Deep brain stimulation of symptom-specific networks in Parkinson’s disease

Deep brain stimulation of symptom-specific networks in Parkinson’s disease

31 May 2024 | Nanditha Rajamani, Helen Friedrich, Konstantin Butenko, Till Dembek, Florian Lange, Pavel Navrátil, Patricia Zvarova, Barbara Hollunder, Rob M. A. de Bie, Vincent J. J. Odekerken, Jens Volkmann, Xin Xu, Zhipei Ling, Chen Yao, Petra Ritter, Wolf-Julian Neumann, Georgios P. Skandalakis, Spyridon Komaitis, Aristotelis Kalyvas, Christos Koutsarnakis, George Stranjalis, Michael Barbe, Vanessa Milanese, Michael D. Fox, Andrea A. Kühn, Erik Middlebrooks, Ningfel Li, Martin Reich, Clemens Neudorfer, Andreas Horn
This study investigates the use of Deep Brain Stimulation (DBS) to improve specific symptoms in Parkinson's disease (PD). The researchers analyzed a large cohort of 237 patients from five centers to identify the white matter tracts associated with improvements in tremor, bradykinesia, rigidity, and axial symptoms. They found that tremor improvements were linked to tracts connected to the primary motor cortex and cerebellum, while axial symptoms were associated with tracts connected to the supplementary motor cortex and brainstem. Bradykinesia and rigidity improvements were linked to tracts connected to the supplementary motor and premotor cortices, respectively. The study introduced an algorithm called "Cleartune" that suggests optimal stimulation parameters based on individual patient symptom profiles. The algorithm was validated using out-of-sample datasets and prospectively tested in five patients, showing promising results. The findings suggest that personalized DBS treatment based on symptom-specific tracts could improve clinical outcomes and patient satisfaction.This study investigates the use of Deep Brain Stimulation (DBS) to improve specific symptoms in Parkinson's disease (PD). The researchers analyzed a large cohort of 237 patients from five centers to identify the white matter tracts associated with improvements in tremor, bradykinesia, rigidity, and axial symptoms. They found that tremor improvements were linked to tracts connected to the primary motor cortex and cerebellum, while axial symptoms were associated with tracts connected to the supplementary motor cortex and brainstem. Bradykinesia and rigidity improvements were linked to tracts connected to the supplementary motor and premotor cortices, respectively. The study introduced an algorithm called "Cleartune" that suggests optimal stimulation parameters based on individual patient symptom profiles. The algorithm was validated using out-of-sample datasets and prospectively tested in five patients, showing promising results. The findings suggest that personalized DBS treatment based on symptom-specific tracts could improve clinical outcomes and patient satisfaction.
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[slides and audio] Deep brain stimulation of symptom-specific networks in Parkinson%E2%80%99s disease