Probabilistic maps for deep brain stimulation – Impact of methodological differences
Autor:innen
Nordin, Teresa
Vogel, Dorian
Osterlund, Erik
Johansson, Johannes
Fytagoridis, Anders
Blomstedt, Patric
Wardell, Karin
Autor:in (Körperschaft)
Publikationsdatum
2022
Typ der Arbeit
Studiengang
Typ
01A - Beitrag in wissenschaftlicher Zeitschrift
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Brain Stimulation
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Reihennummer
Jahrgang / Band
15
Ausgabe / Nummer
5
Seiten / Dauer
1139-1152
Patentnummer
Verlag / Herausgebende Institution
Elsevier
Verlagsort / Veranstaltungsort
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
Background
Group analysis of patients with deep brain stimulation (DBS) has the potential to help understand and optimize the treatment of patients with movement disorders. Probabilistic stimulation maps (PSM) are commonly used to analyze the correlation between tissue stimulation and symptomatic effect but are applied with different methodological variations.
Objective
To compute a group-specific MRI template and PSMs for investigating the impact of PSM model parameters.
Methods
Improvement and occurrence of dizziness in 68 essential tremor patients implanted in caudal zona incerta were analyzed. The input data includes the best parameters for each electrode contact (screening), and the clinically used settings. Patient-specific electric field simulations (n = 488) were computed for all DBS settings. The electric fields were transformed to a group-specific MRI template for analysis and visualization. The different comparisons were based on PSMs representing occurrence (N-map), mean improvement (M-map), weighted mean improvement (wM-map), and voxel-wise t-statistics (p-map). These maps were used to investigate the impact from input data (clinical/screening settings), clustering methods, sampling resolution, and weighting function.
Results
Screening or clinical settings showed the largest impacts on the PSMs. The average differences of wM-maps were 12.4 and 18.2% points for the left and right sides respectively. Extracting clusters based on wM-map or p-map showed notable variation in volumes, while positioning was similar. The impact on the PSMs was small from weighting functions, except for a clear shift in the positioning of the wM-map clusters.
Conclusion
The distribution of the input data and the clustering method are most important to consider when creating PSMs for studying the relationship between anatomy and DBS outcome.
Schlagwörter
Deep brain stimulation (DBS), Finite element method (FEM), Electric field simulation, Essential tremor, Improvement maps, Side effects, MRI template
Fachgebiet (DDC)
600 - Technik, Medizin, angewandte Wissenschaften
500 - Naturwissenschaften
500 - Naturwissenschaften
Veranstaltung
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
Enddatum der Konferenz
Datum der letzten Prüfung
ISBN
ISSN
1876-4754
1935-861X
1935-861X
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Zukunftsfelder FHNW
Publikationsstatus
Veröffentlicht
Begutachtung
Peer-Review der ganzen Publikation
Open Access-Status
Gold
Lizenz
Zitation
NORDIN, Teresa, Dorian VOGEL, Erik OSTERLUND, Johannes JOHANSSON, Anders FYTAGORIDIS, Patric BLOMSTEDT, Simone HEMM-ODE und Karin WARDELL, 2022. Probabilistic maps for deep brain stimulation – Impact of methodological differences. Brain Stimulation. 2022. Bd. 15, Nr. 5, S. 1139–1152. DOI 10.1016/j.brs.2022.08.010. Verfügbar unter: https://doi.org/10.26041/fhnw-4327