Abstract #0782
Identification of Subcortical White Matter Biomarkers in Multiple Sclerosis Patients according to AVLT performance using Random Forest
Cristian Montalba1,2,3, Pamela Franco1,3,4, Tomás Labbé5, Marcelo Andia1,2, Miguel Guevara6, Jean-François Mangin7, Juan Pablo Cruz2, Ethel Ciampi8,9, Claudia Cárcamo5,8, Pamela Guevara6, and Sergio Uribe1,2,3
1Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago, Chile, 2Radiology Department, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile, 3Millennium Nucleus for Cardiovascular Magnetic Resonance, Santiago, Chile, 4Electrical Engineering Department, School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 5Interdisciplinary Center of Neurosciences, Pontificia Universidad Católica de Chile, Santiago, Chile, 6Faculty of Engineering, Universidad de Concepción, Concepción, Chile, 7UNATI, Neurospin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France, 8Neurology Department, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile, 9Neurology Service, Hospital Dr. Sótero del Río, Santiago, Chile
Synopsis
Radiological biomarkers of cognitive impairment in Multiple Sclerosis (MS) is still scarce. This study aimed to identify subcortical white matter biomarkers of cognitive impairment related to verbal episodic memory in MS patients and healthy controls, by using a random forest approach.
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