Probabilistic mapping reveals optimal stimulation site in essential tremor.

Nowacki, Andreas; Barlatey, Sabry; Al-Fatly, Bassam; Dembek, Till; Bot, Maarten; Green, Alexander L; Kübler, Dorothee; Lachenmayer, M. Lenard; Debove, Ines; Segura-Amil, Alba; Horn, Andreas; Visser-Vandewalle, Veerle; Schuurman, Rick; Barbe, Michael; Aziz, Tipu Z; Kühn, Andrea A; Nguyen, T A Khoa; Pollo, Claudio (2022). Probabilistic mapping reveals optimal stimulation site in essential tremor. Annals of neurology, 91(5), pp. 602-612. Wiley-Blackwell 10.1002/ana.26324

Annals_of_Neurology_-_2022_-_Nowacki_-_Probabilistic_mapping_reveals_optimal_stimulation_site_in_essential_tremor.pdf - Accepted Version
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To obtain individual clinical and neuroimaging data of patients undergoing Deep Brain Stimulation for essential tremor from five different European centers to identify predictors of outcome and to identify an optimal stimulation site.


We analysed retrospectively baseline covariates, pre- and postoperative clinical tremor scores (12-month) as well as individual imaging data from 119 patients to obtain individual electrode positions and stimulation volumes. Individual imaging and clinical data was used to calculate a probabilistic stimulation map in normalized space using voxel-wise statistical analysis. Finally, we used this map to train a classifier to predict tremor improvement.


Probabilistic mapping of stimulation effects yielded a statistically significant cluster that was associated with a tremor improvement greater than 50%. This cluster of optimal stimulation extended from the posterior subthalamic area to the ventralis intermedius nucleus and coincided with a normative structural-connectivity-based cerebello-thalamic tract (CTT). The combined features "distance between the stimulation volume and the significant cluster" and "CTT activation" were used as a predictor of tremor improvement. This correctly classified a greater than 50% tremor improvement with a sensitivity of 89% and a specificity of 57%.


Our multicentre ET probabilistic stimulation map identified an area of optimal stimulation along the course of the CTT. The results of this study are mainly descriptive until confirmed in independent datasets, ideally through prospective testing. This target will be made openly available and may be used to guide surgical planning and for computer-assisted programming of deep brain stimulation in the future. This article is protected by copyright. All rights reserved.

Item Type:

Journal Article (Original Article)


04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurosurgery
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research
04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurology

UniBE Contributor:

Nowacki, Andreas, Barlatey, Sabry, Lachenmayer, Lenard, Debove, Ines, Segura Amil, Alba, Nguyen, Thuy Anh Khoa, Pollo, Claudio


600 Technology > 610 Medicine & health
500 Science > 570 Life sciences; biology








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Date Deposited:

21 Feb 2022 16:12

Last Modified:

14 Feb 2023 00:25

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