Comparison of quantitative susceptibility mapping with source separation in full-term, moderate-to-late preterm, and very preterm brains

Motivation: Estimating myelin and iron content in the preterm brain may identify early biomarkers of neurodevelopmental impairments. Goal(s): To find differences in positive and negative susceptibilities between preterm and full-term infants. Approach: Quantitative susceptibility mapping with R2*-based source separation was performed in newborns at a postmenstrual age of 37-43 weeks. Regional susceptibilities were compared qualitatively and quantitatively among full-term, moderate-to-late, and very preterm newborns. Results: Very preterm newborns showed significantly lower positive susceptibility in cortical gray matter, white matter, and frontal and parietal lobes, and significantly higher negative susceptibility in all regions except the occipital lobe compared to full-term newborns. Impact: This study demonstrated significant differences in positive and negative susceptibilities between very preterm and full-term born infants, suggesting that quantitative susceptibility mapping with source separation may help early detection of iron deficiency and delayed myelination in preterm-born infants.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/2252
Primary Topic
Neonatal and fetal brain pathology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparison of quantitative susceptibility mapping with source separation in full-term, moderate-to-late preterm, and very preterm brains

Zungho Zun, MinJung Jang, Gloria Chia-Yi Chiang, Alexey Dimov et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Neonatal and fetal brain pathology
article

Comparison of quantitative susceptibility mapping with source separation in full-term, moderate-to-late preterm, and very preterm brains

Zungho Zun, MinJung Jang, Gloria Chia-Yi Chiang, Alexey Dimov, Yi Wang, Duc Thanh Nguyen, Eric Mallack
article en

Abstract

Motivation: Estimating myelin and iron content in the preterm brain may identify early biomarkers of neurodevelopmental impairments. Goal(s): To find differences in positive and negative susceptibilities between preterm and full-term infants. Approach: Quantitative susceptibility mapping with R2*-based source separation was performed in newborns at a postmenstrual age of 37-43 weeks. Regional susceptibilities were compared qualitatively and quantitatively among full-term, moderate-to-late, and very preterm newborns. Results: Very preterm newborns showed significantly lower positive susceptibility in cortical gray matter, white matter, and frontal and parietal lobes, and significantly higher negative susceptibility in all regions except the occipital lobe compared to full-term newborns. Impact: This study demonstrated significant differences in positive and negative susceptibilities between very preterm and full-term born infants, suggesting that quantitative susceptibility mapping with source separation may help early detection of iron deficiency and delayed myelination in preterm-born infants.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 65%
Neonatal and fetal brain pathology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.