ArticleNeuroImage2021
In vivo evaluation of heme and non-heme iron content and neuronal density in human basal ganglia.
Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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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Who cites it
18 citing papers in PubMed, 34 citations in OpenAlex.
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- Unraveling the major role of vascular (R2') contributions to R2* signal relaxation at ultra-high-field MRI: A comprehensive analysis with quantitative gradient recalled echo in mouse brain.Magnetic resonance in medicine · 2025Article
- Quantum magnetization exchange through transient hydrogen bond matrix defines magnetic resonance signal relaxation and anisotropy in central nervous system.Scientific reports · 2025Article
- In Vivo Characterization of Magnetic Inclusions in the Subcortex From Nonexponential Transverse Relaxation Decay.NMR in biomedicine · 2025Article
- Dependence of brain-tissue RMagnetic resonance in medicine · 2025Article
- Predicting Mesoscopic Larmor Frequency Shifts in White Matter With Diffusion MRI-A Monte Carlo Study in Axonal Phantoms.NMR in biomedicine · 2025Article
- Distinguishing microgliosis and tau deposition in the mouse brain using paramagnetic and diamagnetic susceptibility source separation.Imaging neuroscience (Cambridge, Mass.) · 2025Article
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- Recommended implementation of quantitative susceptibility mapping for clinical research in the brain: A consensus of the ISMRM electro-magnetic tissue properties study group.Magnetic resonance in medicine · 2024Article
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- Distinguishing microgliosis and tau deposition in the mouse brain using paramagnetic and diamagnetic susceptibility source separation.bioRxiv : the preprint server for biology · 2024Article
- Cerebral oxygen metabolism from MRI susceptibility.NeuroImage · 2023Review
- Quantitative MRI identifies lesional and non-lesional abnormalities in MOGAD.Multiple sclerosis and related disorders · 2023Article
- Tissue damage detected by quantitative gradient echo MRI correlates with clinical progression in non-relapsing progressive MS.Multiple sclerosis (Houndmills, Basingstoke, England) · 2022Article
- Microencapsulation of Erythrocytes Extracted fromFoods (Basel, Switzerland) · 2022Article
- Detection of glioblastoma multiforme using quantitative molecular magnetic resonance imaging based on 5-aminolevulinic acid: in vitro and in vivo studies.Magma (New York, N.Y.) · 2022Article
- Novel insights into early Alzheimer's disease: quantitative gradient recalled echo MRI reveals preatrophic neuronal and myelin injury concurrent with emerging amyloid pathology.Alzheimer's & dementia (Amsterdam, Netherlands)Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
Non-heme iron is an important element supporting the structure and functioning of biological tissues. Imbalance in non-heme iron can lead to different neurological disorders. Several MRI approaches have been developed for iron quantification relying either on the relaxation properties of MRI signal or measuring tissue magnetic susceptibility. Specific quantification of the non-heme iron can, however, be constrained by the presence of the heme iron in the deoxygenated blood and contribution of cellular composition. The goal of this paper is to introduce theoretical background and experimental MRI method allowing disentangling contributions of heme and non-heme irons simultaneously with evaluation of tissue neuronal density in the iron-rich basal ganglia. Our approach is based on the quantitative Gradient Recalled Echo (qGRE) MRI technique that allows separation of the total R2
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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.