ArticleMovement disorders clinical practice2021
Predicting Outcome in a Cohort of Isolated and Combined Dystonia within Probabilistic Brain Mapping.
Article in Movement disorders clinical practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 10 citations in OpenAlex.
- Putaminal-cortical circuits predict response of bilateral deep brain stimulation of the subthalamic nucleus in the primary Meige syndrome after 5 years.Brain communications · 2025Article
- Modeling the volume of tissue activated in deep brain stimulation and its clinical influence: a review.Frontiers in human neuroscience · 2024Review
- DIPS (Dystonia Image-based Programming of Stimulation: a prospective, randomized, double-blind crossover trial).Neurological research and practice · 2021Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundProbabilistic brain mapping is a promising tool to estimate the expected benefit of pallidal deep brain stimulation (GPi-DBS) in patients with isolated dystonia (IsoD).
objectivesTo investigate the role of probabilistic mapping in combined dystonia (ComD).
methodsWe 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.
resultsA good correlation between observed and predicted outcome was found for both patients with IsoD (n = 14) and ComD (n = 7) (r
conclusionA probabilistic model would be helpful in clinical practice to circumvent unpredictable and less impressive motor results often found in ComD.
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Registered trials
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