Controlling Clinical States Governed by Different Temporal Dynamics With Closed-Loop Deep Brain Stimulation: A Principled Framework

Closed-loop strategies for deep brain stimulation (DBS) are paving the way for improving the efficacy of existing neuromodulation therapies across neurological disorders. Unlike continuous DBS, closed-loop DBS approaches (cl-DBS) optimize the delivery of stimulation in the temporal domain. However,...

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Autores principales: Gerd Tinkhauser, Eduardo Martin Moraud
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Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
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Acceso en línea:https://doaj.org/article/23f63d79bad64eedbc3ef365b9ee53c9
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spelling oai:doaj.org-article:23f63d79bad64eedbc3ef365b9ee53c92021-11-11T06:51:20ZControlling Clinical States Governed by Different Temporal Dynamics With Closed-Loop Deep Brain Stimulation: A Principled Framework1662-453X10.3389/fnins.2021.734186https://doaj.org/article/23f63d79bad64eedbc3ef365b9ee53c92021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fnins.2021.734186/fullhttps://doaj.org/toc/1662-453XClosed-loop strategies for deep brain stimulation (DBS) are paving the way for improving the efficacy of existing neuromodulation therapies across neurological disorders. Unlike continuous DBS, closed-loop DBS approaches (cl-DBS) optimize the delivery of stimulation in the temporal domain. However, clinical and neurophysiological manifestations exhibit highly diverse temporal properties and evolve over multiple time-constants. Moreover, throughout the day, patients are engaged in different activities such as walking, talking, or sleeping that may require specific therapeutic adjustments. This broad range of temporal properties, along with inter-dependencies affecting parallel manifestations, need to be integrated in the development of therapies to achieve a sustained, optimized control of multiple symptoms over time. This requires an extended view on future cl-DBS design. Here we propose a conceptual framework to guide the development of multi-objective therapies embedding parallel control loops. Its modular organization allows to optimize the personalization of cl-DBS therapies to heterogeneous patient profiles. We provide an overview of clinical states and symptoms, as well as putative electrophysiological biomarkers that may be integrated within this structure. This integrative framework may guide future developments and become an integral part of next-generation precision medicine instruments.Gerd TinkhauserEduardo Martin MoraudEduardo Martin MoraudFrontiers Media S.A.articleclosed-loop DBSlocal field potentials (LFP)basal gangliaParkinson’s diseasemulti-objective controlNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENFrontiers in Neuroscience, Vol 15 (2021)
institution DOAJ
collection DOAJ
language EN
topic closed-loop DBS
local field potentials (LFP)
basal ganglia
Parkinson’s disease
multi-objective control
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
spellingShingle closed-loop DBS
local field potentials (LFP)
basal ganglia
Parkinson’s disease
multi-objective control
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Gerd Tinkhauser
Eduardo Martin Moraud
Eduardo Martin Moraud
Controlling Clinical States Governed by Different Temporal Dynamics With Closed-Loop Deep Brain Stimulation: A Principled Framework
description Closed-loop strategies for deep brain stimulation (DBS) are paving the way for improving the efficacy of existing neuromodulation therapies across neurological disorders. Unlike continuous DBS, closed-loop DBS approaches (cl-DBS) optimize the delivery of stimulation in the temporal domain. However, clinical and neurophysiological manifestations exhibit highly diverse temporal properties and evolve over multiple time-constants. Moreover, throughout the day, patients are engaged in different activities such as walking, talking, or sleeping that may require specific therapeutic adjustments. This broad range of temporal properties, along with inter-dependencies affecting parallel manifestations, need to be integrated in the development of therapies to achieve a sustained, optimized control of multiple symptoms over time. This requires an extended view on future cl-DBS design. Here we propose a conceptual framework to guide the development of multi-objective therapies embedding parallel control loops. Its modular organization allows to optimize the personalization of cl-DBS therapies to heterogeneous patient profiles. We provide an overview of clinical states and symptoms, as well as putative electrophysiological biomarkers that may be integrated within this structure. This integrative framework may guide future developments and become an integral part of next-generation precision medicine instruments.
format article
author Gerd Tinkhauser
Eduardo Martin Moraud
Eduardo Martin Moraud
author_facet Gerd Tinkhauser
Eduardo Martin Moraud
Eduardo Martin Moraud
author_sort Gerd Tinkhauser
title Controlling Clinical States Governed by Different Temporal Dynamics With Closed-Loop Deep Brain Stimulation: A Principled Framework
title_short Controlling Clinical States Governed by Different Temporal Dynamics With Closed-Loop Deep Brain Stimulation: A Principled Framework
title_full Controlling Clinical States Governed by Different Temporal Dynamics With Closed-Loop Deep Brain Stimulation: A Principled Framework
title_fullStr Controlling Clinical States Governed by Different Temporal Dynamics With Closed-Loop Deep Brain Stimulation: A Principled Framework
title_full_unstemmed Controlling Clinical States Governed by Different Temporal Dynamics With Closed-Loop Deep Brain Stimulation: A Principled Framework
title_sort controlling clinical states governed by different temporal dynamics with closed-loop deep brain stimulation: a principled framework
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/23f63d79bad64eedbc3ef365b9ee53c9
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AT eduardomartinmoraud controllingclinicalstatesgovernedbydifferenttemporaldynamicswithclosedloopdeepbrainstimulationaprincipledframework
AT eduardomartinmoraud controllingclinicalstatesgovernedbydifferenttemporaldynamicswithclosedloopdeepbrainstimulationaprincipledframework
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