| title: |
| Modeling perspective on translatability of deep brain stimulation mechanism for treating
Parkinsonian motor symptoms in rodent and human |
|
| contributing persons: |
|
| contributing corporate bodies: |
| Universität Rostock[Grad-verleihende Institution] |
 |
38329-6 |
| Universität Rostock, Fakultät für Informatik und Elektrotechnik[Grad-verleihende Institution] |
|
10085032-7 |
|
| |
| 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.
[English] |
|
| document type: |
|
| institution: |
| Faculty of Computer Science and Electrical Engineering |
|
| language: |
|
| subject class (DDC): |
| 620 Engineering & allied operations |
|
| |
publication /
production: |
Rostock
|
Rostock: Universität Rostock
|
|
2021
|
|
| statement of responsibility: |
| vorgelegt von Konstantin Butenko |
|
| |
| identifiers: |
|
| |
| access condition: |
|
| license/rights statement: |
all rights reserved
This work may only be used under the terms of the German Copyright Law (Urheberrechtsgesetz). |
|
|
| RosDok id: |
rosdok_disshab_0000002730 |
| created / modified: |
21.04.2022 / 08.08.2023
|
| metadata license: |
The metadata of this document was dedicated to the public domain
(CC0 1.0 Universal Public Domain Dedication). |
access
viewer
fulltext