Disruption of parkinsonian brain oscillations

Fuente: arXiv
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Autores principales: Join, Cédric, Orłowski, Jakub, Chaillet, Antoine, Lowery, Madeleine, Mounier, Hugues, Fliess, Michel
Formato: Preprint
Publicado: 2025
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author Join, Cédric
Orłowski, Jakub
Chaillet, Antoine
Lowery, Madeleine
Mounier, Hugues
Fliess, Michel
author_facet Join, Cédric
Orłowski, Jakub
Chaillet, Antoine
Lowery, Madeleine
Mounier, Hugues
Fliess, Michel
contents Deep brain stimulation (DBS) is an advanced surgical treatment for the symptoms of Parkinson's disease (PD), involving electrical stimulation of neurons within the basal ganglia region of the brain. DBS is traditionally delivered in an open-loop manner using fixed stimulation parameters, which may lead to suboptimal results. In an effort to overcome these limitations, closed loop DBS, using pathological subthalamic beta (13--30 Hz) activity as a feedback signal, offers the potential to adapt DBS automatically in response to changes in patient symptoms and side effects. However, clinically implemented closed-loop techniques have been limited to date to simple control algorithms, due to the inherent uncertainties in the dynamics involved. Model-free control, which has already seen successful applications in the field of bioengineering, offers a way to avoid this limitation and provides an alternative method to apply modern control approach to selective suppression of pathological oscillations.
format Preprint
id arxiv_https___arxiv_org_abs_2506_15384
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Disruption of parkinsonian brain oscillations
Join, Cédric
Orłowski, Jakub
Chaillet, Antoine
Lowery, Madeleine
Mounier, Hugues
Fliess, Michel
Systems and Control
Optimization and Control
Deep brain stimulation (DBS) is an advanced surgical treatment for the symptoms of Parkinson's disease (PD), involving electrical stimulation of neurons within the basal ganglia region of the brain. DBS is traditionally delivered in an open-loop manner using fixed stimulation parameters, which may lead to suboptimal results. In an effort to overcome these limitations, closed loop DBS, using pathological subthalamic beta (13--30 Hz) activity as a feedback signal, offers the potential to adapt DBS automatically in response to changes in patient symptoms and side effects. However, clinically implemented closed-loop techniques have been limited to date to simple control algorithms, due to the inherent uncertainties in the dynamics involved. Model-free control, which has already seen successful applications in the field of bioengineering, offers a way to avoid this limitation and provides an alternative method to apply modern control approach to selective suppression of pathological oscillations.
title Disruption of parkinsonian brain oscillations
topic Systems and Control
Optimization and Control
url https://arxiv.org/abs/2506.15384