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dc.contributor.authorGómez Peña, Carlos 
dc.contributor.authorJuan Cruz, Celia
dc.contributor.authorPoza Crespo, Jesús 
dc.contributor.authorRuiz Gómez, Saúl José 
dc.contributor.authorGómez Pilar, Javier
dc.contributor.authorNúñez Novo, Pablo 
dc.contributor.authorGarcía Gadañón, María 
dc.contributor.authorFernández, Alberto
dc.contributor.authorHornero Sánchez, Roberto 
dc.date.accessioned2018-09-03T10:23:13Z
dc.date.available2018-09-03T10:23:13Z
dc.date.issued2018
dc.identifier.citationJournal of Alzheimers Disease, In Presses
dc.identifier.urihttp://uvadoc.uva.es/handle/10324/31350
dc.descriptionProducción Científicaes
dc.description.abstractNeuroimaging techniques have demonstrated over the years their ability to characterize the brain abnormalities associated with different neurodegenerative diseases. Among all these techniques, magnetoencephalography (MEG) stands out by its high temporal resolution and noninvasiveness. The aim of the present study is to explore the coupling patterns of resting-state MEG activity in subjects with mild cognitive impairment (MCI). To achieve this goal, five minutes of spontaneous MEG activity were acquired with a 148- channel whole-head magnetometer from 18 MCI patients and 26 healthy controls. Interchannel relationships were investigated by means of two complementary coupling measures: coherence and Granger causality. Coherence is a classical method of functional connectivity, while Granger causality quantifies effective (or causal) connectivity. Both measures were calculated in the five conventional frequency bands: delta (d, 1-4 Hz), theta (q, 4-8 Hz), alpha (a, 8-13 Hz), beta (b, 13-30 Hz), and gamma (g, 30-45Hz). Our results showed that connectivity values were lower for MCI patients than for controls in all frequency bands. However, only Granger causality revealed statistically significant differences between groups (p-values < 0.05, FDR corrected Mann-Whitney U-test), mainly in the beta band. Our results support the role of MCI as a disconnection syndrome, which elicits early alterations in effective connectivity patterns. These findings can be helpful to identify the neural substrates involved in prodromal stages of dementia.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherIOS Presses
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses
dc.titleAlterations of Effective Connectivity Patterns in Mild Cognitive Impairment: An MEG Studyes
dc.typeinfo:eu-repo/semantics/articlees
dc.relation.publisherversionhttps://content.iospress.com/articles/journal-of-alzheimers-disease/jad170475es
dc.peerreviewedSIes
dc.description.projectThis research was supported by ‘Ministerio de Economía y Competitividad’ and ‘European Regional Development Fund’ under project TEC2014-53196-R, by ‘European Commission’ and ‘European Regional Development Fund’ under project ‘Análisis y correlación entre el genoma completo y la actividad cerebral para la ayuda en el diagnóstico de la enfermedad de Alzheimer’ (‘Cooperation Programme Interreg V-A Spain-Portugal POCTEP 2014-2020’), and by ‘Consejería de Educación de la Junta de Castilla y León’ under project VA037U16. Pablo Núñez was in receipt of a ‘Promoción de empleo joven e implantación de la Garantía Juvenil en I+D+i’ grant from ‘Ministerio de Economía y Competitividad’ and University of Valladolid.es


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