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Published in: Magnetic Resonance Materials in Physics, Biology and Medicine 3/2019

Open Access 01-06-2019 | Alzheimer's Disease | Research Article

A study of within-subject reliability of the brain’s default-mode network

Authors: Merel Charlotte Postema, Matteo De Marco, Elisa Colato, Annalena Venneri

Published in: Magnetic Resonance Materials in Physics, Biology and Medicine | Issue 3/2019

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Abstract

Objective

Resting-state functional magnetic resonance imaging (fMRI) is promising for Alzheimer’s disease (AD). This study aimed to examine short-term reliability of the default-mode network (DMN), one of the main haemodynamic patterns of the brain.

Materials and methods

Using a 1.5 T Philips Achieva scanner, two consecutive resting-state fMRI runs were acquired on 69 healthy adults, 62 patients with mild cognitive impairment (MCI) due to AD, and 28 patients with AD dementia. The anterior and posterior DMN and, as control, the visual-processing network (VPN) were computed using two different methodologies: connectivity of predetermined seeds (theory-driven) and dual regression (data-driven). Divergence and convergence in network strength and topography were calculated with paired t tests, global correlation coefficients, voxel-based correlation maps, and indices of reliability.

Results

No topographical differences were found in any of the networks. High correlations and reliability were found in the posterior DMN of healthy adults and MCI patients. Lower reliability was found in the anterior DMN and in the VPN, and in the posterior DMN of dementia patients.

Discussion

Strength and topography of the posterior DMN appear relatively stable and reliable over a short-term period of acquisition but with some degree of variability across clinical samples.
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Metadata
Title
A study of within-subject reliability of the brain’s default-mode network
Authors
Merel Charlotte Postema
Matteo De Marco
Elisa Colato
Annalena Venneri
Publication date
01-06-2019
Publisher
Springer International Publishing
Published in
Magnetic Resonance Materials in Physics, Biology and Medicine / Issue 3/2019
Print ISSN: 0968-5243
Electronic ISSN: 1352-8661
DOI
https://doi.org/10.1007/s10334-018-00732-0

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