ArticleNeuroImage. Clinical2020
Longitudinal degradation of the default/salience network axis in symptomatic individuals with elevated amyloid burden.
Article in NeuroImage. Clinical, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Functional MRI-Specific Alterations in Salience Network in Mild Cognitive Impairment: An ALE Meta-Analysis.Frontiers in aging neuroscience · 2021Pooled it
- Elevated functional magnetic resonance imaging activity in cognitively normal participants predicts future dementia.Brain communications · 2026Article
- Beyond binary classification: Comparing three region-based multi-phase Aβ staging systems.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Compensation versus deterioration across functional networks in amnestic mild cognitive impairment subtypes.GeroScience · 2025Article
- Association of precuneus Aβ burden with default mode network function.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Analysis of Resting-State Functional Magnetic Resonance Imaging in Alzheimer's Disease.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Longitudinal default mode sub-networks in the language and visual variants of Alzheimer's disease.Brain communications · 2024Article
- Left Frontoparietal Control Network Connectivity Moderates the Effect of Amyloid on Cognitive Decline in Preclinical Alzheimer's Disease: The A4 Study.The journal of prevention of Alzheimer's disease · 2024Article
- Connectome-based modelling of neurodegenerative diseases: towards precision medicine and mechanistic insight.Nature reviews. Neuroscience · 2023Review
- Association of functional connectivity of the executive control network or default mode network with cognitive impairment in older adults with remitted major depressive disorder or mild cognitive impairment.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023Article
- Increasing empathic concern relates to salience network hyperconnectivity in cognitively healthy older adults with elevated amyloid-β burden.NeuroImage. Clinical · 2023Article
- Distinct profiles of functional connectivity density aberrance in Alzheimer's disease and mild cognitive impairment.Frontiers in psychiatry · 2022Article
- Heightened emotion processing as a compensatory mechanism in persons with Alzheimer's disease: Psychological insights from the tri-network model.Frontiers in dementia · 2022Review
- The human connectome in Alzheimer disease - relationship to biomarkers and genetics.Nature reviews. Neurology · 2021Review
- Right Frontoinsular Cortex: A Potential Imaging Biomarker to Evaluate T2DM-Induced Cognitive Impairment.Frontiers in aging neuroscience · 2021Article
- Association of Amyloid-β Pathology with Decision Making and Scam Susceptibility.Journal of Alzheimer's disease : JAD · 2021Article
- Resting-state functional connectivity and amyloid burden influence longitudinal cortical thinning in the default mode network in preclinical Alzheimer's disease.NeuroImage. Clinical · 2020Article
- A longitudinal study of functional brain complexity in progressive Alzheimer's disease.Alzheimer's & dementia (Amsterdam, Netherlands)Article
- Cerebrospinal fluidAlzheimer's & dementia (New York, N. Y.)Article
- Altered resting-state functional connectivity in individuals at risk for Alzheimer's disease: a longitudinal study.International journal of clinical and health psychology : IJCHPArticle
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Resting-state functional connectivity MRI (rs-fcMRI) is a non-invasive imaging technique that has come into increasing use to understand disrupted neural network function in neuropsychiatric disease. However, despite extensive study over the past 15 years, the development of rs-fcMRI as a biomarker has been impeded by a lack of reliable longitudinal rs-fcMRI measures. Here we focus on longitudinal change along the Alzheimer's disease (AD) trajectory and demonstrate the utility of Template Based Rotation (TBR) in detecting differential longitudinal rs-fcMRI change between higher and lower amyloid burden individuals with mildly impaired cognition. Specifically, we examine a small (N = 24), but densely sampled (~5 observations over ~3 years), cohort of symptomatic individuals with serial rs-fcMRI imaging and PiB-PET imaging for β-amyloid pathology. We observed longitudinal decline of the Default Mode and Salience network axis (DMN/SAL) among impaired individuals with high amyloid burden. No other networks showed differential change in high vs. low amyloid individuals over time. The standardized effect size of AD related DMN/SAL change is comparable to the standardized effect size of amyloid-related change on the mini-mental state exam (MMSE) and hippocampal volume (HV). Last, we show that the AD-related change in DMN/SAL connectivity is almost completely independent of change on MMSE or HV, suggesting that rs-fcMRI is sensitive to an aspect of AD progression that is not captured by these other measures. Together these analyses demonstrate that longitudinal rs-fcMRI using TBR can capture disease-relevant network disruption in a clinical population.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.