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- Title
Dimensional clinical phenotyping using post‐mortem brain donor medical records: post‐mortem RDoC profiling is associated with Alzheimer's disease neuropathology.
- Authors
Vogelgsang, Jonathan; Dan, Shu; Lally, Anna P.; Chatigny, Michael; Vempati, Sangeetha; Abston, Joshua; Durning, Peter T.; Oakley, Derek H.; McCoy, Thomas H.; Klengel, Torsten; Berretta, Sabina
- Abstract
Introduction: Transdiagnostic dimensional phenotypes are essential to investigate the relationship between continuous symptom dimensions and pathological changes. This is a fundamental challenge to post‐mortem work, as assessments of phenotypic concepts need to rely on existing records. Methods: We adapted well‐validated methodologies to compute National Institute of Mental Health Research Domain Criteria (RDoC) scores using natural language processing (NLP) from electronic health records (EHRs) obtained from post‐mortem brain donors and tested whether cognitive domain scores were associated with Alzheimer's disease neuropathological measures. Results: Our results confirm an association of EHR‐derived cognitive scores with neuropathological findings. Notably, higher neuropathological load, particularly neuritic plaques, was associated with higher cognitive burden scores in the frontal (ß = 0.38, P = 0.0004), parietal (ß = 0.35, P = 0.0008), temporal (ß = 0.37, P = 0.0004) and occipital (ß = 0.37, P = 0.0003) lobes. Discussion: This proof‐of‐concept study supports the validity of NLP‐based methodologies to obtain quantitative measures of RDoC clinical domains from post‐mortem EHR. The associations may accelerate post‐mortem brain research beyond classical case–control designs.
- Subjects
NATIONAL Institute of Mental Health (U.S.); ALZHEIMER'S disease; NATURAL language processing; MEDICAL records; NEUROLOGICAL disorders; PSYCHIATRIC research
- Publication
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, 2023, Vol 15, Issue 3, p1
- ISSN
2352-8729
- Publication type
Article
- DOI
10.1002/dad2.12464