Longitudinal data for magnetic susceptibility of normative human brain development and aging over the lifespan

Yuyao Zhang,Hongjiang Wei,Matthew J Cronin,Naying He,Fuhua Yan,Chunlei Liu

doi:10.1016/j.dib.2018.06.005

Yuyao Zhang, Hongjiang Wei + Show 4 more

Open Access

https://doi.org/10.1016/j.dib.2018.06.005

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Abstract

The data presented in this article accompany the research article entitled “Longitudinal Atlas for Normative Human Brain Development and Aging over the Lifespan using Quantitative Susceptibility Mapping” (Zhang et al., 2018) [1]. The longitudinal evolution of magnetic susceptibility in human brain indicates critical characteristics of normal brain development and aging. In the corresponding research article, we build longitudinal QSM atlases over various age intervals using 166 healthy subjects (83F/69M) with an age range of 1–83 years old. Based on the newly built atlases, we investigate the regional evolutions of magnetic susceptibility in the brain. In this article, we report anatomical evolutions of the age-specific QSM atlases in deep gray matter nuclei and in two selected white matter fiber bundles. In addition to iron-rich brain nuclei, the evolution patterns of the magnetic susceptibility in the amygdala and hippocampus are also presented.

Highlights

The data presented in this article accompany the research article entitled “Longitudinal Atlas for Normative Human Brain Development and Aging over the Lifespan using Quantitative Susceptibility Mapping” (Zhang et al, 2018) [1]
Based on the newly built atlases, we investigate the regional evolutions of magnetic susceptibility in the brain
We report anatomical evolutions of the age-specific QSM atlases in deep gray matter nuclei and in two selected white matter fiber bundles

Summary

Data accessibility

The QSM images were first segmented to 204 brain regions with automated atlas-based image segmentation, and the susceptibility from each region were used for susceptibility evolution model study. Our automated atlas-based susceptibility evolution analysis provided a systematic and comprehensive confirmation of the previous findings on age-related iron accumulation resulting from manual ROI drawings. Conventional T1-weighted (T1w) MRI presents high contrast between cortical gray and white matter, while quantitative susceptibility mapping provides high contrast among iron-rich deep brain nuclei and between deep gray and white matter The QSM(T1w) hybrid images were generated according to Eq (1) in the research paper [1], here the scalar weighting variable μ is empirically set as 0.0025. The hybrid image preserves both enhanced anatomical contrast of deep brain nuclei in the susceptibility map and clear cortical structures defined in the T1-weighted image

Anatomical evolution of age-specific QSM atlases in deep gray matter nuclei

Data acquisition and reconstruction

Atlas-based image segmentation

Fitting susceptibility evolution in the deep gray matter nuclei