Assessing Cognitive Workload in Motor Decision-Making through Functional Connectivity Analysis: Towards Early Detection and Monitoring of Neurodegenerative Diseases

Assessing Cognitive Workload in Motor Decision-Making through Functional Connectivity Analysis: Towards Early Detection and Monitoring of Neurodegenerative Diseases

Neurodegenerative diseases (NDs), such as Alzheimer’s, Parkinson’s, amyotrophic lateral sclerosis, and frontotemporal dementia, among others, are increasingly prevalent in the global population. The clinical diagnosis of these NDs is based on the detection and characterization of motor and non-motor...

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Bibliographic Details
Main Authors: Leonardo Ariel Cano, Ana Lía Albarracín, Alvaro Gabriel Pizá, Cecilia Elisabet García-Cena, Eduardo Fernández-Jover, Fernando Daniel Farfán
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Sensors
Subjects:
neurodegenerative diseases
cognitive workload
statistical modeling
motor planning
decision-making
functional connectivity
Online Access:https://www.mdpi.com/1424-8220/24/4/1089

Internet

https://www.mdpi.com/1424-8220/24/4/1089

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