Resting state EEG Theta rhythms in healthy aging and Alzheimer's disease
Theta power and Theta rhythm duration are both linked to cognitive decline in MCI and AD but differ from healthy aging patterns. While Theta power reflects age-related changes, Theta rhythms duration may serve as a specific biomarker for disease progression in MCI and AD. These findings support the value of Rhythmicity analysis in EEG-based biomarkers of cognitive decline.
Authors
- Amir H. Meghdadi (ORCID: https://orcid.org/0000-0001-7863-6488)
- Joanne M. Hamilton
- Chris Berka (ORCID: https://orcid.org/0000-0003-1566-2907)
- David H. Salat (ORCID: https://orcid.org/0000-0002-2246-9657)
- Chenfei Ma (ORCID: https://orcid.org/0000-0003-3136-0765)
- Erik K. St. Louis (ORCID: https://orcid.org/0000-0002-2833-8826)
- Brad F Boeve
- Ella J Thunen
- Corinne E. Fischer
Institutions
- St. Michael's Hospital (CA)
- Scripps Health (US)
- Harvard University (US)
- Massachusetts General Hospital (US)
- Mayo Clinic in Arizona (US)
- Advanced Brain Monitoring (United States) (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70856_103986
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00