Classifying cognitive impairment based on FDG-PET and combined T1-MRI and rs-fMRI: An ADNI study
FDG-PET images produced the highest accuracy in classifying MCI versus CN. While MRI-based approaches were inferior to FDG-PET, multi-contrast MRI still offers value for neurodegeneration classification.
Authors
- Mehdi Delrobaei (ORCID: https://orcid.org/0000-0002-4188-6958)
- Ali Khadem (ORCID: https://orcid.org/0000-0003-4173-5268)
- Bradley J. MacIntosh (ORCID: https://orcid.org/0000-0001-7300-2355)
- Ali Jahani (ORCID: https://orcid.org/0009-0001-6949-6791)
- Iman Jahani (ORCID: https://orcid.org/0009-0003-8831-3799)
Institutions
- Western University (CA)
- Oslo University Hospital (NO)
- Sunnybrook Health Science Centre (CA)
- University of Toronto (CA)
- Ontario Brain Institute (CA)
- Sunnybrook Research Institute
- K. N. Toosi University of Technology (IR)
Publication Details
- Journal
- Journal of Alzheimer s Disease
- Published
- 2024-12-03
- DOI
- https://doi.org/10.1177/13872877241302493
- Citations
- 3
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 1.16
Funders
- Canadian Institutes of Health Research