Modeling perspective on translatability of deep brain stimulation mechanism for treating Parkinsonian motor symptoms in rodent and human

Konstantin Butenko

doi:10.18453/rosdok_id00003623

Konstantin Butenko

Modeling perspective on translatability of deep brain stimulation mechanism for treating Parkinsonian motor symptoms in rodent and human

Universität Rostock, 2021

https://doi.org/10.18453/rosdok_id00003623

Abstract: Deep brain stimulation is an established treatment for Parkinson’s disease (PD). However, to advance its effectiveness, researchers need to gain a better understanding of the action mechanism by means of in vivo and in silico studies. This thesis presents neural activation patterns theoretically beneficial for motor improvement in PD and analyzes their theoretical reproducibility in a rat brain. Besides, it elucidates biophysical and computational problems to be addressed in order to optimize animal studies and avoid misconceptions when transferring experimental findings to clinical trials.

Dissertation Freier Zugang

Titel:

Modeling perspective on translatability of deep brain stimulation mechanism for treating Parkinsonian motor symptoms in rodent and human

Beteiligte Personen:

Konstantin Butenko[VerfasserIn]
	0000-0002-4509-4624
	1255792531
Ursula Rienen , van[AkademischeR BetreuerIn]
	0000-0003-1042-2058
	115420738
Rüdiger Köhling[AkademischeR BetreuerIn]
	0000-0003-3330-4898
	137585756
	Universitätsmedizin Rostock
Madeleine Lowery[AkademischeR BetreuerIn]
	University College Dublin

Beteiligte Körperschaften:

Universität Rostock[Grad-verleihende Institution]
	38329-6
Universität Rostock, Fakultät für Informatik und Elektrotechnik[Grad-verleihende Institution]
	10085032-7

Zusammenfassung:

Deep brain stimulation is an established treatment for Parkinson’s disease (PD). However, to advance its effectiveness, researchers need to gain a better understanding of the action mechanism by means of in vivo and in silico studies. This thesis presents neural activation patterns theoretically beneficial for motor improvement in PD and analyzes their theoretical reproducibility in a rat brain. Besides, it elucidates biophysical and computational problems to be addressed in order to optimize animal studies and avoid misconceptions when transferring experimental findings to clinical trials. [Englisch]

Dokumenttyp:

Dissertation

Einrichtung:

Fakultät für Informatik und Elektrotechnik

Sprache:

Englisch

Sachgruppe der DNB:

620 Ingenieurwissenschaften und Maschinenbau

Veröffentlichung /
Entstehung:

Rostock

Rostock: Universität Rostock

2021