Predicting executive functioning from walking features in Parkinson’s disease using machine learning

Predicting executive functioning from walking features in Parkinson’s disease using machine learning

Abstract Parkinson’s disease is characterized by motor and cognitive deficits. While previous work suggests a relationship between both, direct empirical evidence is scarce or inconclusive. Therefore, we examined the relationship between walking features and executive functioning in patients with Pa...

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Bibliographic Details
Main Authors: Artur Piet, Johanna Geritz, Pascal Garcia, Mona Irsfeld, Frédéric Li, Xinyu Huang, Muhammad Tausif Irshad, Julius Welzel, Clint Hansen, Walter Maetzler, Marcin Grzegorzek, Nico Bunzeck
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Executive functioning
Parkinson’s disease
Machine learning
Walking features
Online Access:https://doi.org/10.1038/s41598-024-80144-4
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https://doi.org/10.1038/s41598-024-80144-4

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