Associations between iron and mean kurtosis in iron-rich grey matter nuclei in aging
Jason Langley, Kitzia Solis, Vala Masjedizadeh, Murphy Shao, Ilana Bennett, and Xiaoping P. Hu

TL;DR
This study investigates the relationship between mean kurtosis and iron content in grey matter nuclei, finding that kurtosis correlates with iron-sensitive MRI metrics, indicating potential for detecting iron deposits in aging brains.
Contribution
The paper demonstrates a significant correlation between mean kurtosis and iron-sensitive MRI measures in grey matter, highlighting kurtosis as a potential marker for iron accumulation in aging.
Findings
Higher kurtosis in iron-rich grey matter regions of older adults.
Significant correlation between kurtosis and R2*/magnetic susceptibility.
Kurtosis increases with iron concentration in phantom experiments.
Abstract
Elevated kurtosis values have been observed in subcortical grey matter structures of patients with neurodegenerative diseases. Here we tested whether these elevated values are related to iron content, which generate magnetic fields that add to the diffusion encoding gradients. Multi-shell diffusion and multi-echo gradient echo acquisitions were used to derive mean kurtosis and iron measures (R2* and magnetic susceptibility), respectively, in subcortical grey matter nuclei and white matter tracts in a discovery cohort (110 older and 63 younger adults) and replication cohort (72 healthy older adults). Iron-rich grey matter regions exhibited higher mean kurtosis, R2*, and magnetic susceptibility and white matter regions had lower mean kurtosis in the older adult group. In both cohorts, mean kurtosis was significantly correlated with R2* and magnetic susceptibility in iron-rich grey matter…
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