ArticleNature communications2021
Accelerated functional brain aging in pre-clinical familial Alzheimer's disease.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 2 of them syntheses 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.
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Who cites it
54 citing papers in PubMed, 2 syntheses or guidelines pooled it, 96 citations in OpenAlex.
- Neuroimaging Insights into the Public Health Burden of Neuropsychiatric Disorders: A Systematic Review of Electroencephalography-Based Cognitive Biomarkers.Medicina (Kaunas, Lithuania) · 2025Pooled it
- The application value of Rs-fMRI-based machine learning models for differentiating mild cognitive impairment from Alzheimer's disease: a systematic review and meta-analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Pooled it
- Trial
- Intratumoral and Peritumoral Functional Connectivity Reveals Network-Level Signatures of Glioma.MedComm · 2026Article
- Investigating the Contribution of Molecular-Enriched Functional Connectivity to Brain-Age Analysis.Human brain mapping · 2026Article
- A comparative evaluation of brain MRI modalities, modality-specific measures, brain regions, and cognitive tests for brain age prediction.GeroScience · 2026Article
- Source-space EEG alpha activity reveals brain age gaps due to neurodegeneration and disparity.Communications biology · 2026Article
- Functional system-specific brain aging across the Alzheimer's disease continuum.Translational psychiatry · 2026Article
- Early detection of Alzheimer's disease via multimodal MRI and machine learning.Frontiers in aging neuroscience · 2026Article
- Deep learning-based brain age predicts stroke recurrence in acute ischemic cerebrovascular disease.NPJ digital medicine · 2025Article
- Functional network collapse in neurodegenerative disease.Nature communications · 2025Article
- Human Brain Cell-Type-Specific Aging Clocks Based on Single-Nuclei Transcriptomics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Investigating the Contribution of Molecular-Enriched Functional Connectivity to Brain-Age Analysis.bioRxiv : the preprint server for biology · 2025Article
- When Age Is More Than a Number: Acceleration of Brain Aging in Neurodegenerative Diseases.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025Article
- Prediction of mild cognitive impairment progression using time-sensitive multimodal biomarkers.medRxiv : the preprint server for health sciences · 2025Article
- Neuroanatomical aging diversity of Alzheimer's disease revealed by BrainAGE.CNS spectrums · 2025Article
- Functional Connectome of Superagers Reveals Early Markers of Resilience and Vulnerability to Alzheimer's Disease.bioRxiv : the preprint server for biology · 2025Article
- Prediction of Alzheimer's Disease Based on Multi-Modal Domain Adaptation.Brain sciences · 2025Article
- Early-Life Adversity Predicts Markers of Aging-Related Neuroinflammation, Neurodegeneration, and Cognitive Impairment in Women.Annals of neurology · 2025Article
- Topological signatures of brain dynamics: persistent homology reveals individuality and brain-behavior links.Frontiers in human neuroscience · 2025Article
Corrections and comments
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Authors and funding
21 authors at 20 institutions in 8 countries.
Funding
Abstract
Resting state functional connectivity (rs-fMRI) is impaired early in persons who subsequently develop Alzheimer's disease (AD) dementia. This impairment may be leveraged to aid investigation of the pre-clinical phase of AD. We developed a model that predicts brain age from resting state (rs)-fMRI data, and assessed whether genetic determinants of AD, as well as beta-amyloid (Aβ) pathology, can accelerate brain aging. Using data from 1340 cognitively unimpaired participants between 18-94 years of age from multiple sites, we showed that topological properties of graphs constructed from rs-fMRI can predict chronological age across the lifespan. Application of our predictive model to the context of pre-clinical AD revealed that the pre-symptomatic phase of autosomal dominant AD includes acceleration of functional brain aging. This association was stronger in individuals having significant Aβ pathology.
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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.