Evidence map›Paper›PMID 42682517›Full record

ArticleFrontiers in aging neuroscience2026

Using QSM to investigate the iron deposition patterns in deep gray matter nuclei during the aging process in healthy populations.

Xingyu Wang, Yiming Wang, Lin Liu, Ziqi Wang, Qingfeng Zhu, Duo Gao, Xuefang Han, Huandi Lv, Song Zhao, Hong Song and 2 more

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Article in Frontiers in aging neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Xingyu Wang *Department of Medical Imaging, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Yiming Wang *Department of Occupational Health and Environmental Health, School of Public Health, Hebei Medical University, Shijiazhuang, China.
Lin LiuDepartment of Medical Imaging, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Ziqi WangDepartment of Medical Imaging, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Qingfeng ZhuDepartment of Medical Imaging, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Duo GaoDepartment of Medical Imaging, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Xuefang HanDepartment of Medical Imaging, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Huandi LvDepartment of Medical Imaging, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Song ZhaoSchool of Medical Imaging, Hebei Medical University, Shijiazhuang, China.
Hong SongBeijing Institute of Technology, Beijing, China.
Xueshan CaoDepartment of Occupational Health and Environmental Health, School of Public Health, Hebei Medical University, Shijiazhuang, China.
Zuojun GengDepartment of Medical Imaging, The Second Hospital of Hebei Medical University, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: We utilized 3.0T quantitative susceptibility mapping (QSM) technology to simultaneously investigate (a) the relationship between susceptibility values of deep gray matter (DGM) nuclei and age in healthy populations throughout the aging process, and (b) the correlation of iron deposition among DGM nuclei and its potential clinical significance. Methods: QSM images of DGM nuclei were obtained from 100 healthy participants using a 3.0T MRI scanner. Susceptibility values of corresponding DGM nuclei were acquired by manually delineating regions of interest (ROIs). Pearson correlation analysis and univariate regression analysis were performed between age and the susceptibility values of each DGM nucleus. Partial correlation analysis was employed to investigate the relationships between mean susceptibility values across multiple nuclei. Results: Except for the CN, the susceptibility values of the other five DGM nuclei showed a significant positive correlation with age. Among them, the PUT had the strongest correlation with age ( Conclusion: Iron deposition in the PUT exhibits the most significant age dependence; the correlation of iron deposition among nuclei may indicate that specific nuclei share the same iron deposition patterns or are involved in the same pathological mechanisms.

Indexed as

brain iron depositiondeep gray matter nucleimagnetic resonance imagingmagnetic susceptibility valuequantitative susceptibility mapping

Identifiers

PMID42682517
PMCPMC13529694

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