ArticleFrontiers in aging neuroscience2015
Common Effects of Amnestic Mild Cognitive Impairment on Resting-State Connectivity Across Four Independent Studies.
Article in Frontiers in aging neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Resting State Abnormalities of the Default Mode Network in Mild Cognitive Impairment: A Systematic Review and Meta-Analysis.Journal of Alzheimer's disease : JAD · 2019Pooled it
- The unique role of anosognosia in the clinical progression of Alzheimer's disease: a disorder-network perspective.Communications biology · 2024Review
- The interplay between insomnia symptoms and Alzheimer's disease across three main brain networks.Sleep · 2024Article
- Interactions between cigarette smoking and cognitive status on functional connectivity of the cortico-striatal circuits in individuals without dementia: A resting-state functional MRI study.CNS neuroscience & therapeutics · 2022Article
- Increased functional connectivity patterns in mild Alzheimer's disease: A rsfMRI study.Frontiers in aging neuroscience · 2022Article
- The role of the medial prefrontal cortex in cognition, ageing and dementia.Brain communications · 2021Review
- Association between composite scores of domain-specific cognitive functions and regional patterns of atrophy and functional connectivity in the Alzheimer's disease spectrum.NeuroImage. Clinical · 2021Article
- Reducing Inter-Site Variability for Fluctuation Amplitude Metrics in Multisite Resting State BOLD-fMRI Data.Neuroinformatics · 2021Article
- Why Is Aging a Risk Factor for Cognitive Impairment in Parkinson's Disease?-A Resting State fMRI Study.Frontiers in neurology · 2019Article
- Neural response to working memory demand predicts neurocognitive deficits in HIV.Journal of neurovirology · 2018Article
- Resting-state network dysfunction in Alzheimer's disease: A systematic review and meta-analysis.Alzheimer's & dementia (Amsterdam, Netherlands) · 2017Article
- The cingulate cortex of older adults with excellent memory capacity.Cortex; a journal devoted to the study of the nervous system and behavior · 2017Article
- Multicenter stability of resting state fMRI in the detection of Alzheimer's disease and amnestic MCI.NeuroImage. Clinical · 2017Article
- A dataset of multiresolution functional brain parcellations in an elderly population with no or mild cognitive impairment.Data in brief · 2016Article
Corrections and comments
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Authors and funding
15 authors.
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Abstract
Resting-state functional connectivity is a promising biomarker for Alzheimer's disease. However, previous resting-state functional magnetic resonance imaging studies in Alzheimer's disease and amnestic mild cognitive impairment (aMCI) have shown limited reproducibility as they have had small sample sizes and substantial variation in study protocol. We sought to identify functional brain networks and connections that could consistently discriminate normal aging from aMCI despite variations in scanner manufacturer, imaging protocol, and diagnostic procedure. We therefore combined four datasets collected independently, including 112 healthy controls and 143 patients with aMCI. We systematically tested multiple brain connections for associations with aMCI using a weighted average routinely used in meta-analyses. The largest effects involved the superior medial frontal cortex (including the anterior cingulate), dorsomedial prefrontal cortex, striatum, and middle temporal lobe. Compared with controls, patients with aMCI exhibited significantly decreased connectivity between default mode network nodes and between regions of the cortico-striatal-thalamic loop. Despite the heterogeneity of methods among the four datasets, we identified common aMCI-related connectivity changes with small to medium effect sizes and sample size estimates recommending a minimum of 140 to upwards of 600 total subjects to achieve adequate statistical power in the context of a multisite study with 5-10 scanning sites and about 10 subjects per group and per site. If our findings can be replicated and associated with other established biomarkers of Alzheimer's disease (e.g., amyloid and tau quantification), then these functional connections may be promising candidate biomarkers for Alzheimer's disease.
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