NeuroPycon: An open-source python toolbox for fast multi-modal and reproducible brain connectivity pipelines.

NeuroImage
David MeunierKarim Jerbi

Abstract

Recent years have witnessed a massive push towards reproducible research in neuroscience. Unfortunately, this endeavor is often challenged by the large diversity of tools used, project-specific custom code and the difficulty to track all user-defined parameters. NeuroPycon is an open-source multi-modal brain data analysis toolkit which provides Python-based template pipelines for advanced multi-processing of MEG, EEG, functional and anatomical MRI data, with a focus on connectivity and graph theoretical analyses. Importantly, it provides shareable parameter files to facilitate replication of all analysis steps. NeuroPycon is based on the NiPype framework which facilitates data analyses by wrapping many commonly-used neuroimaging software tools into a common Python environment. In other words, rather than being a brain imaging software with is own implementation of standard algorithms for brain signal processing, NeuroPycon seamlessly integrates existing packages (coded in python, Matlab or other languages) into a unified python framework. Importantly, thanks to the multi-threaded processing and computational efficiency afforded by NiPype, NeuroPycon provides an easy option for fast parallel processing, which critical when handl...Continue Reading

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Citations

Oct 13, 2020·Pain·Camille FauchonKaren D Davis
Jun 18, 2021·Computational Intelligence and Neuroscience·Simon WeinElmar W Lang
Jul 24, 2021·Cerebral Cortex Communications·Camille FauchonRoland Peyron
Jul 16, 2021·Progress in Neuro-psychopharmacology & Biological Psychiatry·Je-Yeon Yun, Yong-Ku Kim

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