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The Default Mode Network is functionally and structurally disrupted in amnestic mild cognitive impairment - A bimodal MEG-DTI study

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Garcés López, Maria Pilar y Pineda Pardo, José Ángel y Canuet, Leónides y Aurtenetxe, Sara y López, María Eugenia y Marcos, Alberto y Yus, Miguel y Llanero Luque, Marcos y Pozo, Francisco del y Sancho Ruíz, Miguel y Maestú, Fernando (2014) The Default Mode Network is functionally and structurally disrupted in amnestic mild cognitive impairment - A bimodal MEG-DTI study. Neuroimage: clinical, 6 . pp. 214-221. ISSN 2213-1582

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URL Oficial: http://dx.doi.org/10.1016/j.nicl.2014.09.004


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Over the past years, several studies on Mild Cognitive Impairment (MCI) and Alzheimer's disease (AD) have reported Default Mode Network (DMN) deficits. This network is attracting increasing interest in the AD community, as it seems to play an important role in cognitive functioning and in beta amyloid deposition. Attention has been particularly drawn to how different DMN regions are connected using functional or structural connectivity. To this end, most studies have used functional Magnetic Resonance Imaging (fMRI), Positron Emission Tomography (PET) or Diffusion Tensor Imaging (DTI). In this study we evaluated (1) functional connectivity from resting state magnetoencephalography (MEG) and (2) structural connectivity from DTI in 26 MCI patients and 31 age-matched controls. Compared to controls, the DMN in the MCI group was functionally disrupted in the alpha band, while no differences were found for delta, theta, beta and gamma frequency bands. In addition, structural disconnection could be assessed through a decreased fractional anisotropy along tracts connecting different DMN regions. This suggests that the DMN functional and anatomical disconnection could represent a core feature of MCI. (C) 2014 The Authors. Published by Elsevier Inc.


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© 2014 The Authors. This work was supported the projects PSI2009-14415-C03-01 and PSI2012-38375-C03-01 from the Spanish Ministry of Science and Economy. Research by P.G. and by L.C. was supported by PICATA predoctoral and postdoctoral contracts of the Moncloa Campus of International Excellence (UCM–UPM), respectively. J.A.P.P was supported by the Spanish Ministry of Education through the National Program FPU (AP2010-1317). S.A. was supported by a predoctoral fellowship from the Basque Government.

Palabras clave:Resting-state networks; Independent component analysis; Alzheimers-disease; White-matter; Amyloid-beta; Alpha oscillations; Connectivity; Brain; Eeg; Magnetoencephalography.
Materias:Ciencias > Física > Electricidad
Ciencias > Física > Electrónica
Código ID:29662
Depositado:20 Abr 2015 08:36
Última Modificación:23 Feb 2018 17:48

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