Deep brain stimulation: emerging tools for simulation, data analysis, and visualization
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Dateien
Autor:innen
Wårdell, Karin
Nordin, Teresa
Zsigmond, Peter
Westin, Carl-Fredrik
Hariz, Marwan
Vogel, Dorian
Autor:in (Körperschaft)
Publikationsdatum
11.04.2022
Typ der Arbeit
Studiengang
Typ
01A - Beitrag in wissenschaftlicher Zeitschrift
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Frontiers in Neuroscience
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Reihennummer
Jahrgang / Band
16
Ausgabe / Nummer
Seiten / Dauer
Patentnummer
Verlag / Herausgebende Institution
Frontiers
Verlagsort / Veranstaltungsort
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
Deep brain stimulation (DBS) is a well-established neurosurgical procedure for movement disorders that is also being explored for treatment-resistant psychiatric conditions. This review highlights important consideration for DBS simulation and data analysis. The literature on DBS has expanded considerably in recent years, and this article aims to identify important trends in the field. During DBS planning, surgery, and follow up sessions, several large data sets are created for each patient, and it becomes clear that any group analysis of such data is a big data analysis problem and has to be handled with care. The aim of this review is to provide an update and overview from a neuroengineering perspective of the current DBS techniques, technical aids, and emerging tools with the focus on patient-specific electric field (EF) simulations, group analysis, and visualization in the DBS domain. Examples are given from the state-of-the-art literature including our own research. This work reviews different analysis methods for EF simulations, tractography, deep brain anatomical templates, and group analysis. Our analysis highlights that group analysis in DBS is a complex multi-level problem and selected parameters will highly influence the result. DBS analysis can only provide clinically relevant information if the EF simulations, tractography results, and derived brain atlases are based on as much patient-specific data as possible. A trend in DBS research is creation of more advanced and intuitive visualization of the complex analysis results suitable for the clinical environment.
Schlagwörter
deep brain stimulation (DBS), modeling and simulation, neuroimaging, probabilistic mapping, connectivity, intraoperative measurements, visualization
Fachgebiet (DDC)
500 - Naturwissenschaften
Veranstaltung
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
Enddatum der Konferenz
Datum der letzten Prüfung
ISBN
ISSN
1662-453X
1662-4548
1662-4548
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Zukunftsfelder FHNW
Publikationsstatus
Veröffentlicht
Begutachtung
Peer-Review der ganzen Publikation
Open Access-Status
Gold
Lizenz
Zitation
WÅRDELL, Karin, Teresa NORDIN, Peter ZSIGMOND, Carl-Fredrik WESTIN, Marwan HARIZ, Dorian VOGEL und Simone HEMM-ODE, 2022. Deep brain stimulation: emerging tools for simulation, data analysis, and visualization. Frontiers in Neuroscience. 11 April 2022. Bd. 16. DOI 10.3389/fnins.2022.834026. Verfügbar unter: https://doi.org/10.26041/fhnw-4324