A data mining approach for classification of orthostatic and essential tremor based on MRI‐derived brain volume and cortical thickness

Author:

Benito‐León Julián123ORCID,Louis Elan D.456,Mato‐Abad Virginia7,Sánchez‐Ferro Alvaro89,Romero Juan P.1011,Matarazzo Michele12,Serrano J. Ignacio13

Affiliation:

1. Department of Neurology University Hospital “12 de Octubre” Madrid Spain

2. Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED) Madrid Spain

3. Department of Medicine Complutense University Madrid Spain

4. Department of Neurology Yale School of MedicineYale University New Haven Connecticut

5. Department of Chronic Disease, Epidemiology Yale School of Public HealthYale University New Haven Connecticut

6. Center for Neuroepidemiology and Clinical Neurological Research Yale School of MedicineYale University New Haven Connecticut

7. ISLA Faculty of Computer Science A Coruña University A Coruña Spain

8. Department of Neurology HM CINACUniversity Hospital HM Puerta del Sur Móstoles Madrid Spain

9. Research Laboratory of Electronics Massachusetts Institute of Technology Cambridge Massachusetts

10. Faculty of Experimental Sciences Francisco de Vitoria University Pozuelo de AlarcónMadrid Spain

11. Brain Damage Unit Hospital Beata Maria Ana Madrid Spain

12. Pacific Parkinson's Research Centre and Djavad Mowafaghian Centre for Brain Health University of British Columbia Vancouver BC Canada

13. Neural and Cognitive Engineering group Center for Automation and Robotics CAR CSIC‐UPM Arganda del Rey Madrid Spain

Funder

National Institutes of Health

National Institute of Neurological Disorders and Stroke

European Commission

Ministerio de Economía y Competitividad

Consejería de Educación, Juventud y Deporte, Comunidad de Madrid

Seventh Framework Programme

Publisher

Wiley

Subject

Clinical Neurology,General Neuroscience

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