ArticleNature communications2019
Disentangling molecular alterations from water-content changes in the aging human brain using quantitative MRI.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07759895 (Combination Therapy of Deferiprone and N-Acetylcysteine for Treating Negative Symptoms in Schizophrenia), which is not on this map. Cited by 44 papers.
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.
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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.
Combination Therapy of Deferiprone and N-Acetylcysteine for Treating Negative Symptoms in Schizophrenia
Who cites it
44 citing papers in PubMed.
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- Cortical Microstructural Variations Correlate With Individual Differences in Gamified Exploration-Exploitation Behaviours.Computational psychiatry (Cambridge, Mass.) · 2026Article
- Multimodal Quantitative Parameter Mapping Characterizes Low-dimensional Feature Organization and Tract-specific Signatures in White Matter.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026Article
- Mapping heterogeneous region- and tissue-specific brain ageing patterns using quantitative MRI.Brain communications · 2026Article
- Microstructural Brain Correlates of Inter-individual Differences in Respiratory Interoception.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Multiparametric quantitative MRI uncovers putamen microstructural changes in Parkinson's disease.NPJ Parkinson's disease · 2025Article
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- Fast and reliable quantitative measures of white matter development with magnetic resonance fingerprinting.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Approximating R1 and R2: A Quantitative Approach to Clinical Weighted MRI.Human brain mapping · 2024Article
- Changes of in vivo electrical conductivity in the brain and torso related to age, fat fraction and sex using MRI.Scientific reports · 2024Article
- Revealing the MRI-Contrast in Optically Cleared Brains.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Biomarkers of Aging and Relevant Evaluation Techniques: A Comprehensive Review.Aging and disease · 2024Review
- A comprehensive protocol for quantitative magnetic resonance imaging of the brain at 3 Tesla.PloS one · 2024Article
- The Contributions of the Cerebellar Peduncles and the Frontal Aslant Tract in Mediating Speech Fluency.Neurobiology of language (Cambridge, Mass.) · 2024Article
- Non-invasive assessment of normal and impaired iron homeostasis in the brain.Nature communications · 2023Article
- Relaxation measurements of an MRI system phantom at low magnetic field strengths.Magma (New York, N.Y.) · 2023Article
- Functional and Structural Properties of Interhemispheric Interaction between Bilateral Precentral Hand Motor Regions in a Top Wheelchair Racing Paralympian.Brain sciences · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It is an open question whether aging-related changes throughout the brain are driven by a common factor or result from several distinct molecular mechanisms. Quantitative magnetic resonance imaging (qMRI) provides biophysical parametric measurements allowing for non-invasive mapping of the aging human brain. However, qMRI measurements change in response to both molecular composition and water content. Here, we present a tissue relaxivity approach that disentangles these two tissue components and decodes molecular information from the MRI signal. Our approach enables us to reveal the molecular composition of lipid samples and predict lipidomics measurements of the brain. It produces unique molecular signatures across the brain, which are correlated with specific gene-expression profiles. We uncover region-specific molecular changes associated with brain aging. These changes are independent from other MRI aging markers. Our approach opens the door to a quantitative characterization of the biological sources for aging, that until now was possible only post-mortem.
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