Review: Efficacy of Neuroimaging Methods on the Prediction of Conversion from MCI to AD in a Clinical Setting
In a clinical setting, there may be limited resources and funding available for such predictive methods, so while the usage of SPECT or FDG-PET may be effective methods in the prediction of MCI-AD conversion in laboratory settings, they require resources that most clinics do not have and utilize radioactive tracers. While EEG is a promising up-and-coming methodology, more research needs to be done on its efficacy in a clinical setting. Based on the current evidence available, MRI (specifically sMRI and DTI) has the highest predictive ability of MCI-AD conversion in a clinical setting.
Authors
- Stephanie Li
Institutions
- Boston University (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70858_096518
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00