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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Alexandre Kubicki1, Lilian Fautrelle2, Julien Bourrelier3
1Unité 1093, Cognition, Action et Plasticité Sensorimotrice, Institut National de la Santé et de la Recherche MédicaleDijon, France; Université de Bourgogne Franche Comté, Unité de Formation et de Recherche (UFR) Sciences et Techniques des Activités Physiques et Sportives (STAPS)Dijon, France; Institut de Formation aux Métiers de la Santé (IFMS), Nord Franche-Comté, Hôpital Nord Franche-ComtéMontbéliard, France.
Early muscle activation changes in the trunk were observed in individuals with Mild Cognitive Impairment (MCI) during arm movements, suggesting preclinical motor alterations. These findings indicate subtle motor command modifications even before functional impairment is apparent.
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