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

Author

Listed:
  • Nanditha Rajamani

    (corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin)

  • Helen Friedrich

    (Harvard Medical School
    Faculty of Medicine)

  • Konstantin Butenko

    (Harvard Medical School)

  • Till Dembek

    (Harvard Medical School
    University of Cologne)

  • Florian Lange

    (University Clinic of Würzburg)

  • Pavel Navrátil

    (University Clinic of Würzburg)

  • Patricia Zvarova

    (corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin
    Einstein Center Digital Future)

  • Barbara Hollunder

    (corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin
    Einstein Center Digital Future
    Charité University Medicine Berlin and Berlin Institute of Health)

  • Rob M. A. de Bie

    (Amsterdam University Medical Center)

  • Vincent J. J. Odekerken

    (Amsterdam University Medical Center)

  • Jens Volkmann

    (University Clinic of Würzburg)

  • Xin Xu

    (Chinese PLA General Hospital)

  • Zhipei Ling

    (Hainan Hospital of Chinese PLA General Hospital)

  • Chen Yao

    (Shenzhen Second People’s Hospital)

  • Petra Ritter

    (corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin
    Einstein Center Digital Future
    Charité University Medicine Berlin and Berlin Institute of Health
    Bernstein center for Computational Neuroscience Berlin)

  • Wolf-Julian Neumann

    (corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin)

  • Georgios P. Skandalakis

    (Dartmouth Hitchcock Medical Center
    Evangelismos General Hospital)

  • Spyridon Komaitis

    (Evangelismos General Hospital
    Nottingham University Hospitals NHS Trust)

  • Aristotelis Kalyvas

    (Evangelismos General Hospital
    University Health Network)

  • Christos Koutsarnakis

    (Evangelismos General Hospital)

  • George Stranjalis

    (Evangelismos General Hospital)

  • Michael Barbe

    (University of Cologne)

  • Vanessa Milanese

    (Hospital Beneficência Portuguesa de São Paulo
    Mayo Clinic
    DOMMO Clinic)

  • Michael D. Fox

    (Harvard Medical School
    Harvard Medical School
    Massachusetts General Hospital)

  • Andrea A. Kühn

    (corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin
    Einstein Center Digital Future
    Charité University Medicine Berlin and Berlin Institute of Health)

  • Erik Middlebrooks

    (Mayo Clinic Florida)

  • Ningfei Li

    (corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin)

  • Martin Reich

    (University Clinic of Würzburg)

  • Clemens Neudorfer

    (corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin
    Harvard Medical School
    Harvard Medical School
    Massachusetts General Hospital)

  • Andreas Horn

    (corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin
    Harvard Medical School
    Harvard Medical School
    Massachusetts General Hospital)

Abstract

Deep Brain Stimulation can improve tremor, bradykinesia, rigidity, and axial symptoms in patients with Parkinson’s disease. Potentially, improving each symptom may require stimulation of different white matter tracts. Here, we study a large cohort of patients (N = 237 from five centers) to identify tracts associated with improvements in each of the four symptom domains. Tremor improvements were associated with stimulation of tracts connected to primary motor cortex and cerebellum. In contrast, axial symptoms are associated with stimulation of tracts connected to the supplementary motor cortex and brainstem. Bradykinesia and rigidity improvements are associated with the stimulation of tracts connected to the supplementary motor and premotor cortices, respectively. We introduce an algorithm that uses these symptom-response tracts to suggest optimal stimulation parameters for DBS based on individual patient’s symptom profiles. Application of the algorithm illustrates that our symptom-tract library may bear potential in personalizing stimulation treatment based on the symptoms that are most burdensome in an individual patient.

Suggested Citation

  • 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 Volkm, 2024. "Deep brain stimulation of symptom-specific networks in Parkinson’s disease," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-48731-1
    DOI: 10.1038/s41467-024-48731-1
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    Cited by:

    1. Guihua Xiao & Yeyi Cai & Yuanlong Zhang & Jingyu Xie & Lifan Wu & Hao Xie & Jiamin Wu & Qionghai Dai, 2024. "Mesoscale neuronal granular trial variability in vivo illustrated by nonlinear recurrent network in silico," Nature Communications, Nature, vol. 15(1), pages 1-16, December.

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