Evidence map›Paper›PMID 39009601›Full record

ArticleNPJ Parkinson's disease2024

DBScope as a versatile computational toolbox for the visualization and analysis of sensing data from deep brain stimulation.

Andreia M Oliveira, Eduardo Carvalho, Beatriz Barros, Carolina Soares, Manuel J Ferreira-Pinto, Rui Vaz, Paulo Aguiar

Abstract read
In one paragraph

Article in NPJ Parkinson's disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Andreia M Oliveira *Neuroengineering and Computational Neuroscience Lab, Instituto de Investigação e Inovação em Saúde (i3S) - University of Porto, Porto, Portugal.ORCID http://orcid.org/0000-0001-7448-7761
Eduardo Carvalho *Neuroengineering and Computational Neuroscience Lab, Instituto de Investigação e Inovação em Saúde (i3S) - University of Porto, Porto, Portugal.ORCID http://orcid.org/0000-0001-6999-9834
Beatriz BarrosNeuroengineering and Computational Neuroscience Lab, Instituto de Investigação e Inovação em Saúde (i3S) - University of Porto, Porto, Portugal.
Carolina SoaresFaculty of Medicine of University of Porto (FMUP), Porto, Portugal.
Manuel J Ferreira-PintoFaculty of Medicine of University of Porto (FMUP), Porto, Portugal.ORCID http://orcid.org/0000-0003-2418-5890
Rui VazFaculty of Medicine of University of Porto (FMUP), Porto, Portugal.
Paulo AguiarNeuroengineering and Computational Neuroscience Lab, Instituto de Investigação e Inovação em Saúde (i3S) - University of Porto, Porto, Portugal. pauloaguiar@i3s.up.pt.ORCID http://orcid.org/0000-0003-4164-5713

Funding

"la Caixa" Foundation (Caixa Foundation) HR22-00189
6 · The paper itself

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).

Identifiers

PMID39009601
PMCPMC11251161

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.