A fast, machine learning‐based pipeline for atrophy subtyping and staging in Alzheimer’s disease
Assessing brain atrophy within the context of a global progression framework enables a more comprehensive evaluation than relying on single volume measures or isolated metrics. This work demonstrates that atrophy progression models can be adapted for real-world settings, including those without access to high-field MRI.
Authors
- Emrah Düzel (ORCID: https://orcid.org/0000-0002-0139-5388)
- Anja Schneider (ORCID: https://orcid.org/0000-0002-3377-5828)
- Robert Perneczky (ORCID: https://orcid.org/0000-0003-1981-7435)
- Annika Spottke (ORCID: https://orcid.org/0000-0001-9854-2972)
- David Berron (ORCID: https://orcid.org/0000-0003-1558-1883)
- Matthis Synofzik (ORCID: https://orcid.org/0000-0002-2280-7273)
- Christoph Laske (ORCID: https://orcid.org/0009-0009-3434-936X)
- Katharina Büerger (ORCID: https://orcid.org/0000-0002-5898-9953)
- Josef Priller
- Frederic Brosseron
- Jens Wiltfang
- Frank Jessen
- Hannah Baumeister
- Oliver Peters
- Stefan J. Teipel
- Julian Hellmann‐Regen
- Alfredo Ramirez
- Matthias Schmid
Institutions
- University of Bonn (DE)
- Zimmer Biomet (Netherlands) (NL)
- University of Cologne (DE)
- Lund University (SE)
- University Hospital Bonn (DE)
- German Center for Neurodegenerative Diseases (DE)
- LMU Klinikum (DE)
- Institut für Medizinische Biometrie, Informatik und Epidemiologie (DE)
- Institute for Neurodegenerative Disorders (US)
- Munich Cluster for Systems Neurology (DE)
- Universitätsmedizin Göttingen (DE)
- UK Dementia Research Institute (GB)
- Center for Behavioral Brain Sciences (DE)
- Cologne Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases (DE)
- MRC Unit for Lifelong Health and Ageing (GB)
- Hertie Institute for Clinical Brain Research (DE)
- University of Rostock (DE)
- Imperial College London (GB)
- Technical University of Munich (DE)
- University of Göttingen (DE)
- Charité - Universitätsmedizin Berlin (DE)
- Ludwig-Maximilians-Universität München (DE)
- Otto-von-Guericke-Universität Magdeburg (DE)
- University of Edinburgh (GB)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70861_108731
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00