Optimal closed-loop deep brain stimulation using multiple independently controlled contacts.

Deep brain stimulation (DBS) is a well-established treatment option for a variety of neurological disorders, including Parkinson's disease and essential tremor. The symptoms of these disorders are known to be associated with pathological synchronous neural activity in the basal ganglia and thal...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Gihan Weerasinghe, Benoit Duchet, Christian Bick, Rafal Bogacz
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
Materias:
Acceso en línea:https://doaj.org/article/ce2977fb962345a795be927bbc57df78
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:ce2977fb962345a795be927bbc57df78
record_format dspace
spelling oai:doaj.org-article:ce2977fb962345a795be927bbc57df782021-12-02T19:58:07ZOptimal closed-loop deep brain stimulation using multiple independently controlled contacts.1553-734X1553-735810.1371/journal.pcbi.1009281https://doaj.org/article/ce2977fb962345a795be927bbc57df782021-08-01T00:00:00Zhttps://doi.org/10.1371/journal.pcbi.1009281https://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Deep brain stimulation (DBS) is a well-established treatment option for a variety of neurological disorders, including Parkinson's disease and essential tremor. The symptoms of these disorders are known to be associated with pathological synchronous neural activity in the basal ganglia and thalamus. It is hypothesised that DBS acts to desynchronise this activity, leading to an overall reduction in symptoms. Electrodes with multiple independently controllable contacts are a recent development in DBS technology which have the potential to target one or more pathological regions with greater precision, reducing side effects and potentially increasing both the efficacy and efficiency of the treatment. The increased complexity of these systems, however, motivates the need to understand the effects of DBS when applied to multiple regions or neural populations within the brain. On the basis of a theoretical model, our paper addresses the question of how to best apply DBS to multiple neural populations to maximally desynchronise brain activity. Central to this are analytical expressions, which we derive, that predict how the symptom severity should change when stimulation is applied. Using these expressions, we construct a closed-loop DBS strategy describing how stimulation should be delivered to individual contacts using the phases and amplitudes of feedback signals. We simulate our method and compare it against two others found in the literature: coordinated reset and phase-locked stimulation. We also investigate the conditions for which our strategy is expected to yield the most benefit.Gihan WeerasingheBenoit DuchetChristian BickRafal BogaczPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 17, Iss 8, p e1009281 (2021)
institution DOAJ
collection DOAJ
language EN
topic Biology (General)
QH301-705.5
spellingShingle Biology (General)
QH301-705.5
Gihan Weerasinghe
Benoit Duchet
Christian Bick
Rafal Bogacz
Optimal closed-loop deep brain stimulation using multiple independently controlled contacts.
description Deep brain stimulation (DBS) is a well-established treatment option for a variety of neurological disorders, including Parkinson's disease and essential tremor. The symptoms of these disorders are known to be associated with pathological synchronous neural activity in the basal ganglia and thalamus. It is hypothesised that DBS acts to desynchronise this activity, leading to an overall reduction in symptoms. Electrodes with multiple independently controllable contacts are a recent development in DBS technology which have the potential to target one or more pathological regions with greater precision, reducing side effects and potentially increasing both the efficacy and efficiency of the treatment. The increased complexity of these systems, however, motivates the need to understand the effects of DBS when applied to multiple regions or neural populations within the brain. On the basis of a theoretical model, our paper addresses the question of how to best apply DBS to multiple neural populations to maximally desynchronise brain activity. Central to this are analytical expressions, which we derive, that predict how the symptom severity should change when stimulation is applied. Using these expressions, we construct a closed-loop DBS strategy describing how stimulation should be delivered to individual contacts using the phases and amplitudes of feedback signals. We simulate our method and compare it against two others found in the literature: coordinated reset and phase-locked stimulation. We also investigate the conditions for which our strategy is expected to yield the most benefit.
format article
author Gihan Weerasinghe
Benoit Duchet
Christian Bick
Rafal Bogacz
author_facet Gihan Weerasinghe
Benoit Duchet
Christian Bick
Rafal Bogacz
author_sort Gihan Weerasinghe
title Optimal closed-loop deep brain stimulation using multiple independently controlled contacts.
title_short Optimal closed-loop deep brain stimulation using multiple independently controlled contacts.
title_full Optimal closed-loop deep brain stimulation using multiple independently controlled contacts.
title_fullStr Optimal closed-loop deep brain stimulation using multiple independently controlled contacts.
title_full_unstemmed Optimal closed-loop deep brain stimulation using multiple independently controlled contacts.
title_sort optimal closed-loop deep brain stimulation using multiple independently controlled contacts.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/ce2977fb962345a795be927bbc57df78
work_keys_str_mv AT gihanweerasinghe optimalclosedloopdeepbrainstimulationusingmultipleindependentlycontrolledcontacts
AT benoitduchet optimalclosedloopdeepbrainstimulationusingmultipleindependentlycontrolledcontacts
AT christianbick optimalclosedloopdeepbrainstimulationusingmultipleindependentlycontrolledcontacts
AT rafalbogacz optimalclosedloopdeepbrainstimulationusingmultipleindependentlycontrolledcontacts
_version_ 1718375805740908544