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Functional and Structural Connectivity Patterns Associated with Clinical Outcomes in Deep Brain Stimulation of the Globus Pallidus Internus for Generalized Dystonia - AJNR News Digest
November-December 2022
Functional
Figure 3 from Middlebrooks

Functional and Structural Connectivity Patterns Associated with Clinical Outcomes in Deep Brain Stimulation of the Globus Pallidus Internus for Generalized Dystonia

Middlebrooks picture

Erik Middlebrooks

Dystonia is a debilitating condition for which deep brain stimulation (DBS) has been suggested as an effective and minimally invasive therapy; however, experience with DBS for dystonia has been mixed. One of the major barriers with dystonia DBS is the lack of immediate clinical biofeedback, such as that seen with Parkinson disease and essential tremor. While these motor symptoms, such as tremor, often respond immediately to activation of DBS, dystonia treatment effect may take weeks or months to manifest, which makes both targeting and programming a much more difficult feat. During the surgical procedure, the lack of immediate biofeedback limits intraoperative testing for efficacy and may therefore result in a higher percentage of off-target implantations. Secondly, the postoperative programming is limited, as parameters generally must be blindly chosen and investigated for several weeks to determine whether modification is required. This leads to substantially longer intervals, on the order of months to years, to optimize programming for dystonia, if such optimization is ever reached. This model highlights a huge biomarker gap where connectomics is more needed than ever.

In this pioneering study of connectomics in dystonia DBS led by research fellow Lela Okromelidze, my team was the first to explore connectomics-driven outcomes in generalized dystonia to explore the potential feasibility of a connectomic biomarker to aid targeting and programming. Using a cohort of previously treated patients with dystonia, we analyzed the spatial “sweet spot” for optimal dystonia improvement and found this target to reside slightly more laterally than previously hypothesized along the globus pallidus internus (GPi)/globus pallidus externus (GPe) border posteriorly in the sensorimotor portion of both nuclei. This location suggests a potential role of the GPe efferent tracks to the GPi as a potential modulator for dystonia improvement. This was supported by our connectomic analysis, which confirmed that network overlap with the somatomotor network is a primary driver of improvement in dystonia. Since our publication, studies by other groups have subsequently produced similar results analyzing both generalized dystonia as well as cervical dystonia.1,2 Importantly, this pallidothalamic pathway may underlie a core feature of dystonia pathophysiology, as we would later discover in a separate study looking at dystonic tremor. In this subsequent study, we found additional benefit with stimulation of the ventralis oralis nucleus (site of pallidothalamic input into ventral thalamus) in patients with dystonic tremor compared with the more posterior ventral intermediate nucleus (traditional target for Parkinson tremor and essential tremor).3

In summary, dystonia was one of the earliest models of how connectomics can greatly enhance DBS applications that lack immediate clinical biofeedback. This was critical, as there is an increasing number of applications of DBS that have previously had mixed results that are potentially driven by the lack of clinical biomarkers, including epilepsy, depression, dementia, and others. In our practice, we have incorporated this targeting information into our presurgical planning and postsurgical programming with anecdotal reduction in time to optimization and symptom improvement. We have also been able to revise programming and electrode positioning in patients who previously had suboptimal results, allowing for a greater improvement in symptoms after revision.

References

  1. Horn A, Reich MM, Ewert S, et al. Optimal deep brain stimulation sites and networks for cervical vs. generalized dystonia. Proc Natl Acad Sci USA 2022;119:e2114985119
  2. Raghu ALB, Eraifej J, Sarangmat N, et al. Pallido-putaminal connectivity predicts outcomes of deep brain stimulation for cervical dystonia. Brain 2021;144:3589–96
  3. Tsuboi T, Wong JK, Eisinger RS, et al. Comparative connectivity correlates of dystonic and essential tremor deep brain stimulation. Brain 2021;144:1774–86

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