Exploring the relationship between larmor-frequency electrical conductivity, diffusivity, and tissue volume in the aging brain

These findings suggest that increased conductivity is associated with altered diffusivity and reduced cognitive performance, suggesting the use of MREPT to differentiate between conductivity changes due to ion mobility versus proton density, and how this approach contributes to understanding the aging brain and neurodegeneration. MREPT-derived measurements primarily reflect ion mobility and caution that clinical interpretations should consider the direct relationships between conductivity and diffusion changes.

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Publication Details

Journal
Quantitative Imaging in Medicine and Surgery
Published
2025-04-30
DOI
https://doi.org/10.21037/qims-24-2145
Citations
1
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
0.84
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article

Exploring the relationship between larmor-frequency electrical conductivity, diffusivity, and tissue volume in the aging brain

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1 citations
Quantitative Imaging in Medicine and Surgery
Brain Tumor Detection and Classification
0.84
article

Exploring the relationship between larmor-frequency electrical conductivity, diffusivity, and tissue volume in the aging brain

Hak Young Rhee, Taejun Park, Mun Bae Lee, Soonchan Park, Geon‐Ho Jahng, Chang‐Woo Ryu, Yunjeong Choi, Hae-Woong Kwon
article en
1 citations

Abstract

These findings suggest that increased conductivity is associated with altered diffusivity and reduced cognitive performance, suggesting the use of MREPT to differentiate between conductivity changes due to ion mobility versus proton density, and how this approach contributes to understanding the aging brain and neurodegeneration. MREPT-derived measurements primarily reflect ion mobility and caution that clinical interpretations should consider the direct relationships between conductivity and diffusion changes.

Quantitative Imaging in Medicine and SurgeryVol. 15(5)
Konkuk University (KR), Kyung Hee University (KR), Kyung Hee University Hospital at Gangdong (KR)
Openalex Percentile: Top 27%
Brain Tumor Detection and Classification
0.84
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