Sweetspot Mapping in Deep Brain Stimulation: Strengths and Limitations of Current Approaches

Dembek, Till A.; Baldermann, Juan Carlos; Petry‐Schmelzer, Jan Niklas; Jergas, Hannah; Treuer, Harald; Visser‐Vandewalle, Veerle; Dafsari, Haidar S.; Barbe, Michael T.

doi:10.1111/ner.13356

Cited by 29 publications

(21 citation statements)

References 41 publications

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“…Statistically, a t test model comparing to zero has been criticized, in the past, because most patients improve and, therefore, t-values will always be positive. 47 However, because we used the t-values only as a surrogate parameter for our maps and not as an indicator of voxel-wise statistical significance, this problem is only of little importance.…”

Section: Limitationsmentioning

confidence: 99%

The Contribution of Subthalamic Nucleus Deep Brain Stimulation to the Improvement in Motor Functions and Quality of Life

et al. 2022

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A BS TRACT:Background: Subthalamic nucleus deep brain stimulation (STN-DBS) effectively treats motor symptoms and quality of life (QoL) of advanced and fluctuating early Parkinson's disease. Little is known about the relation between electrode position and changes in symptom control and ultimately QoL. Objectives: The relation between the stimulated part of the STN and clinical outcomes, including the motor score of the Unified Parkinson's Disease Rating Scale (UPDRS) and the quality-of-life questionnaire, was assessed in a subcohort of the EARLYSTIM study. Methods: Sixty-nine patients from the EARLYSTIM cohort who underwent DBS, with a comprehensive clinical characterization before and 24 months after surgery, were included. Intercorrelations of clinical outcome changes, correlation between the affected functional parts of the STN,

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Section: Limitationsmentioning

confidence: 99%

The Contribution of Subthalamic Nucleus Deep Brain Stimulation to the Improvement in Motor Functions and Quality of Life

et al. 2022

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“…Some questions remain regarding the optimal DBS target for dystonia in the pallidal region. 24 Previously published approaches result in a variety of different DBS “hotspots” when used in the same dataset. The most recent models, which employed voxel‐wise statistics comparing the outcomes of each voxel against an average of other outcomes in the dataset, explained substantially greater response variance compared to classically‐described target locations.…”

Section: Discussionmentioning

confidence: 99%

“…The most recent models, which employed voxel‐wise statistics comparing the outcomes of each voxel against an average of other outcomes in the dataset, explained substantially greater response variance compared to classically‐described target locations. 11 , 24 , 25 , 26 , 27 These voxel‐wise models provide the highest accuracy and predictive capabilities between detected and predefined outcome maps. Furthermore, these models explain large amounts of variance during the out‐of‐sample prediction analysis, highlighting their potential use to refine DBS delivery and in future applications like computer‐guided DBS programming.…”

Section: Discussionmentioning

confidence: 99%

Predicting Outcome in a Cohort of Isolated and Combined Dystonia within Probabilistic Brain Mapping

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Reich

Costa

et al. 2021

Movement Disord Clin Pract

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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.

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“…In an exploratory analysis, we aimed to map the effects of DBS on tic severity to the volumes of activated tissue (VAT) by the DBS electrodes to illustrate the distribution of the main outcome across the stimulated brain tissue. We performed this analysis following previous approaches to identify optimal DBS "sweet spots" [8,9], a detailed description is given in the supplement. In brief, we reconstructed electrodes and VATs based on individual stimulation parameters in standard space using the Lead-DBS toolbox [10].…”

Section: Mapping Effects Of Dbs To Stimulated Brain Tissuementioning

confidence: 99%

Thalamic deep brain stimulation for Tourette Syndrome: A naturalistic trial with brief randomized, double-blinded sham-controlled periods

et al. 2021

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Sweetspot Mapping in Deep Brain Stimulation: Strengths and Limitations of Current Approaches

Cited by 29 publications

References 41 publications

The Contribution of Subthalamic Nucleus Deep Brain Stimulation to the Improvement in Motor Functions and Quality of Life

The Contribution of Subthalamic Nucleus Deep Brain Stimulation to the Improvement in Motor Functions and Quality of Life

Predicting Outcome in a Cohort of Isolated and Combined Dystonia within Probabilistic Brain Mapping

Thalamic deep brain stimulation for Tourette Syndrome: A naturalistic trial with brief randomized, double-blinded sham-controlled periods

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