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DBScope as a versatile computational toolbox for the visualization and analysis of sensing data from deep brain stimulation.
Oliveira, Andreia M; Carvalho, Eduardo; Barros, Beatriz; Soares, Carolina; Ferreira-Pinto, Manuel J; Vaz, Rui; Aguiar, Paulo.
Afiliação
  • Oliveira AM; Neuroengineering and Computational Neuroscience Lab, Instituto de Investigação e Inovação em Saúde (i3S) - University of Porto, Porto, Portugal.
  • Carvalho E; Faculty of Engineering of University of Porto (FEUP), Porto, Portugal.
  • Barros B; Neuroengineering and Computational Neuroscience Lab, Instituto de Investigação e Inovação em Saúde (i3S) - University of Porto, Porto, Portugal.
  • Soares C; ICBAS School of Medicine and Biomedical Sciences - University of Porto, Porto, Portugal.
  • Ferreira-Pinto MJ; Neuroengineering and Computational Neuroscience Lab, Instituto de Investigação e Inovação em Saúde (i3S) - University of Porto, Porto, Portugal.
  • Vaz R; Faculty of Engineering of University of Porto (FEUP), Porto, Portugal.
  • Aguiar P; Faculty of Medicine of University of Porto (FMUP), Porto, Portugal.
NPJ Parkinsons Dis ; 10(1): 132, 2024 Jul 15.
Article em En | MEDLINE | ID: mdl-39009601
ABSTRACT
Different neurostimulators for deep brain stimulation (DBS) come already with the ability to chronically sense local field potentials during stimulation. This invaluable new data has the potential to increase our understanding of disease-related brain activity patterns, their temporal evolution, and their modulation in response to therapies. It also gives the opportunity to unveil new electrophysiological biomarkers and ultimately bring adaptive stimulation therapies closer to clinical practice. Unfortunately, there are still very limited options on how to visualize, analyze, and exploit the full potential of the sensing data from these new DBS neurostimulators. To answer this need, we developed a free open-source toolbox, named DBScope, that imports data from neurostimulation devices and can be operated in two ways via user interface and programmatically, as a library of functions. In this way, it can be used by both clinicians during clinical sessions (for instance, to visually inspect data from the current or previous in-clinic visits), and by researchers in their research pipelines (e.g., for pre-processing, feature extraction and biomarker search). All in all, the DBScope toolbox is set to facilitate the clinical decision-making process and the identification of clinically relevant biomarkers. The toolbox is already being used in clinical and research environments, and it is freely available to download at GitHub (where it is also fully documented).

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article