A domain-based framework for cognitive profile identification in Parkinson’s disease across diverse samples
The findings highlight the potential of domain-based assessments to unify data across diverse samples, fostering standardized cross-cohort comparisons and facilitating large-scale research initiatives. By enabling methodological consistency, this approach provides a robust framework for advancing the understanding of cognitive dysfunctions in PD and improving clinical decision-making.
Authors
- Isabel Jiménez Martín (ORCID: https://orcid.org/0000-0002-9405-1727)
- María J. Lama
- Gustavo Fernández‐Pajarín (ORCID: https://orcid.org/0000-0002-9211-9927)
- Clara Villanueva-Iza
- Elena Pérez-Hernández (ORCID: https://orcid.org/0000-0001-8822-6423)
- Juan Francisco Martin‐Rodríguez
- Cristina Nombela Otero
- Fernando Alonso
- Ángel Sesar
- Pablo Mir
- Elvira Andújar-Castillo
- Carla Carrillo-Molina
Institutions
- Universidade de Santiago de Compostela (ES)
- Instituto de Salud Carlos III (ES)
- Biomedical Research Networking Center on Neurodegenerative Diseases (ES)
- Complejo Hospitalario Universitario de Santiago (ES)
- Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (ES)
- Centro de Investigación Biomédica en Red (ES)
- HM Hospitales (ES)
- University Hospital HM Puerta del Sur (ES)
- Hospital Universitario Virgen del Rocío (ES)
- Universidad Autónoma de Madrid (ES)
- Universidad de Sevilla (ES)
Publication Details
- Journal
- Frontiers in Neuroanatomy
- Published
- 2025-06-19
- DOI
- https://doi.org/10.3389/fnana.2025.1566835
- Citations
- 1
- Primary Topic
- Parkinson's Disease Mechanisms and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.39
Funders
- Comunidad de Madrid
- Universidad Autónoma de Madrid
- Agencia Estatal de Investigación