scholarly journals Resting-state network dysfunction in Alzheimer’s disease: a systematic review and meta-analysis

2017 ◽  
Author(s):  
AmanPreet Badhwar ◽  
Angela Tam ◽  
Christian Dansereau ◽  
Pierre Orban ◽  
Felix Hoffstaedter ◽  
...  
Keyword(s):  
Systematic Review ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Resting State ◽  
Meta Analysis ◽  
Functional Magnetic Resonance ◽  
Default Mode ◽  
Spatial Consistency ◽  
Resting State Connectivity ◽  
The Brain

ABSTRACTINTRODUCTIONWe performed a systematic review and meta-analysis of the Alzheimer’s disease (AD) literature to examine consistency of functional connectivity alterations in AD dementia and mild cognitive impairment (MCI), using resting-state functional magnetic resonance imaging (rsfMRI).METHODSStudies were screened using a standardized procedure. Multiresolution statistics were performed to assess the spatial consistency of findings across studies.RESULTSThirty-four studies were included (1,363 participants, average 40 per study). Consistent alterations in connectivity were found in the default-mode, salience and limbic networks in patients with AD dementia, MCI, or in both groups. We also identified a bias in the literature towards specific examination of the default-mode network.DISCUSSIONConvergent evidence across the literature supports the use of resting-state connectivity as a biomarker of AD. The locations of consistent alterations suggest that metabolically expensive hub regions in the brain might be an early target of AD.

scholarly journals Resting‐state network dysfunction in Alzheimer's disease: A systematic review and meta‐analysis

2017 ◽  
Vol 8 (1) ◽  
pp. 73-85 ◽  
Author(s):  
AmanPreet Badhwar ◽  
Angela Tam ◽  
Christian Dansereau ◽  
Pierre Orban ◽  
Felix Hoffstaedter ◽  
...  
Keyword(s):  
Systematic Review ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Resting State ◽  
Meta Analysis ◽  
Resting State Network

IC-P-033: Resting-State Network Dysfunction in Alzheimer’s Disease: A Systematic Review and Meta-Analysis

2016 ◽  
Vol 12 ◽  
pp. P31-P32 ◽  
Author(s):  
AmanPreet Badhwar ◽  
Angela Tam ◽  
Christain Dansereau ◽  
Pierre Orban ◽  
Roberto Toro ◽  
...  
Keyword(s):  
Systematic Review ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Resting State ◽  
Meta Analysis ◽  
Resting State Network

O3-08-02: Resting-State Network Dysfunction in Alzheimer's Disease: A Systematic Review And Meta-Analysis

2016 ◽  
Vol 12 ◽  
pp. P303-P304
Author(s):  
AmanPreet Badhwar ◽  
Angela Tam ◽  
Christain Dansereau ◽  
Pierre Orban ◽  
Roberto Toro ◽  
...  
Keyword(s):  
Systematic Review ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Resting State ◽  
Meta Analysis ◽  
Resting State Network

Spectral dynamic causal modelling of resting-state fMRI: an exploratory study relating effective brain connectivity in the default mode network to genetics

2020 ◽  
Vol 19 (3) ◽  
Author(s):  
Yunlong Nie ◽  
Eugene Opoku ◽  
Laila Yasmin ◽  
Yin Song ◽  
Jie Wang ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Default Mode Network ◽  
Resting State ◽  
Brain Connectivity ◽  
Parametric Bootstrap ◽  
Imaging Genetics ◽  
Nucleotide Polymorphisms ◽  
Mixed Effect ◽  
Default Mode

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.

The Associations of Plasma/Serum Carotenoids with Alzheimer’s Disease: A Systematic Review and Meta-Analysis

2021 ◽  
pp. 1-12
Author(s):  
Mingyue Qu ◽  
Hanxu Shi ◽  
Kai Wang ◽  
Xinggang Wang ◽  
Nan Yu ◽  
...  
Keyword(s):  
Systematic Review ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Meta Analysis ◽  
Scoring Systems ◽  
Serum Levels ◽  
Epidemiological Studies ◽  
Pooled Analysis ◽  
Protective Effects ◽  
Mean Differences

Background: Multiple lines of evidence indicate protective effects of carotenoids in Alzheimer’s disease (AD). However, previous epidemiological studies reported inconsistent results regarding the associations between carotenoids levels and the risk of AD. Objective: Our study aims to evaluate the associations of six major members of carotenoids with the occurrence of AD by conducting a systematic review and meta-analysis. Methods: Following PRISMA guidelines, a comprehensive literature search of PubMed, Web of Science, Ebsco, and PsycINFO databases was conducted, and the quality of each included studies was evaluated by a validated scoring systems. Standardized mean differences (SMD) with 95%confidence intervals (CI) were determined by using a random effects model. Heterogeneity was evaluated by I2 statistics. Publication bias was detected using funnel plots and Egger’s test. Results: Sixteen studies, with 10,633 participants were included. Pooled analysis showed significantly lower plasma/serum levels of lutein (SMD = –0.86, 95%CI: –1.67 to –0.05, p = 0.04) and zeaxanthin (SMD = –0.59; 95%CI: –1.12 to –0.06, p = 0.03) in patients with AD versus cognitively intact controls, while α-carotene (SMD = 0.21, 95%CI: –0.68 to 0.26, p = 0.39), β-carotene (SMD = 0.04, 95%CI: –0.57 to 0.65, p = 0.9), lycopene (SMD = –0.12, 95%CI: –0.96 to 0.72, p = 0.78), and β-cryptoxanthin (SMD = –0.09, 95%CI: –0.83 to 0.65, p = 0.81) did not achieve significant differences. Conclusion: Of six major members of carotenoids, only lutein and zeaxanthin concentrations in plasma/serum were inversely related to the risk of AD. More high-quality longitudinal studies are needed to verify these findings.

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