dc.contributor.author
Oxenford, Simón
dc.contributor.author
Roediger, Jan
dc.contributor.author
Neudorfer, Clemens
dc.contributor.author
Milosevic, Luka
dc.contributor.author
Güttler, Christopher
dc.contributor.author
Spindler, Philipp
dc.contributor.author
Vajkoczy, Peter
dc.contributor.author
Neumann, Wolf-Julian
dc.contributor.author
Kühn, Andrea
dc.contributor.author
Horn, Andreas
dc.date.accessioned
2023-03-22T13:14:02Z
dc.date.available
2023-03-22T13:14:02Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/38513
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-38231
dc.description.abstract
Background: Deep brain stimulation (DBS) electrode implant trajectories are stereotactically defined using preoperative neuroimaging. To validate the correct trajectory, microelectrode recordings (MERs) or local field potential recordings can be used to extend neuroanatomical information (defined by MRI) with neurophysiological activity patterns recorded from micro- and macroelectrodes probing the surgical target site. Currently, these two sources of information (imaging vs. electrophysiology) are analyzed separately, while means to fuse both data streams have not been introduced.
Methods: Here, we present a tool that integrates resources from stereotactic planning, neuroimaging, MER, and high-resolution atlas data to create a real-time visualization of the implant trajectory. We validate the tool based on a retrospective cohort of DBS patients (N = 52) offline and present single-use cases of the real-time platform.
Results: We establish an open-source software tool for multimodal data visualization and analysis during DBS surgery. We show a general correspondence between features derived from neuroimaging and electrophysiological recordings and present examples that demonstrate the functionality of the tool.
Conclusions: This novel software platform for multimodal data visualization and analysis bears translational potential to improve accuracy of DBS surgery. The toolbox is made openly available and is extendable to integrate with additional software packages.
en
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
Deep brain stimulation (DBS)
en
dc.subject
Microelectrode recordings (MERs)
en
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit
dc.title
Lead-OR: A multimodal platform for deep brain stimulation surgery
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
e72929
dcterms.bibliographicCitation.doi
10.7554/elife.72929
dcterms.bibliographicCitation.journaltitle
eLife
dcterms.bibliographicCitation.originalpublishername
eLife Sciences Publications
dcterms.bibliographicCitation.volume
11
refubium.affiliation
Charité - Universitätsmedizin Berlin
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.bibliographicCitation.pmid
35594135
dcterms.isPartOf.eissn
2050-084X