Spatiotemporal variations of magnetic susceptibility in the deep gray matter nuclei from 1 month to 6 years: A quantitative susceptibility mapping study

• Published in: Journal of magnetic resonance imaging 2019-06, Vol.49 (6), p.1600-1609
• Main Authors: Ning, Ning, Liu, Congcong, Wu, Peng, Hu, Yajie, Zhang, Weishan, Zhang, Lei, Li, Mengxuan, Gho, Sung‐Min, Kim, Dong‐Hyun, Guo, Hua, Yang, Jian, Jin, Chao
• Format: Article
• Language: English
• Subjects: Accumulation; Age; Algorithms; Angiography; Brain; brain iron deposition; Caudate nucleus; Children; Corpus callosum; Correlation coefficient; Correlation coefficients; deep gray matter nuclei; Field strength; Globus pallidus; Infants; Iron; Linear equations; Magnetic permeability; Magnetic resonance imaging; Magnetic susceptibility; Mapping; Mathematical analysis; Neuroimaging; Nuclei; Putamen; quantitative susceptibility mapping; Statistical analysis; Statistical tests; Substantia grisea; Thalamus; Variance analysis
• ISSN: 1053-1807; 1522-2586
• DOI: 10.1002/jmri.26579

Background Quantitative susceptibility mapping (QSM) is emerging as a technique that quantifies the paramagnetic nonheme iron in brain tissue. Brain iron quantification during early development provides insights into the underlying mechanism of brain maturation. Purpose To quantify the spatiotemporal variations of brain iron‐related magnetic susceptibility in deep gray matter nuclei during early development by using QSM. Study Type Retrospective. Subjects Eighty‐seven infants and children aged 1 month to 6 years. Field Strength/Sequence Enhanced T2*‐weighted angiography using a 3D gradient‐echo sequence at 3.0T. Assessment QSM was calculated by modified sophisticated harmonic artifact reduction for phase data and sparse linear equations and sparse least squares‐based algorithm. Means of susceptibility in deep gray matter nuclei (caudate nucleus, putamen, globus pallidus, thalamus) relative to that in splenium of corpus callosum were measured. Statistical Tests Relationships of mean susceptibility with age and referenced iron concentration were tested by Pearson correlation. Differences of mean susceptibility between the selected nuclei in each age group were compared by one‐way analysis of variance (ANOVA) and Fisher's Linear Significant Difference (LSD) test. Results Positive correlations of susceptibility with both referenced iron concentration and age were found (P < 0.0001); particularly, globus pallidus showed the highest correlation with age (correlation coefficient, 0.882; slope, 1.203; P < 0.001) and greatest susceptibility (P < 0.05) among the selected nuclei. Data Conclusion QSM allows the feasible quantification of iron deposition in deep gray matter nuclei in infants and young children, which exhibited gradual accumulation at different speeds. The fastest and highest iron accumulation was observed in the globus pallidus with increasing age during early development. Level of Evidence: 4 Technical Efficacy:Stage 2 J. Magn. Reson. Imaging 2018.