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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 and Pineda Pardo, José Ángel and Canuet, Leónides and Aurtenetxe, Sara and López, María Eugenia and Marcos, Alberto and Yus, Miguel and Llanero Luque, Marcos and Pozo, Francisco del and Sancho Ruíz, Miguel and 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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Official URL: http://dx.doi.org/10.1016/j.nicl.2014.09.004


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Abstract

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.

Uncontrolled Keywords:Resting-state networks; Independent component analysis; Alzheimers-disease; White-matter; Amyloid-beta; Alpha oscillations; Connectivity; Brain; Eeg; Magnetoencephalography.
Subjects:Sciences > Physics > Electricity
Sciences > Physics > Electronics
ID Code:29662
Deposited On:20 Apr 2015 08:36
Last Modified:10 Dec 2018 14:57

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