Dystonia Image-based Programming of Stimulation: A Prospective, Randomized, Double-blind Crossover Trial

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Clinical Phase

NA

Total Enrollment

80 participants

Study Classification

INTERVENTIONAL

Study Start Date

2021-11-01

Study Completion Date

2025-12-31

Brief Summary

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The primary objective of this exploratory study is to prospectively evaluate the feasibility of image-guided programming of pallidal deep brain stimulation (DBS) for dystonia. The dystonias are a heterogeneous group of movement disorders that share the core clinical feature of abnormal involuntary muscle contractions in common. Pallidal DBS is an established therapy for severe cases with an average improvement in dystonia severity of 50-60%. However, outcomes are variable and difficult to predict, and clinical trials report up to 25% of Nonresponders. Variability in electrode placement and inappropriate stimulation settings may account for much of this variability in outcome. In addition, improvement in dystonia is delayed, often days to weeks after a change in DBS therapy, complicating programming.

Our group recently developed a computer model to predict optimal individualized stimulation settings in patients based on the outcome of a large cohort of of chronically treated patients. In-silico testing showed a 16.3% better mean group improvement with computer-assisted programming compared with physician-assisted programming and a dramatic reduction in non-responders (from 25% to 5%).

In this prospective study, the computer model will be compared in a randomized, controlled, and double blinded setting against best clinical DBS programming. The primary outcome will be a responder analysis in which dystonia severity will be compared between conventional clinical and model-based programming will be compared.

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Detailed Description

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Dystonia is a neurological syndrome characterized by involuntary, sustained, or repetitive muscle contractions of opposing muscle groups that cause twisting movements and abnormal postures. Dystonias meet the prevalence criterion of a rare disorder, with prevalence estimates ranging from 0.2-5/100,000 for infantile or juvenile forms to 3-732/100,000 for dystonias manifesting in adults. In addition to motor impairments and mobility limitations, patients - especially young patients - suffer from non-motor symptoms: depression (\> 15%), anxiety (\> 25%), decreased sleep quality (\> 70%), and pain (\> 75%). In addition, there is a high risk of economic impairment, including job loss (\> 55%), and decreased productivity are serious social consequences (\> 50%). However, disability is usually secondary to motor impairment, and adequate treatment of motor symptoms can lead to profound improvements in quality of life (Skogseid et al. 2007). Currently, there is no cure for dystonia, and pharmacological symptom treatment is limited. Deep brain stimulation (DBS) of the internal globus pallidus (GPi) is a recommended therapy for severe dystonia with Class I evidence for safety and efficacy (Vidailhet et al. 2005; Volkmann et al. 2012; Volkmann et al. 2014). However, clinical trials report up to 25% non-responders (\<25% motor improvement) (Volkmann et al. 2012; Volkmann et al. 2014). Variability in electrode placement and inappropriate stimulation settings may explain much of this outcome variability (Reich et al. 2019). In addition, dystonia improves with a delay, often weeks after initiation or days after switching neurostimulation therapy, complicating clinical programming for DBS (Kupsch et al. 2011). Our group recently presented a novel approach based on empirical knowledge from a large cohort of chronically treated patients. We defined probabilistic maps of antidystonic effects using electrode position and volumes of tissue activation (VTA) from \>100 patients. This method predicts a 16.3% better mean group improvement with computer-selected electrode choices compared with physician programming and a reduced proportion of non-responders from 25% to \<5% (Reich et al. 2019). This potential advantage of computer-assisted programming capabilities will be tested in the study described here.

This study is supported by the Bundesministerium für Bildung und Forschung (BMBF): Förderkennzeichen: 01KG2032

Conditions

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Dystonia Deep Brain Stimulation

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

CROSSOVER

Primary Study Purpose

TREATMENT

Blinding Strategy

TRIPLE

Participants Caregivers Outcome Assessors

Study Groups

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Computer

Programming based on computer-guided assessment

Group Type EXPERIMENTAL

DBS programming

Intervention Type OTHER

DBS readjustment based on COMPUTER or CLINICAL program

CLINICAL

Programming based on clinically-guided assessment

Group Type ACTIVE_COMPARATOR

DBS programming

Intervention Type OTHER

DBS readjustment based on COMPUTER or CLINICAL program

Interventions

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DBS programming

DBS readjustment based on COMPUTER or CLINICAL program

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Chronic deep brain stimulation (\> 1 year) in the internal globus pallidus in patients with isolated dystonia.
* Deep brain stimulation settings and dystonia medication stable for \> 3 months.
* Understanding about and consent to the study and signed informed consent form.