Please use this identifier to cite or link to this item:
Type: Artigo de periódico
Title: Structural Connectivity Of The Default Mode Network And Cognition In Alzheimer׳s Disease.
Author: Weiler, Marina
de Campos, Brunno Machado
Nogueira, Mateus Henrique
Pereira Damasceno, Benito
Cendes, Fernando
Balthazar, Marcio L F
Abstract: Disconnectivity between the Default Mode Network (DMN) nodes can cause clinical symptoms and cognitive deficits in Alzheimer׳s disease (AD). We aimed to examine the structural connectivity between DMN nodes, to verify the extent in which white matter disconnection affects cognitive performance. MRI data of 76 subjects (25 mild AD, 21 amnestic Mild Cognitive Impairment subjects and 30 controls) were acquired on a 3.0T scanner. ExploreDTI software (fractional Anisotropy threshold=0.25 and the angular threshold=60°) calculated axial, radial, and mean diffusivities, fractional anisotropy and streamline count. AD patients showed lower fractional anisotropy (P=0.01) and streamline count (P=0.029), and higher radial diffusivity (P=0.014) than controls in the cingulum. After correction for white matter atrophy, only fractional anisotropy and radial diffusivity remained significantly lower in AD compared to controls (P=0.003 and P=0.05). In the parahippocampal bundle, AD patients had lower mean and radial diffusivities (P=0.048 and P=0.013) compared to controls, from which only radial diffusivity survived for white matter adjustment (P=0.05). Regression models revealed that cognitive performance is also accounted for by white matter microstructural values. Structural connectivity within the DMN is important to the execution of high-complexity tasks, probably due to its relevant role in the integration of the network.
Subject: Adult
Aged, 80 And Over
Alzheimer Disease
Brain Mapping
Case-control Studies
Diffusion Magnetic Resonance Imaging
Diffusion Tensor Imaging
Mild Cognitive Impairment
Nerve Fibers, Myelinated
Neuropsychological Tests
Regression Analysis
Amnestic Mild Cognitive Impairment
Cognitive Performance
Diffusion Tensor Imaging
Rights: fechado
Identifier DOI: 10.1016/j.pscychresns.2014.04.008
Date Issue: 2014
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

Files in This Item:
File SizeFormat 
pmed_24816337.pdf1.56 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.