the other hand, decrements in connectivity patterns were found for theta (, 4-8 Hz), beta (, 13-30 Hz), and gamma (, 30-65 Hz) bands. These findings strength the disconnection hypothesis in AD, and reveal GC as a useful parameter for AD identification.
Materias (normalizadas): Alzheimer
ISBN: 978-3-319-46668-2
Patrocinador: Ministerio de Economía y Competitividad (TEC2014-53196-R)
Junta de Castilla y León (VA059U13 y BIO/VA08/15)
Version del Editor: http://rd.springer.com/bookseries/10421
Idioma: eng
URI: http://uvadoc.uva.es/handle/10324/21746
Derechos: info:eu-repo/semantics/openAccess
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