Unraveling SNAP: distinct patterns of early neurodegeneration through MRI texture analysis
Texture analysis is a sensitive tool for detecting early neurodegenerative changes in SNAP, capturing microstructural changes preceding volume loss. By integrating texture and volume metrics, this study highlights a distinct neurodegenerative trajectory in SNAP. Future research should validate these findings longitudinally and explore the clinical application of texture metrics.
Authors
- Hyukjun Lee (ORCID: https://orcid.org/0009-0004-7511-5272)
- Ji Won Han (ORCID: https://orcid.org/0000-0003-1456-1450)
- Min Jeong Kwon (ORCID: https://orcid.org/0000-0002-9616-870X)
- Ki Woong Kim (ORCID: https://orcid.org/0000-0002-1103-3858)
- Dae Jong Oh (ORCID: https://orcid.org/0000-0002-0195-3490)
- Jun Sung Kim (ORCID: https://orcid.org/0000-0002-4579-8218)
- Sungman Jo (ORCID: https://orcid.org/0009-0001-9733-0473)
- Jieun Park (ORCID: https://orcid.org/0009-0005-5204-3541)
Institutions
- Seoul National University of Science and Technology (KR)
- Seoul National University (KR)
- Seoul National University Hospital (KR)
- Seoul National University Bundang Hospital (KR)
- Kangbuk Samsung Hospital (KR)
- National University College (PR)
- Sungkyunkwan University (KR)
Publication Details
- Journal
- NeuroImage Clinical
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.nicl.2025.103829
- Citations
- 1
- Primary Topic
- Alzheimer's disease research and treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.16