ArticleNeuroImage2015
Age and sex related differences in subcortical brain iron concentrations among healthy adults.
Article in NeuroImage, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 1 of them a synthesis that pooled it.
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Who cites it
80 citing papers in PubMed, 1 synthesis or guideline pooled it, 132 citations in OpenAlex.
- Putamen iron quantification in diseases with neurodegeneration: a meta-analysis of the quantitative susceptibility mapping technique.Brain imaging and behavior · 2024Pooled it
- Effects of iron repletion on brain iron content, myelination, neural network activation, and cognition.JCI insight · 2025Trial
- Increased iron deposition in nucleus accumbens associated with disease progression and chronicity in migraine.BMC medicine · 2023Trial
- Brain oxygen extraction fraction mapping in patients with multiple sclerosis.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022Trial
- Association Between Deep Gray Matter Iron Deposition Dysregulation and Cognitive Performance in Type 2 Diabetes Mellitus Patients: A Quantitative Susceptibility Mapping Study.Journal of magnetic resonance imaging : JMRI · 2026Article
- Submillimeter postmortem and in vivo diffusion and susceptibility magnetic resonance imaging to characterize cortical micro- and meso-structures.Research square · 2026Article
- Regulation of brain iron homeostasis and its influence on cognitive function.European radiology · 2026Article
- Acute susceptibility changes of deep gray matter nuclei to gadobutrol: a prospective longitudinal study using quantitative susceptibility mapping.Quantitative imaging in medicine and surgery · 2026Article
- Excess iron in deep gray matter is associated with cognitive and functional decline: The mediating role of white matter myelin.NeuroImage · 2026Article
- Sex-dependent dopaminergic vulnerability may contribute to sex differences in Parkinson's disease risk.Brain communications · 2026Article
- Using QSM to investigate the iron deposition patterns in deep gray matter nuclei during the aging process in healthy populations.Frontiers in aging neuroscience · 2026Article
- Longitudinal insights from iron accumulation in motor system of prodromal and clinical Parkinson's disease.NPJ Parkinson's disease · 2025Article
- Imaging of Cerebral Iron as an Emerging Marker for Brain Aging, Neurodegeneration, and Cerebrovascular Diseases.Brain sciences · 2025Review
- Increased cortical iron deposition in glioma patients: a quantitative susceptibility mapping study.Journal of neuro-oncology · 2025Article
- Post-mortem human Alzheimer´s brain metallome depends on Braak stages and brain regions.Scientific reports · 2025Article
- Quantitative susceptibility mapping study of deep gray matter iron content in glioma patients.Quantitative imaging in medicine and surgery · 2025Article
- Midbrain and pallidal iron changes identify patients with REM sleep behaviour disorder and Parkinson's disease.NPJ Parkinson's disease · 2025Article
- Sensitivity of Quantitative Susceptibility Mapping for Clinical Research in Deep Gray Matter.Human brain mapping · 2025Article
- Subcortical brain iron and its link to verbal memory in children with developmental language disorder.Brain and language · 2025Article
- Early brain iron changes in Parkinson's disease and isolated rapid eye movement sleep behaviour disorder: a four-year longitudinal multimodal quantitative MRI study.Brain communications · 2025Article
20 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 3 countries.
Funding
Abstract
Age and sex can influence brain iron levels. We studied the influence of these variables on deep gray matter magnetic susceptibilities. In 183 healthy volunteers (44.7 ± 14.2 years, range 20-69, ♀ 49%), in vivo quantitative susceptibility mapping (QSM) at 1.5T was performed to estimate brain iron accumulation in the following regions of interest (ROIs): caudate nucleus (Cd), putamen (Pt), globus pallidus (Gp), thalamus (Th), pulvinar (Pul), red nucleus (Rn), substantia nigra (Sn) and the cerebellar dentate nuclei (Dn). We gauged the influence of age and sex on magnetic susceptibility by specifying a series of structural equation models. The distributions of susceptibility varied in degree across the structures, conforming to histologic findings (Hallgren and Sourander, 1958), with the highest degree of susceptibility in the Gp and the lowest in the Th. Iron increase correlated across several ROIs, which may reflect an underlying age-related process. Advanced age was associated with a particularly strong linear rise of susceptibility in the striatum. Nonlinear age trends were found in the Rn, where they were the most pronounced, followed by the Pul and Sn, while minimal nonlinear trends were observed for the Pt, Th, and Dn. Moreover, sex related variations were observed, so that women showed lower levels of susceptibility in the Sn after accounting for age. Regional susceptibility of the Pul increased linearly with age in men but exhibited a nonlinear association with age in women with a leveling off starting from midlife. Women expected to be post menopause (+51 years) showed lower total magnetic susceptibility in the subcortical gray matter. The current report not only is consistent with previous reports of age related variations of brain iron, but also adds to the current knowledge by reporting age-related changes in less studied, smaller subcortical nuclei. This is the first in-vivo report to show lower total subcortical brain iron levels selectively in women from midlife, compared to men and younger women. These results encourage further assessment of sex differences in brain iron. We anticipate that age and sex are important co-factors to take into account when establishing a baseline level for differentiating pathologic neurodegeneration from healthy aging. The variations in regional susceptibility reported herein should be evaluated further using a longitudinal study design to determine within-person changes in aging.
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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.