scholarly journals Differential default mode network trajectories in asymptomatic individuals at risk for Alzheimer's disease

2019 ◽  
Vol 15 (7) ◽  
pp. 940-950 ◽  
Author(s):  
Patrizia A. Chiesa ◽  
Enrica Cavedo ◽  
Andrea Vergallo ◽  
Simone Lista ◽  
Marie-Claude Potier ◽  
...  
2017 ◽  
Vol 23 (5) ◽  
pp. 395-404 ◽  
Author(s):  
Qing Ye ◽  
Fan Su ◽  
Hao Shu ◽  
Liang Gong ◽  
Chun-Ming Xie ◽  
...  

2009 ◽  
Vol 21 (1-2) ◽  
pp. 77-91 ◽  
Author(s):  
Maija Pihlajamäki ◽  
Reisa A. Sperling

Alzheimer’s disease (AD) is the most common form of dementia in old age, and is characterized by prominent impairment of episodic memory. Recent functional imaging studies in AD have demonstrated alterations in a distributed network of brain regions supporting memory function, including regions of the default mode network. Previous positron emission tomography studies of older individuals at risk for AD have revealed hypometabolism of association cortical regions similar to the metabolic abnormalities seen in AD patients. In recent functional magnetic resonance imaging (fMRI) studies of AD, corresponding brain default mode regions have also been found to demonstrate an abnormal fMRI task-induced deactivation response pattern. That is, the relative decreases in fMRI signal normally observed in the default mode regions in healthy subjects performing a cognitive task are not seen in AD patients, or may even be reversed to a paradoxical activation response. Our recent studies have revealed alterations in the pattern of deactivation also in elderly individuals at risk for AD by virtue of their APOE e4 genotype, or evidence of mild cognitive impairment (MCI). In agreement with recent reports from other groups, these studies demonstrate that the pattern of fMRI task-induced deactivation is progressively disrupted along the continuum from normal aging to MCI and to clinical AD and more impaired in e4 carriers compared to non-carriers. These findings will be discussed in the context of current literature regarding functional imaging of the default network in AD and at-risk populations.


2013 ◽  
Vol 34 (3) ◽  
pp. 641-649 ◽  
Author(s):  
Heather Kenna ◽  
Fumiko Hoeft ◽  
Ryan Kelley ◽  
Tonita Wroolie ◽  
Bevin DeMuth ◽  
...  

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 ◽  
...  

2020 ◽  
Author(s):  
Geoffroy Pierre Gagliardi ◽  
Marion Houot ◽  
Federica Cacciamani ◽  
Marie-Odile Habert ◽  
Bruno Dubois ◽  
...  

Abstract Background Lack of Awareness for Cognitive Decline (ACD) has been described at the preclinical and prodromal stages of Alzheimer’s disease (AD). In this study, we introduced a meta-memory ratio (MMR), and explored how it is associated with neuroimaging AD biomarkers in asymptomatic individuals at risk for AD. Method 448 cognitively healthy participants from two cohorts of subjective memory complainers (INSIGHT-PreAD and ADNI) were included. Regression models were used to assess the impact of AD biomarkers on the MMR. Result In both cohorts, there was a significant quadratic effect of cerebral amyloidosis on the MMR value. In particular, participants had a high ACD up to the amyloid positivity threshold, above which a decrease of ACD was eventually observed as the amyloid load increased. Conclusion This nonlinear evolution of ACD in very early AD must be taken into account in clinical care and for trial enrollment as well.


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