Predictive Modelling of Transformed NPI‐Q Scores Using Region‐ and Surface‐Based Morphometry of MRI‐PET‐FDG Images in Healthy Controls
A computational diagnostic tool for predicting NPI-Q-related scores in four pathopsychological domains using neuroimaging data from cognitively normal subjects was presented in this study. The pathopsychological scores were reproduced by a PLS model through the BIEUV-based reduction of the PET-FDG and T1 data.
Authors
- Rafael Doležal (ORCID: https://orcid.org/0000-0001-9495-3934)
- Zdenek Linha
- Tejasvi Ravi
- Matej Seifert
- Pavla Brennan Kearns
Institutions
- Charles University (CZ)
- National Institute of Mental Health (JP)
- National Institute of Mental Health (CZ)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70856_103555
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00