Association of quantitative susceptibility mapping signal in gray matter with clinical characteristics and aging-related MRI markers: The Multi-Ethnic Study of Atherosclerosis

In cross-sectional analyses in a community-based cohort, older age, White race, smoking, diabetes, and greater WMH volume were associated with higher QSM signal in basal ganglia and/or cortical GM. Longitudinal studies are needed to further explore GM QSM signal in relation to cognition and gait in older individuals.

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Publication Details

Journal
NeuroImage Clinical
Published
2025-01-01
DOI
https://doi.org/10.1016/j.nicl.2025.103884
Primary Topic
Cardiac Imaging and Diagnostics
Type
article
Field-Weighted Citation Impact
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article

Association of quantitative susceptibility mapping signal in gray matter with clinical characteristics and aging-related MRI markers: The Multi-Ethnic Study of Atherosclerosis

Alain G. Bertoni, Mohamad Habes, Susan R. Heckbert, Ilya M. Nasrallah et al.
NeuroImage Clinical
Cardiac Imaging and Diagnostics
article

Association of quantitative susceptibility mapping signal in gray matter with clinical characteristics and aging-related MRI markers: The Multi-Ethnic Study of Atherosclerosis

Alain G. Bertoni, Mohamad Habes, Susan R. Heckbert, Ilya M. Nasrallah, Colleen M. Sitlani, Tanweer Rashid, Crystal Franklin, Paul N. Jensen, Sokratis Charisis, R. Nick Bryan, Mariam Mojtabai, David H. Wang, Ana Navas-Acien, W. T. Longstreth
article en

Abstract

In cross-sectional analyses in a community-based cohort, older age, White race, smoking, diabetes, and greater WMH volume were associated with higher QSM signal in basal ganglia and/or cortical GM. Longitudinal studies are needed to further explore GM QSM signal in relation to cognition and gait in older individuals.

NeuroImage ClinicalVol. 48
The University of Texas at San Antonio Health Science Center (US), University of Washington (US), Institute for Neurodegenerative Disorders (US), Department of Health (TW), University of Washington Applied Physics Laboratory (US), Wake Forest University (US), University of Pennsylvania (US)
Openalex Percentile: Top 61%
Cardiac Imaging and Diagnostics
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