Does the Kolmogorov entropy give more information about the organization of the voluntary movement?
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Updated: Oct 3, 2026

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
Published on: July 24, 2019
1Institute of Physiology, Bulgarian Academy of Sciences, Sofia. juliana@iph.bio.bas.bg
Abstract:
Nonlinear temporal and spatial dynamic changes of human EEG signals during voluntary finger movements were investigated with tracking Kolmogorov entropy (K2). Segments with higher values of K2 defined dynamic transients, distinguishing consecutive phases of the movement organization. The maximum of K2, determined immediately before the movement onset, was specific only for the contralateral sensorimotor area. This nonlinear characteristic, computed over time for EEG single records, indicates the local dynamic properties and detect those EEG patterns, where the underlying process changes the dynamics prior to the task performance. In addition to the present mechanisms, found by the linear methods, qualitatively new mechanisms of neuronal activity were discovered in brain functioning during the organization of voluntary movements.
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