Comparative analysis of statistical methods for determining Deep Brain Stimulation sweet spots - Archive ouverte HAL
Communication Dans Un Congrès Année : 2024

Comparative analysis of statistical methods for determining Deep Brain Stimulation sweet spots

Résumé

The precise location of the optimal target, or sweet spot, for Deep Brain Stimulation (DBS) is still unknown. However, its determination plays a pivotal role in guiding algorithms for the automatic programming of DBS parameters. Several studies have approached this problem, mainly employing t-test and Wilcoxon test to obtain probabilistic stimulation maps. However, a thorough assessment of the chosen statistical method’s influence on the sweet spot extracted from group analysis is still missing. The objective of this study is to compare the outcomes of the above mentioned statistical tests applied to DBS patients data.
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Dates et versions

hal-04680036 , version 1 (28-08-2024)

Identifiants

  • HAL Id : hal-04680036 , version 1

Citer

Vittoria Bucciarelli, Dorian Vogel, Teresa Nordin, Karin Wårdell, Jerome Coste, et al.. Comparative analysis of statistical methods for determining Deep Brain Stimulation sweet spots. 20th Biennial Meeting of the World Society for Stereotactic and Functional Neurosurgery, WSSFN World Society for Stereotactic and Functional Neurosurgery, Sep 2024, Chicago, United States. page 295-296 / EP077 #199. ⟨hal-04680036⟩
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