Spatiotemporal variations of magnetic susceptibility in the deep gray matter nuclei from 1 month to 6 years

A quantitative susceptibility mapping study

Ning Ning, Congcong Liu, Peng Wu, Yajie Hu, Weishan Zhang, Lei Zhang, Mengxuan Li, Sung Min Gho, Donghyun Kim, Hua Guo, Jian Yang, Chao Jin

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
JournalJournal of Magnetic Resonance Imaging
DOIs
Publication statusAccepted/In press - 2018 Jan 1

Fingerprint

Iron
Globus Pallidus
Brain
Corpus Callosum
Caudate Nucleus
Putamen
Gray Matter
Least-Squares Analysis
Thalamus
Artifacts
Analysis of Variance
Angiography
Retrospective Studies
Age Groups

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

Cite this

Ning, Ning ; Liu, Congcong ; Wu, Peng ; Hu, Yajie ; Zhang, Weishan ; Zhang, Lei ; Li, Mengxuan ; Gho, Sung Min ; Kim, Donghyun ; Guo, Hua ; Yang, Jian ; Jin, Chao. / Spatiotemporal variations of magnetic susceptibility in the deep gray matter nuclei from 1 month to 6 years : A quantitative susceptibility mapping study. In: Journal of Magnetic Resonance Imaging. 2018.
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title = "Spatiotemporal variations of magnetic susceptibility in the deep gray matter nuclei from 1 month to 6 years: A quantitative susceptibility mapping study",
abstract = "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.",
author = "Ning Ning and Congcong Liu and Peng Wu and Yajie Hu and Weishan Zhang and Lei Zhang and Mengxuan Li and Gho, {Sung Min} and Donghyun Kim and Hua Guo and Jian Yang and Chao Jin",
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Spatiotemporal variations of magnetic susceptibility in the deep gray matter nuclei from 1 month to 6 years : A quantitative susceptibility mapping study. / Ning, Ning; Liu, Congcong; Wu, Peng; Hu, Yajie; Zhang, Weishan; Zhang, Lei; Li, Mengxuan; Gho, Sung Min; Kim, Donghyun; Guo, Hua; Yang, Jian; Jin, Chao.

In: Journal of Magnetic Resonance Imaging, 01.01.2018.

Research output: Contribution to journalArticle

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T1 - Spatiotemporal variations of magnetic susceptibility in the deep gray matter nuclei from 1 month to 6 years

T2 - A quantitative susceptibility mapping study

AU - Ning, Ning

AU - Liu, Congcong

AU - Wu, Peng

AU - Hu, Yajie

AU - Zhang, Weishan

AU - Zhang, Lei

AU - Li, Mengxuan

AU - Gho, Sung Min

AU - Kim, Donghyun

AU - Guo, Hua

AU - Yang, Jian

AU - Jin, Chao

PY - 2018/1/1

Y1 - 2018/1/1

N2 - 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.

AB - 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.

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