ArticleBrain communications2020
Single-subject grey matter network trajectories over the disease course of autosomal dominant Alzheimer's disease.
Article in Brain communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
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Who cites it
9 citing papers in PubMed, 21 citations in OpenAlex.
- Sub-Networks of the Brain RHuman brain mapping · 2026Article
- Disrupted single-subject gray matter networks are associated with cognitive decline and cortical atrophy in Alzheimer's disease.Frontiers in neuroscience · 2024Article
- Axonal damage and inflammation response are biological correlates of decline in small-world values: a cohort study in autosomal dominant Alzheimer's disease.Brain communications · 2024Article
- Positron emission tomography and magnetic resonance imaging methods and datasets within the Dominantly Inherited Alzheimer Network (DIAN).Nature neuroscience · 2023Article
- Age and Sex-Related Effects on Single-Subject Gray Matter Networks in Healthy Participants.Journal of personalized medicine · 2023Article
- Article
- The human connectome in Alzheimer disease - relationship to biomarkers and genetics.Nature reviews. Neurology · 2021Review
- Tau-related grey matter network breakdown across the Alzheimer's disease continuum.Alzheimer's research & therapy · 2021Article
- Detecting early changes in Alzheimer's disease with graph theory.Brain communications · 2020Article
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Authors and funding
32 authors at 15 institutions in 6 countries.
Funding
Abstract
Structural grey matter covariance networks provide an individual quantification of morphological patterns in the brain. The network integrity is disrupted in sporadic Alzheimer's disease, and network properties show associations with the level of amyloid pathology and cognitive decline. Therefore, these network properties might be disease progression markers. However, it remains unclear when and how grey matter network integrity changes with disease progression. We investigated these questions in autosomal dominant Alzheimer's disease mutation carriers, whose conserved age at dementia onset allows individual staging based upon their estimated years to symptom onset. From the Dominantly Inherited Alzheimer Network observational cohort, we selected T
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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.