Prediction of neuropathology using the FDG‐PET based patient similarity network
This study highlights the potential of a graph-based SSL pipeline to predict neuropathological changes using FDG-PET imaging data, despite limited pathology labels. The findings underscore the value of SSL in bridging the gap between abundant neuroimaging data and scarce neuropathologic labels, contributing to improved dementia diagnosis and understanding.
Authors
- Val J. Lowe (ORCID: https://orcid.org/0000-0002-5612-1667)
- Dennis W. Dickson (ORCID: https://orcid.org/0000-0001-7189-7917)
- K. Josephs
- Jeffrey L. Gunter (ORCID: https://orcid.org/0000-0001-7813-9078)
- Derek Richard Johnson (ORCID: https://orcid.org/0000-0002-4217-5517)
- John L. Stricker
- Sean J. Huls (ORCID: https://orcid.org/0000-0001-8741-5425)
- Nick Corriveau‐Lecavalier (ORCID: https://orcid.org/0000-0002-6561-9870)
- Jonathan Graff‐Radford
- Brian J. Burkett (ORCID: https://orcid.org/0000-0002-0457-5712)
- Matthew L. Senjem (ORCID: https://orcid.org/0000-0001-9308-9275)
- Aivi T. Nguyen (ORCID: https://orcid.org/0000-0003-1809-9451)
- Aditya Khurana (ORCID: https://orcid.org/0000-0001-9148-9531)
- Gemeng Zhang (ORCID: https://orcid.org/0000-0001-6223-6092)
- Winnie Z. Fan (ORCID: https://orcid.org/0009-0000-7193-4132)
- Venkatsampath Gogineni
- Heather J. Wiste (ORCID: https://orcid.org/0009-0002-8833-2693)
- Melissa E. Murray
- Brad F Boeve
- Hoon‐Ki Min
- Jennifer L. Whitwell
- Mary M. Machulda
- Christopher G Schwarz
- Hugo Botha
- David S. Knopman
- Kejal Kantarci
- Ronald Petersen
- R. Ross Reichard
- Clifford R. Jack
- Leland Barnard
- David T. Jones
Institutions
- Mayo Clinic (US)
- WinnMed (US)
- Mayo Clinic in Arizona (US)
- Mayo Clinic in Florida (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70855_103746
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00