Ontology highlight
ABSTRACT: Background
Probabilistic brain mapping is a promising tool to estimate the expected benefit of pallidal deep brain stimulation (GPi-DBS) in patients with isolated dystonia (IsoD).Objectives
To investigate the role of probabilistic mapping in combined dystonia (ComD).Methods
We rendered the pallidal atlas and the volume of tissue activated (VTA) for a cohort of patients with IsoD (n = 20) and ComD (n = 10) that underwent GPi-DBS. The VTA was correlated with clinical improvement. Afterwards, each VTA was applied on the previously published probabilistic model (Reich et al., 2019). The correlation between predicted and observed clinical benefit was studied in a linear regression model.Results
A good correlation between observed and predicted outcome was found for both patients with IsoD (n = 14) and ComD (n = 7) (r2 = 0.32; P < 0.05). In ComD, 42% of the variance in DBS response is explained by VTA-based outcome map.Conclusion
A probabilistic model would be helpful in clinical practice to circumvent unpredictable and less impressive motor results often found in ComD.
SUBMITTER: Soares C
PROVIDER: S-EPMC8564825 | biostudies-literature | 2021 Nov
REPOSITORIES: biostudies-literature
Soares Carolina C Reich Martin M MM Costa Francisca F Lange Florian F Roothans Jonas J Reis Carina C Vaz Rui R Rosas Maria José MJ Volkmann Jens J
Movement disorders clinical practice 20210924 8
<h4>Background</h4>Probabilistic brain mapping is a promising tool to estimate the expected benefit of pallidal deep brain stimulation (GPi-DBS) in patients with isolated dystonia (IsoD).<h4>Objectives</h4>To investigate the role of probabilistic mapping in combined dystonia (ComD).<h4>Methods</h4>We rendered the pallidal atlas and the volume of tissue activated (VTA) for a cohort of patients with IsoD (n = 20) and ComD (n = 10) that underwent GPi-DBS. The VTA was correlated with clinical improv ...[more]