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Clinical Trial Summary

Rationale: Deep brain stimulation (DBS) of the thalamus is an effective surgical treatment for the patients with advanced essential tremor, despite optimal pharmacological treatment. However, individual improvement after DBS remains variable and 20% of patients experience side effects. To date, DBS-electrode placement and settings in the highly connected thalamus are based on 1,5-Tesla or 3-Tesla MR-images. These low resolution and solely structural modalities are unable to visualize the multiple brain networks to this small nucleus and prevent electrode activation directed at its cortical projections. By using structural 7-Tesla MRI (7T MRI) connectivity to visualize (malfunctioning) brain networks, DBS-electrode placement and activation can be individualized. Objective: Primary objective of the study is to determine whether visualisation of cortical projections originating in the thalamus and the position of the DBS electrode relative to these projections using 7T MRI improves tremor as measured by the clinically validated Essential Tremor Rating Assessment Scale after six months of DBS. Secondary outcomes are: disease related daily functioning, adverse effects, operation time, quality of life, patient satisfaction with treatment outcome and patient evaluation of treatment burden. Study design: The study will be a single center prospective observational study. Study population: Enrollment will be ongoing from June 2023. Intervention (if applicable): No intervention will be applied. Application of 7T MRI for DBS is standard care and outcome scores used will be readily accessible from the already existing advanced electronic DBS database. Main study parameters/endpoints: The primary outcome measure is the change in motor symptoms as measured by the disease-specific Essential Tremor Rating Assessment Scale (TETRAS). This is measured after 6 months of DBS as part of standard care. The secondary outcome measures are the Amsterdam Linear Disability Score for functional health status, Quality of Life in Essential Tremor Questionnaire, patient satisfaction with the treatment, patient evaluation of treatment burden, operating time, hospitalization time, change of tremor medication, side effects and complications. Nature and extent of the burden and risks associated with participation, benefit and group relatedness: The proposed observational research project involves treatment options that are standard care in daily practice. The therapies will not be combined with other research products. Participation in this study constitutes negligible risk according to NFU criteria for human research.


Clinical Trial Description

INTRODUCTION AND RATIONALE Deep brain stimulation (DBS) is an effective treatment in essential tremor (ET), a slowly progressive neurological disorder. The effect of DBS relies on the modulation of malfunctioning brain networks by delivering electrical pulses within the thalamus. However, individual improvement after DBS remains variable and 20% of patients experience side effects. By using structural 7-Tesla magnetic resonance imaging (7T MRI) connectivity to visualize malfunctioning networks, DBS-electrode placement and activation can be individualized. Current DBS-electrode placement and settings in the highly connected thalamus are based on 1.5-Tesla or 3-Tesla MR-images. These low resolution modalities are unable to visualize the multiple brain networks to this small nucleus and prevent electrode activation directed at its cortical projections. Integrated structural (7T MRI) network maps will enable brain network-based and patient-specific DBS, improving motor symptoms and quality of life. Since the 1980s, DBS for ET was targeting the thalamus, a deep-seated grey matter brain nucleus. Current emphasis in the field of DBS is on neural networks rather than separate nuclei in the brain. Several studies showed ET to arise from pathological network activity in cerebellar-thalamic-cortical projections; dentato-rubro-thalamic-tract. In recent years several DBS groups reported about using MRI to visualize thalamic connectivity and the dentato-rubro-thalamic tract, in DBS for ET. The thalamus is part of multiple large brain networks. DBS is effective in improving tremor and quality of life for ET patients only by modulating its motor network. For improving DBS placement and activation, it is essential to understand the networks and the modulatory effect of stimulation. Thus far, visualization of these networks was limited due to low resolution and the lack of structural connectivity (visualising -cerebellar-thalamic-cortical projections using diffusion weighted MRI and probabilistic connectivity). The investigators therefore added 7T T2, FGATIR (fast gray matter inversion recovery sequence) and diffusion-weighted sequences at the Spinoza Centre and showed that probabilistic thalamic network analyses (thalamic segmentation) successfully identifies the area within the thalamus that has the highest density of connections with the motor network in ET patients. In a recent pilot study the investigators showed the implementation of 7T MRI thalamic segmentation is well suited within the existing surgical workflow. By generating a 7-Tesla MRI showing the thalamus (coloured) motor subdivision, this technique clearly visualized this new DBS target. The thalamus and its connections will be visualized using 7T T2, FGATIR and diffusion weighted imaging. The major projections of the thalamus will be visualised, including projections connecting to primary motor and sendory cortex. The location of the electrode (using computed tomography) will be visualised relative to the segmented subdivisions of the thalamus. The 7T MRI network map, generated by combining T2 and diffusion weighted MRI, shows the thalamus (coloured) subdivisions and their cortical projections. The result will then show in which thalamic subdivision(s) the DBS-electrode contact is situated and to which cortical area this projects. Clinical test scores of the electrode contact will then be correlated to the network maps. Stimulation parameters based on 7T MRI network maps are used to optimize and predict outcome in terms of beneficial clinical effects (suppression tremor) and side effects (speech, gait). As all network maps are visualised on MRI, this will readily enable both individual and group analyses (co-registrating maps of multiple patients). In the 350 7T MR-scans the investigators have performed to date, we rarely encountered non-compatible implants or severe claustrophobia. Every patient undergoes screening with a MRI safety questionnaire and MRI metal detector (preventing taking ferromagnetic materials into the MRI). 7T MRI is a non-invasive technique which causes no pain and, importantly, the electromagnetic fields produce no known tissue damage of any kind. The MR system may make loud tapping, knocking, or other noises at times during the procedure. Earplugs are provided to prevent problems that may be associated with noise generated by the scanner. At all times, the patient will be (visually) monitored and will be able to communicate with the 7T MRI technologist using an intercom system. The patient may (request to) stop the acquisition at any time by using the push button (hold by the patient continuously). In sum, due to implementation of 7T MRI brain network analysis, it is now possibly to directly visualize the motor part of the thalamus. In current observational study this technique will be evaluated in a prospective fashion, introducing patient specific brain network-guided DBS for ET with delivering a unique and hitherto unavailable treatment and dataset: 7T MRI visualizes the anatomical connections of the thalamus for each individual DBS electrode contact. Instead of a one-brain-fits all model, the tailored network analyses enable personalized precision modelling in DBS. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT05909839
Study type Observational
Source Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)
Contact Maarten Bot, MD, PhD
Phone 0031621514048
Email m.bot@amsterdamumc.nl
Status Recruiting
Phase
Start date June 9, 2023
Completion date June 9, 2033

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