Auflistung nach Autor:in "Wårdell, Karin"

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3D Visualization of intraoperative stimulation test results for better target selection in DBS surgery (U-PP-04)
(2016) Shah, Ashesh; Alonso, Fabiola; Pison, Daniela; Lemaire, Jean-Jaques; Wårdell, Karin; Coste, Jérôme; Schkommodau, Erik; Hemm-Ode, Simone
06 - Präsentation
A method for side effect analysis based on electricfield simulations for intraoperative test stimulation in deep brain stimulation surgery
(2015) Pison, Daniela; Alonso, Fabiola; Wårdell, Karin; Shah, Ashesh; Coste, Jérôme; Lemaire, Jean-Jaques; Schkommodau, Erik; Hemm-Ode, Simone
04B - Beitrag Konferenzschrift
Deep brain stimulation: emerging tools for simulation, data analysis, and visualization
(Frontiers, 11.04.2022) Wårdell, Karin; Nordin, Teresa; Zsigmond, Peter; Westin, Carl-Fredrik; Hariz, Marwan; Vogel, Dorian; Hemm-Ode, Simone
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.
01A - Beitrag in wissenschaftlicher Zeitschrift
How sample size impacts probabilistic stimulation maps in deep brain stimulation
(MDPI, 03.05.2023) Nordin, Teresa; Blomstedt, Patric; Hemm-Ode, Simone; Wårdell, Karin
Probabilistic stimulation maps of deep brain stimulation (DBS) effect based on voxel-wise statistics (p-maps) have increased in literature over the last decade. These p-maps require correction for Type-1 errors due to multiple testing based on the same data. Some analyses do not reach overall significance, and this study aims to evaluate the impact of sample size on p-map computation. A dataset of 61 essential tremor patients treated with DBS was used for the investigation. Each patient contributed with four stimulation settings, one for each contact. From the dataset, 5 to 61 patients were randomly sampled with replacement for computation of p-maps and extraction of high- and low-improvement volumes. For each sample size, the process was iterated 20 times with new samples generating in total 1140 maps. The overall p-value corrected for multiple comparisons, significance volumes, and dice coefficients (DC) of the volumes within each sample size were evaluated. With less than 30 patients (120 simulations) in the sample, the variation in overall significance was larger and the median significance volumes increased with sample size. Above 120 simulations, the trends stabilize but present some variations in cluster location, with a highest median DC of 0.73 for n = 57. The variation in location was mainly related to the region between the high- and low-improvement clusters. In conclusion, p-maps created with small sample sizes should be evaluated with caution, and above 120 simulations in single-center studies are probably required for stable results.
01A - Beitrag in wissenschaftlicher Zeitschrift
Patient-specific electric field simulations and acceleration measurements for objective analysis of intraoperative stimulation tests in the thalamus
(Frontiers, 25.11.2016) Hemm-Ode, Simone; Pison, Daniela; Alonso, Fabiola; Shah, Ashesh; Coste, Jérôme; Lemaire, Jean-Jaques; Wårdell, Karin
01A - Beitrag in wissenschaftlicher Zeitschrift