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Integrated open-source software for multiscale electrophysiology.

Konstantinos NasiotisMartin CousineauFrançois TadelAdrien PeyracheRichard M LeahyChristopher C PackSylvain Baillet
Published in: Scientific data (2019)
The methods for electrophysiology in neuroscience have evolved tremendously over the recent years with a growing emphasis on dense-array signal recordings. Such increased complexity and augmented wealth in the volume of data recorded, have not been accompanied by efforts to streamline and facilitate access to processing methods, which too are susceptible to grow in sophistication. Moreover, unsuccessful attempts to reproduce peer-reviewed publications indicate a problem of transparency in science. This growing problem could be tackled by unrestricted access to methods that promote research transparency and data sharing, ensuring the reproducibility of published results. Here, we provide a free, extensive, open-source software that provides data-analysis, data-management and multi-modality integration solutions for invasive neurophysiology. Users can perform their entire analysis through a user-friendly environment without the need of programming skills, in a tractable (logged) way. This work contributes to open-science, analysis standardization, transparency and reproducibility in invasive neurophysiology.
Keyphrases
  • data analysis
  • electronic health record
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  • healthcare
  • systematic review
  • health information
  • low cost
  • deep learning