Subtyping Early Parkinson’s Disease by Mapping Cognitive Profiles to Brain Atrophy with Visual MRI Ratings
Background: Cognitive heterogeneity in Parkinson’s disease (PD) remains a diagnostic and prognostic challenge, particularly in early stages. In this cross-sectional study, we aimed to identify clinically relevant cognitive subtypes in early PD by integrating neuropsychological profiles with regional...
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MDPI AG
2025-07-01
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| Series: | Brain Sciences |
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| Online Access: | https://www.mdpi.com/2076-3425/15/7/751 |
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| author | Tania Álvarez-Avellón Carmen Solares Juan Álvarez-Carriles Manuel Menéndez-González |
| author_facet | Tania Álvarez-Avellón Carmen Solares Juan Álvarez-Carriles Manuel Menéndez-González |
| author_sort | Tania Álvarez-Avellón |
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| description | Background: Cognitive heterogeneity in Parkinson’s disease (PD) remains a diagnostic and prognostic challenge, particularly in early stages. In this cross-sectional study, we aimed to identify clinically relevant cognitive subtypes in early PD by integrating neuropsychological profiles with regional brain atrophy assessed via visual MRI scales. Methods: Eighty-one de novo PD patients (≤36 months from diagnosis) and twenty healthy controls underwent 3T MRI with visual atrophy ratings and completed an extensive neuropsychological battery. Results: Using a mixed a priori–a posteriori approach, we defined eight anatomocognitive subtypes reflecting distinct patterns of regional vulnerability: frontosubcortical, posterior cortical, left/right hippocampal, global, and preserved cognition. Specific MRI markers correlated with cognitive deficits in executive, visuospatial, memory, and language domains. Cluster analyses supported subtype validity (AUC range: 0.68–0.95). Conclusions: These results support a practical classification model linking cognitive performance to brain structural changes in early PD. This scalable approach may improve early patient stratification and guide personalized management strategies. Longitudinal studies are needed to assess progression patterns and therapeutic implications. |
| format | Article |
| id | doaj-art-c8a7a7ef6ea7454591dc6fa0c857ddb2 |
| institution | Kabale University |
| issn | 2076-3425 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Brain Sciences |
| spelling | doaj-art-c8a7a7ef6ea7454591dc6fa0c857ddb22025-08-20T03:58:25ZengMDPI AGBrain Sciences2076-34252025-07-0115775110.3390/brainsci15070751Subtyping Early Parkinson’s Disease by Mapping Cognitive Profiles to Brain Atrophy with Visual MRI RatingsTania Álvarez-Avellón0Carmen Solares1Juan Álvarez-Carriles2Manuel Menéndez-González3Departamento de Psicología, Universidad de Oviedo, 33009 Oviedo, SpainInstituto de Investigación Sanitaria del Principado de Asturias, 33011 Oviedo, SpainDepartamento de Psicología, Universidad de Oviedo, 33009 Oviedo, SpainInstituto de Investigación Sanitaria del Principado de Asturias, 33011 Oviedo, SpainBackground: Cognitive heterogeneity in Parkinson’s disease (PD) remains a diagnostic and prognostic challenge, particularly in early stages. In this cross-sectional study, we aimed to identify clinically relevant cognitive subtypes in early PD by integrating neuropsychological profiles with regional brain atrophy assessed via visual MRI scales. Methods: Eighty-one de novo PD patients (≤36 months from diagnosis) and twenty healthy controls underwent 3T MRI with visual atrophy ratings and completed an extensive neuropsychological battery. Results: Using a mixed a priori–a posteriori approach, we defined eight anatomocognitive subtypes reflecting distinct patterns of regional vulnerability: frontosubcortical, posterior cortical, left/right hippocampal, global, and preserved cognition. Specific MRI markers correlated with cognitive deficits in executive, visuospatial, memory, and language domains. Cluster analyses supported subtype validity (AUC range: 0.68–0.95). Conclusions: These results support a practical classification model linking cognitive performance to brain structural changes in early PD. This scalable approach may improve early patient stratification and guide personalized management strategies. Longitudinal studies are needed to assess progression patterns and therapeutic implications.https://www.mdpi.com/2076-3425/15/7/751Parkinson’s diseasecognitive declineneuroanatomystructural MRIvisual atrophy scales |
| spellingShingle | Tania Álvarez-Avellón Carmen Solares Juan Álvarez-Carriles Manuel Menéndez-González Subtyping Early Parkinson’s Disease by Mapping Cognitive Profiles to Brain Atrophy with Visual MRI Ratings Brain Sciences Parkinson’s disease cognitive decline neuroanatomy structural MRI visual atrophy scales |
| title | Subtyping Early Parkinson’s Disease by Mapping Cognitive Profiles to Brain Atrophy with Visual MRI Ratings |
| title_full | Subtyping Early Parkinson’s Disease by Mapping Cognitive Profiles to Brain Atrophy with Visual MRI Ratings |
| title_fullStr | Subtyping Early Parkinson’s Disease by Mapping Cognitive Profiles to Brain Atrophy with Visual MRI Ratings |
| title_full_unstemmed | Subtyping Early Parkinson’s Disease by Mapping Cognitive Profiles to Brain Atrophy with Visual MRI Ratings |
| title_short | Subtyping Early Parkinson’s Disease by Mapping Cognitive Profiles to Brain Atrophy with Visual MRI Ratings |
| title_sort | subtyping early parkinson s disease by mapping cognitive profiles to brain atrophy with visual mri ratings |
| topic | Parkinson’s disease cognitive decline neuroanatomy structural MRI visual atrophy scales |
| url | https://www.mdpi.com/2076-3425/15/7/751 |
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