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  <identifier identifierType="DOI">10.18453/rosdok_id00003623</identifier>
  <creators>
    <creator>
      <creatorName nameType="Personal">Butenko, Konstantin</creatorName>
      <givenName>Konstantin</givenName>
      <familyName>Butenko</familyName>
      <nameIdentifier nameIdentifierScheme="GND" schemeURI="http://d-nb.info/gnd/">http://d-nb.info/gnd/1255792531</nameIdentifier>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org/">https://orcid.org/0000-0002-4509-4624</nameIdentifier>
    </creator>
  </creators>
  <titles>
    <title>Modeling perspective on translatability of deep brain stimulation mechanism for treating Parkinsonian motor symptoms in rodent and human</title>
  </titles>
  <publisher>Universität Rostock</publisher>
  <publicationYear>2021</publicationYear>
  <resourceType resourceTypeGeneral="Text" />
  <subjects>
    <subject xml:lang="en" schemeURI="http://dewey.info/" subjectScheme="dewey">620 Engineering &amp; allied operations</subject>
  </subjects>
  <dates>
    <date dateType="Created">2021</date>
  </dates>
  <language>en</language>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="PURL">http://purl.uni-rostock.de/rosdok/id00003623</alternateIdentifier>
    <alternateIdentifier alternateIdentifierType="URN">urn:nbn:de:gbv:28-rosdok_id00003623-9</alternateIdentifier>
  </alternateIdentifiers>
  <descriptions>
    <description descriptionType="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.</description>
  </descriptions>
</resource>
