ArticleeLife2021
Integrated transcriptomic and neuroimaging brain model decodes biological mechanisms in aging and Alzheimer's disease.
Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
31 citing papers in PubMed, 38 citations in OpenAlex.
- Diffusion MRI reveals amyloid plaque-associated cellular signatures through spatial transcriptomic integration.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Application of the Allen Human Brain Atlas in Alzheimer's disease and Parkinson's disease.Translational neurodegeneration · 2026Review
- Article
- Multiparametric MRI and imaging transcriptomics reveal molecular and cellular correlates of neurodegeneration in experimental Parkinsonism.NPJ Parkinson's disease · 2026Article
- Functional system-specific brain aging across the Alzheimer's disease continuum.Translational psychiatry · 2026Article
- VFLING: Vertical Federated Learning for Multi-Omics Data Integration with Graphs.Interdisciplinary sciences, computational life sciences · 2026Article
- The cellular choreography of brain aging: a neuroimmune network perspective.Frontiers in aging neuroscience · 2026Review
- Reframing brain aging: neuroinflammation as an interconnected network process.Frontiers in aging · 2026Review
- Molecular and neuropathological determinants of neuronal dysfunction in Alzheimer's disease.bioRxiv : the preprint server for biology · 2025Article
- White matter dysfunction in Alzheimer's disease is associated with disease-related transcriptomic signatures.Communications biology · 2025Article
- Translating the Post-Mortem Brain Multi-Omics Molecular Taxonomy of Alzheimer's Dementia to Living Humans.bioRxiv : the preprint server for biology · 2025Article
- Patient-centered brain transcriptomic and multimodal imaging determinants of clinical progression, physical activity, and treatment needs in Parkinson's disease.NPJ Parkinson's disease · 2025Article
- The Association between the rs6656401 Locus of the CR1 Gene and Structural Alterations of Brain Effects in Han Chinese Patients with Alzheimer's Disease.Current Alzheimer research · 2025Article
- Opportunities for use of neuroimaging in de-risking drug development and improving clinical outcomes in psychiatry: an industry perspective.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
- Beyond the usual suspects: multi-factorial computational models in the search for neurodegenerative disease mechanisms.Translational psychiatry · 2024Review
- Integrating amyloid and tau imaging with proteomics and genomics in Alzheimer's disease.Cell reports. Medicine · 2024Review
- Single-neuron analysis of aging-associated changes in learning reveals impairments in transcriptional plasticity.Aging cell · 2024Article
- Identification of Autophagy-Related Candidate Genes in the Early Diagnosis of Alzheimer's Disease and Exploration of Potential Molecular Mechanisms.Molecular neurobiology · 2024Article
- Personalized whole-brain neural mass models reveal combined Aβ and tau hyperexcitable influences in Alzheimer's disease.Communications biology · 2024Article
- Paradigm shift required for translational research on the brain.Experimental & molecular medicine · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Both healthy aging and Alzheimer's disease (AD) are characterized by concurrent alterations in several biological factors. However, generative brain models of aging and AD are limited in incorporating the measures of these biological factors at different spatial resolutions. Here, we propose a personalized bottom-up spatiotemporal brain model that accounts for the direct interplay between hundreds of RNA transcripts and multiple macroscopic neuroimaging modalities (PET, MRI). In normal elderly and AD participants, the model identifies top genes modulating tau and amyloid-β burdens, vascular flow, glucose metabolism, functional activity, and atrophy to drive cognitive decline. The results also revealed that AD and healthy aging share specific biological mechanisms, even though AD is a separate entity with considerably more altered pathways. Overall, this personalized model offers novel insights into the multiscale alterations in the elderly brain, with important implications for identifying effective genetic targets for extending healthy aging and treating AD progression.
Indexed as
Identifiers
What OpenQuestion holds
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.