OSS-DBS v2: Simulation Platform for Biophysical Modelling of Deep Brain Stimulation

Abstract

Deep brain stimulation (DBS) is a well-established therapy for various neurological disorders. Clinical outcomes of DBS depend on electrode placement and stimulation programming, with growing evidence suggesting that targeting specific sites and networks can improve therapeutic efficacy. This targeting can be facilitated using high-accuracy, multi-modal biophysical models. In this article, we present the open-source platform OSS-DBS v2 that enables researchers and clinicians to build such biophysical models. Building upon previous work, the new version combines automated volume conductor generation, accurate and efficient electric field modelling and stimulation-driven neural simulations. OSS-DBS v2 provides an extensive library of intracranial electrodes, which can be modelled simultaneously to test complex stimulation paradigms. Its application programming interface facilitates integration of external data workflows, such as impedance measurements. Furthermore, an integration with the Lead-DBS toolbox offered a straightforward graphical user interface for stimulation volume and pathway activation modelling, further complemented by an optimization framework. OSS-DBS v2 relies entirely on open-source software, supports all major operating systems and is designed for efficient execution on consumer-grade hardware.

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Cite

BibTeX RIS

BibTeX

@misc{zimmermann2026ossdbs,
  title = {{OSS-DBS v2: Simulation Platform for Biophysical Modelling of Deep Brain Stimulation}},
  author = {J. Zimmermann and J. P. Payonk and L. V. Che and J. Schöberl and T. A. Dembek and A. Horn and U. van Rienen and K. Butenko},
  howpublished = {medRxiv},
  year = {2026},
  month = oct,
  doi = {10.64898/2026.10.10.26365197},
  url = {https://www.medrxiv.org/content/10.64898/2026.10.10.26365197v1},
  note = {CC BY-NC-ND},
}

RIS

TY  - UNPB
TI  - OSS-DBS v2: Simulation Platform for Biophysical Modelling of Deep Brain Stimulation
AU  - J. Zimmermann
AU  - J. P. Payonk
AU  - L. V. Che
AU  - J. Schöberl
AU  - T. A. Dembek
AU  - A. Horn
AU  - U. van Rienen
AU  - K. Butenko
PY  - 2026
DA  - 2026/10/10
PB  - medRxiv
DO  - 10.64898/2026.10.10.26365197
UR  - https://www.medrxiv.org/content/10.64898/2026.10.10.26365197v1
AB  - Deep brain stimulation (DBS) is a well-established therapy for various neurological disorders. Clinical outcomes of DBS depend on electrode placement and stimulation programming, with growing evidence suggesting that targeting specific sites and networks can improve therapeutic efficacy. This targeting can be facilitated using high-accuracy, multi-modal biophysical models. In this article, we present the open-source platform OSS-DBS v2 that enables researchers and clinicians to build such biophysical models. Building upon previous work, the new version combines automated volume conductor generation, accurate and efficient electric field modelling and stimulation-driven neural simulations. OSS-DBS v2 provides an extensive library of intracranial electrodes, which can be modelled simultaneously to test complex stimulation paradigms. Its application programming interface facilitates integration of external data workflows, such as impedance measurements. Furthermore, an integration with the Lead-DBS toolbox offered a straightforward graphical user interface for stimulation volume and pathway activation modelling, further complemented by an optimization framework. OSS-DBS v2 relies entirely on open-source software, supports all major operating systems and is designed for efficient execution on consumer-grade hardware.
ER  -

Abstract

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