Electrophysiological Signature and the Prediction of Deep Brain Stimulation Withdrawal and Insertion Effects

Deep brain stimulation (DBS) serves as a treatment for neurological and psychiatric disorders, such as Parkinson's disease (PD), essential tremor, dystonia, Tourette Syndrome (GTS), Huntington's disease, and obsessive-compulsive disorder (OCD). There is broad experience with the short-term...

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Autores principales:	Carlos Trenado, Laura Cif, Nicole Pedroarena-Leal, Diane Ruge
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	electrophysiological signature deep brain stimulation dependency neuropsychiatric disease neuromodulation Neurology. Diseases of the nervous system RC346-429
Acceso en línea:	https://doaj.org/article/e31b8739233a4f92ab9786f4332ab510
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spelling	oai:doaj.org-article:e31b8739233a4f92ab9786f4332ab5102021-12-01T18:49:48ZElectrophysiological Signature and the Prediction of Deep Brain Stimulation Withdrawal and Insertion Effects1664-229510.3389/fneur.2021.754701https://doaj.org/article/e31b8739233a4f92ab9786f4332ab5102021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fneur.2021.754701/fullhttps://doaj.org/toc/1664-2295Deep brain stimulation (DBS) serves as a treatment for neurological and psychiatric disorders, such as Parkinson's disease (PD), essential tremor, dystonia, Tourette Syndrome (GTS), Huntington's disease, and obsessive-compulsive disorder (OCD). There is broad experience with the short-term effects of DBS in individual diseases and their signs/symptoms. However, even in acute treatment and for the same disorder or a given disorder, a prediction of effect is not perfect. Even further, the factors that influence the long-term effect of DBS and its withdrawal are hardly characterized. In this work, we aim to shed light on an important topic, the question of “DBS dependency.” To address this, we make use of the Kuramoto model of phase synchronization (oscillation feature) endowed with neuroplasticity to study the effects of DBS under successive withdrawals and renewals of neuromodulation as well as influence of treatment duration in de novo DBS “patients.” The results of our simulation show that the characteristics of neuroplasticity have a profound effect on the stability and mutability of oscillation synchronization patterns across successive withdrawal and renewal of DBS in chronic “patients” and also in de novo DBS “patients” with varying duration of treatment (here referred to as the “number of iterations”). Importantly, the results demonstrate the strong effect of the individual neuroplasticity makeup on the behavior of synchrony of oscillatory activity that promotes certain disorder/disease states or symptoms. The effect of DBS-mediated neuromodulation and withdrawal is highly dependent on the makeup of the neuroplastic signature of a disorder or an individual.Carlos TrenadoLaura CifNicole Pedroarena-LealDiane RugeFrontiers Media S.A.articleelectrophysiological signaturedeep brain stimulationdependencyneuropsychiatric diseaseneuromodulationNeurology. Diseases of the nervous systemRC346-429ENFrontiers in Neurology, Vol 12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	electrophysiological signature deep brain stimulation dependency neuropsychiatric disease neuromodulation Neurology. Diseases of the nervous system RC346-429
spellingShingle	electrophysiological signature deep brain stimulation dependency neuropsychiatric disease neuromodulation Neurology. Diseases of the nervous system RC346-429 Carlos Trenado Laura Cif Nicole Pedroarena-Leal Diane Ruge Electrophysiological Signature and the Prediction of Deep Brain Stimulation Withdrawal and Insertion Effects
description	Deep brain stimulation (DBS) serves as a treatment for neurological and psychiatric disorders, such as Parkinson's disease (PD), essential tremor, dystonia, Tourette Syndrome (GTS), Huntington's disease, and obsessive-compulsive disorder (OCD). There is broad experience with the short-term effects of DBS in individual diseases and their signs/symptoms. However, even in acute treatment and for the same disorder or a given disorder, a prediction of effect is not perfect. Even further, the factors that influence the long-term effect of DBS and its withdrawal are hardly characterized. In this work, we aim to shed light on an important topic, the question of “DBS dependency.” To address this, we make use of the Kuramoto model of phase synchronization (oscillation feature) endowed with neuroplasticity to study the effects of DBS under successive withdrawals and renewals of neuromodulation as well as influence of treatment duration in de novo DBS “patients.” The results of our simulation show that the characteristics of neuroplasticity have a profound effect on the stability and mutability of oscillation synchronization patterns across successive withdrawal and renewal of DBS in chronic “patients” and also in de novo DBS “patients” with varying duration of treatment (here referred to as the “number of iterations”). Importantly, the results demonstrate the strong effect of the individual neuroplasticity makeup on the behavior of synchrony of oscillatory activity that promotes certain disorder/disease states or symptoms. The effect of DBS-mediated neuromodulation and withdrawal is highly dependent on the makeup of the neuroplastic signature of a disorder or an individual.
format	article
author	Carlos Trenado Laura Cif Nicole Pedroarena-Leal Diane Ruge
author_facet	Carlos Trenado Laura Cif Nicole Pedroarena-Leal Diane Ruge
author_sort	Carlos Trenado
title	Electrophysiological Signature and the Prediction of Deep Brain Stimulation Withdrawal and Insertion Effects
title_short	Electrophysiological Signature and the Prediction of Deep Brain Stimulation Withdrawal and Insertion Effects
title_full	Electrophysiological Signature and the Prediction of Deep Brain Stimulation Withdrawal and Insertion Effects
title_fullStr	Electrophysiological Signature and the Prediction of Deep Brain Stimulation Withdrawal and Insertion Effects
title_full_unstemmed	Electrophysiological Signature and the Prediction of Deep Brain Stimulation Withdrawal and Insertion Effects
title_sort	electrophysiological signature and the prediction of deep brain stimulation withdrawal and insertion effects
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/e31b8739233a4f92ab9786f4332ab510
work_keys_str_mv	AT carlostrenado electrophysiologicalsignatureandthepredictionofdeepbrainstimulationwithdrawalandinsertioneffects AT lauracif electrophysiologicalsignatureandthepredictionofdeepbrainstimulationwithdrawalandinsertioneffects AT nicolepedroarenaleal electrophysiologicalsignatureandthepredictionofdeepbrainstimulationwithdrawalandinsertioneffects AT dianeruge electrophysiologicalsignatureandthepredictionofdeepbrainstimulationwithdrawalandinsertioneffects
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Electrophysiological Signature and the Prediction of Deep Brain Stimulation Withdrawal and Insertion Effects

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