ArticleNeuroImage2018
Longitudinal atlas for normative human brain development and aging over the lifespan using quantitative susceptibility mapping.
Article in NeuroImage, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 1 of them a synthesis that pooled it.
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Who cites it
72 citing papers in PubMed, 1 synthesis or guideline pooled it, 133 citations in OpenAlex.
- Automated Segmentation of Tissues Using CT and MRI: A Systematic Review.Academic radiology · 2019Pooled it
- Does quantitative susceptibility mapping elucidate age-related alterations in deep gray matter iron deposition? A systematic review.Radiological physics and technology · 2026Review
- Test-retest reliability of resting-state functional magnetic resonance imaging during deep brain stimulation for Parkinson's disease.NeuroImage. Clinical · 2026Article
- Preoperative Functional Connectivity Predicts Antiparkinson Drug Change after Deep Brain Stimulation.Movement disorders : official journal of the Movement Disorder Society · 2026Article
- Observations of anisotropic paramagnetic and diamagnetic susceptibility in the primate brain.bioRxiv : the preprint server for biology · 2025Article
- Magnetic susceptibility properties of tumor-associated cells imaged by MRI reveal glioblastoma infiltration in the edema region.Communications medicine · 2025Article
- Midbrain and pallidal iron changes identify patients with REM sleep behaviour disorder and Parkinson's disease.NPJ Parkinson's disease · 2025Article
- Comparison study of quantitative susceptibility mapping with GRAPPA and wave-CAIPI: reproducibility, consistency, and microbleeds detection.Japanese journal of radiology · 2025Article
- Magnetic susceptibility components reveal different aspects of neurodegeneration in alpha-synucleinopathies.Scientific reports · 2025Article
- Normative trajectories of RImaging neuroscience (Cambridge, Mass.) · 2025Article
- IRONMAP: Iron network mapping and analysis protocol for detecting over-time brain iron abnormalities in neurological disease.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Spherical echo-planar time-resolved imaging (sEPTI) for rapid 3D quantitativeMagnetic resonance in medicine · 2025Article
- Neuroimaging of posttraumatic stress disorder in adults and youth: progress over the last decade on three leading questions of the field.Molecular psychiatry · 2024Review
- Quantitative susceptibility mapping in the brain reflects spatial expression of genes involved in iron homeostasis and myelination.Human brain mapping · 2024Article
- Spatiotemporal patterns of brain iron-oxygen metabolism in patients with Parkinson's disease.European radiology · 2024Article
- Association between urinary mixture metal levels and olfactory function in coal miners.Frontiers in public health · 2024Article
- Automated segmentation of midbrain nuclei using deep learning and multisequence MRI: A longitudinal study on iron accumulation with age.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Quantifying neuroinflammation within deep gray matter in small vessel disease using diffusion tensor based free-water imaging: a longitudinal study.Frontiers in aging neuroscience · 2024Article
- Iron load in the normal aging brain measured with QSM andFrontiers in neuroimaging · 2024Article
- Sub-voxel quantitative susceptibility mapping for assessing whole-brain magnetic susceptibility from ages 4 to 80.Human brain mapping · 2023Article
12 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
6 authors at 2 institutions in 2 countries.
Funding
Abstract
Longitudinal brain atlases play an important role in the study of human brain development and cognition. Existing atlases are mainly based on anatomical features derived from T1-and T2-weighted MRI. A 4D developmental quantitative susceptibility mapping (QSM) atlas may facilitate the estimation of age-related iron changes in deep gray matter nuclei and myelin changes in white matter. To this end, group-wise co-registered QSM templates were generated over various age intervals from age 1-83 years old. Registration was achieved by combining both T1-weighted and QSM images. Based on the proposed template, we created an accurate deep gray matter nuclei parcellation map (DGM map). Notably, we segmented thalamus into 5 sub-regions, i.e. the anterior nuclei, the median nuclei, the lateral nuclei, the pulvinar and the internal medullary lamina. Furthermore, we built a "whole brain QSM parcellation map" by combining existing cortical parcellation and white-matter atlases with the proposed DGM map. Based on the proposed QSM atlas, the segmentation accuracy of iron-rich nuclei using QSM is significantly improved, especially for children and adolescent subjects. The age-related progression of magnetic susceptibility in each of the deep gray matter nuclei, the hippocampus, and the amygdala was estimated. Our automated atlas-based analysis provided a systematic confirmation of previous findings on susceptibility progression with age resulting from manual ROI drawings in deep gray matter nuclei. The susceptibility development in the hippocampus and the amygdala follow an iron accumulation model; while in the thalamus sub-regions, the susceptibility development exhibits a variety of trends. It is envisioned that the newly developed 4D QSM atlas will serve as a template for studying brain iron deposition and myelination/demyelination in both normal aging and various brain diseases.
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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.