Factor Analysis and Clustering of the Movement Disorder Society–Non‐Motor Rating Scale

Author:

Martinez‐Martin Pablo1ORCID,Rojo‐Abuín Jose Manuel2,Weintraub Daniel3ORCID,Chaudhuri Kallol Ray4,Rodriguez‐Blázquez Carmen5,Rizos Alexandra4,Schrag Anette6ORCID

Affiliation:

1. Center for Networked Biomedical Research in Neurodegenerative Diseases (CIBERNED)Carlos III Institute of Health Madrid Spain

2. Department of Statistics, Center of Human and Social SciencesSpanish Council for Scientific Research Madrid Spain

3. Department of Psychiatry and Neurology, Perelman School of Medicine at the University of Pennsylvania; Parkinson's Disease Research, Education and Clinical CenterPhiladelphia Department of Veterans Affairs Philadelphia Pennsylvania USA

4. King's College London, Department of Neurosciences, Institute of Psychiatry, Psychology & Neuroscience and Parkinson's Foundation Centre of ExcellenceKing's College Hospital Denmark Hill London UK

5. National Center of Epidemiology and Center for Networked Biomedical Research in Neurodegenerative Diseases (CIBERNED)Carlos III Institute of Health Madrid Spain

6. Department of Clinical and Movement NeurosciencesUCL Queen Square Institute of Neurology London UK

Funder

Cystinosis Research Network

Publisher

Wiley

Subject

Neurology (clinical),Neurology

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Revisiting delusion subtypes in schizophrenia based on their underlying structures;Journal of Psychiatric Research;2024-03

2. Beyond Motor Symptoms: Toward a Comprehensive Grading of Parkinson's Disease Severity;Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics;2023-09-03

3. Expanded and Independent Spanish Validation of the MDS‐Non Motor Rating Scale;Movement Disorders Clinical Practice;2023-03-13

4. The neuropsychiatry of Parkinson's disease: advances and challenges;The Lancet Neurology;2022-01

5. Identifying Parkinson’s disease subtypes with motor and non-motor symptoms via model-based multi-partition clustering;Scientific Reports;2021-12

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