Probabilistic maps for deep brain stimulation – Impact of methodological differences
Loading...
Authors
Nordin, Teresa
Vogel, Dorian
Osterlund, Erik
Johansson, Johannes
Fytagoridis, Anders
Blomstedt, Patric
Wardell, Karin
Author (Corporation)
Publication date
2022
Typ of student thesis
Course of study
Type
01A - Journal article
Editors
Editor (Corporation)
Supervisor
Parent work
Brain Stimulation
Special issue
DOI of the original publication
Link
Series
Series number
Volume
15
Issue / Number
5
Pages / Duration
1139-1152
Patent number
Publisher / Publishing institution
Elsevier
Place of publication / Event location
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
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.
Keywords
Deep brain stimulation (DBS), Finite element method (FEM), Electric field simulation, Essential tremor, Improvement maps, Side effects, MRI template
Subject (DDC)
600 - Technik, Medizin, angewandte Wissenschaften
500 - Naturwissenschaften
500 - Naturwissenschaften
Event
Exhibition start date
Exhibition end date
Conference start date
Conference end date
Date of the last check
ISBN
ISSN
1876-4754
1935-861X
1935-861X
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Gold
License
Citation
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