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Subtyping Early Parkinson's Disease by Mapping Cognitive Profiles to Brain Atrophy with Visual MRI Ratings
Tania Álvarez-Avellón1, Carmen Solares2, Juan Álvarez-Carriles1,2,3
1Departamento de Psicología, Universidad de Oviedo, 33009 Oviedo, Spain.
Researchers identified eight distinct cognitive subtypes in early Parkinson's disease (PD) by combining brain scans and cognitive tests. This approach aids in early patient stratification for personalized Parkinson's disease management.
Area of Science:
- Neuroscience
- Neurology
- Radiology
Background:
- Cognitive heterogeneity presents a significant challenge in diagnosing and predicting outcomes for Parkinson's disease (PD), especially in its early stages.
- Identifying distinct cognitive subtypes is crucial for understanding disease progression and tailoring treatments.
Purpose of the Study:
- To identify clinically relevant cognitive subtypes in early Parkinson's disease (PD).
- To integrate neuropsychological profiles with regional brain atrophy assessed via visual MRI scales in de novo PD patients.
Main Methods:
- Cross-sectional study involving 81 de novo Parkinson's disease (PD) patients and 20 healthy controls.
- Utilized 3T MRI with visual atrophy ratings and an extensive neuropsychological battery.
- Employed a mixed a priori-a posteriori approach to define anatomocognitive subtypes.
Main Results:
- Eight anatomocognitive subtypes were defined, reflecting frontosubcortical, posterior cortical, hippocampal, global, and preserved cognition patterns.
- Specific MRI markers correlated with cognitive deficits in executive, visuospatial, memory, and language domains.
- Cluster analyses confirmed the validity of the identified subtypes (AUC range: 0.68-0.95).
Conclusions:
- The study proposes a practical classification model linking cognitive performance to structural brain changes in early Parkinson's disease (PD).
- This scalable approach can enhance early patient stratification and inform personalized management strategies.
- Further longitudinal studies are recommended to evaluate progression patterns and therapeutic implications.
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