scholarly journals Default Mode Network Lateralization and Memory in Healthy Aging and Alzheimer’s Disease

2018 ◽  
Vol 66 (3) ◽  
pp. 1223-1234 ◽  
Author(s):  
Sarah J. Banks ◽  
Xiaowei Zhuang ◽  
Ece Bayram ◽  
Chris Bird ◽  
Dietmar Cordes ◽  
...  
2011 ◽  
Vol 2011 ◽  
pp. 1-9 ◽  
Author(s):  
Katell Mevel ◽  
Gaël Chételat ◽  
Francis Eustache ◽  
Béatrice Desgranges

In the past decade, a “default mode network” (DMN) has been highlighted in neuroimaging studies as a set of brain regions showing increased activity in task-free state compared to cognitively demanding task, and synchronized activity at rest. Changes within this network have been described in healthy aging as well as in Alzheimer's disease (AD) and populations at risk for AD, that is, amnestic Mild Cognitive Impairment (aMCI) patients and APOE-ε4 carriers. This is of particular interest in the context of early diagnosis and more generally for our understanding of the physiopathological mechanisms of AD. This paper gives an overview of the anatomical and physiological characteristics of this network as well as its relationships with cognition, before focusing on changes in the DMN over normal aging and Alzheimer's disease. While perturbations of the DMN have been consistently reported, especially within the posterior cingulate, further studies are needed to understand their clinical implication.


Author(s):  
Yunlong Nie ◽  
Eugene Opoku ◽  
Laila Yasmin ◽  
Yin Song ◽  
Jie Wang ◽  
...  

AbstractWe conduct an imaging genetics study to explore how effective brain connectivity in the default mode network (DMN) may be related to genetics within the context of Alzheimer’s disease and mild cognitive impairment. We develop an analysis of longitudinal resting-state functional magnetic resonance imaging (rs-fMRI) and genetic data obtained from a sample of 111 subjects with a total of 319 rs-fMRI scans from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. A Dynamic Causal Model (DCM) is fit to the rs-fMRI scans to estimate effective brain connectivity within the DMN and related to a set of single nucleotide polymorphisms (SNPs) contained in an empirical disease-constrained set which is obtained out-of-sample from 663 ADNI subjects having only genome-wide data. We relate longitudinal effective brain connectivity estimated using spectral DCM to SNPs using both linear mixed effect (LME) models as well as function-on-scalar regression (FSR). In both cases we implement a parametric bootstrap for testing SNP coefficients and make comparisons with p-values obtained from asymptotic null distributions. In both networks at an initial q-value threshold of 0.1 no effects are found. We report on exploratory patterns of associations with relatively high ranks that exhibit stability to the differing assumptions made by both FSR and LME.


2015 ◽  
Vol 11 (7S_Part_2) ◽  
pp. P91-P91
Author(s):  
Catherine F. Slattery ◽  
Jennifer L. Agustus ◽  
Ross W. Paterson ◽  
Mark J. White ◽  
Alexander J.M. Foulkes ◽  
...  

2017 ◽  
Vol 56 (1) ◽  
pp. 327-334 ◽  
Author(s):  
Xiaozhen Li ◽  
Eric Westman ◽  
Steinunn Thordardottir ◽  
Anne Kinhult Ståhlbom ◽  
Ove Almkvist ◽  
...  

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