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An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
Published on: March 10, 2011
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Dareplane: a modular open-source software platform for BCI research with application in closed-loop deep brain
Matthias Dold1,2,3,4, Joana Pereira1,4,5, Bastian Sajonz4
1Data-Driven Neurotechnology Lab, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.
Journal of Neural Engineering
|February 27, 2025
Summary
Dareplane, an open-source software platform, simplifies complex adaptive deep brain stimulation (aDBS) and brain-computer interface (BCI) research setups. It demonstrates technical feasibility and sufficient performance for real-world neurotechnology applications.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Computer Science
Background:
- Adaptive deep brain stimulation (aDBS) research is hindered by complex experimental setups.
- Developing robust and adaptable brain-computer interfaces (BCIs) requires flexible research platforms.
Purpose of the Study:
- Introduce Dareplane, a modular, technology-agnostic, open-source software platform for BCI research.
- Address the complexity challenges in setting up aDBS experiments.
- Facilitate resilient and replicable neurotechnological system research.
Main Methods:
- Developed Dareplane using a Python-based orchestration module for experimental setup.
- Evaluated platform performance in three benchtop experiments with varying hardware (Arduino, implantable pulse generator, certified neurostimulator).
- Demonstrated technical feasibility in a closed-loop aDBS session with a Parkinson's patient and a non-invasive BCI speller (c-VEP).
Main Results:
- Dareplane is implemented and publicly available on GitHub.
- Benchtop tests confirmed the platform's performance meets aDBS latency requirements.
- Successful implementation of a timing-critical c-VEP speller achieved expected information transfer rates.
Conclusions:
- Dareplane provides a modular, adaptable, and user-friendly solution for BCI and aDBS research.
- The platform enhances the resilience and replicability of neurotechnology experimental setups.
- Dareplane supports advancements in adaptive deep brain stimulation and brain-computer interface research.
