EEG-based minimum spanning tree analysis reveals network disruptions in Alzheimer’s disease spectrum: an observational study
AD progression is characterized by frequency-specific alterations in brain network topology, particularly in theta and beta bands, detectable through rsEEG-based MST analysis. These findings suggest EEG-derived network measures may serve as potential biomarkers for early AD diagnosis and monitoring disease progression.
Authors
- Xing Ye
- Yingying Wang (ORCID: https://orcid.org/0009-0004-2153-2927)
- Yixin Yan (ORCID: https://orcid.org/0000-0003-4167-9745)
- Jingping Shi (ORCID: https://orcid.org/0000-0003-2577-9957)
Institutions
- Xuzhou Medical College (CN)
- Shanghai Public Health Clinical Center (CN)
- Nanjing Brain Hospital (CN)
- Second People’s Hospital of Huai’an (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Frontiers in Aging Neuroscience
- Published
- 2025-09-26
- DOI
- https://doi.org/10.3389/fnagi.2025.1604345
- Citations
- 1
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.43
Funders
- Government of Jiangsu Province