Version 1
: Received: 31 March 2019 / Approved: 2 April 2019 / Online: 2 April 2019 (07:39:13 CEST)
Version 2
: Received: 3 April 2019 / Approved: 8 April 2019 / Online: 8 April 2019 (05:46:55 CEST)
How to cite:
Li, Q.; Xue, R. The Pipeline of Processing fMRI Data with Python Based on the Ecosystem NeuroDebian. Preprints2019, 2019040027. https://doi.org/10.20944/preprints201904.0027.v2
Li, Q.; Xue, R. The Pipeline of Processing fMRI Data with Python Based on the Ecosystem NeuroDebian. Preprints 2019, 2019040027. https://doi.org/10.20944/preprints201904.0027.v2
Li, Q.; Xue, R. The Pipeline of Processing fMRI Data with Python Based on the Ecosystem NeuroDebian. Preprints2019, 2019040027. https://doi.org/10.20944/preprints201904.0027.v2
APA Style
Li, Q., & Xue, R. (2019). The Pipeline of Processing fMRI Data with Python Based on the Ecosystem NeuroDebian. Preprints. https://doi.org/10.20944/preprints201904.0027.v2
Chicago/Turabian Style
Li, Q. and Rong Xue. 2019 "The Pipeline of Processing fMRI Data with Python Based on the Ecosystem NeuroDebian" Preprints. https://doi.org/10.20944/preprints201904.0027.v2
Abstract
In the neuroscience research field, specific for medical imaging analysis, how to mining more latent medical information from big medical data is significant for us to find the solution of diseases. In this review, we focus on neuroimaging data that is functional Magnetic Resonance Imaging (fMRI) which non-invasive techniques, it already becomes popular tools in the clinical neuroscience and functional cognitive science research. After we get fMRI data, we actually have various software and computer programming that including open source and commercial, it's very hard to choose the best software to analyze data. What's worse, it would cause final result imbalance and unstable when we combine more than software together, so that's why we want to make a pipeline to analyze data. On the other hand, with the growing of machine learning, Python has already become one of very hot and popular computer programming. In addition, it is an open source and dynamic computer programming, the communities, libraries and contributors fast increase in the recent year. Through this review, we hope that can make neuroimaging data analysis more easy, stable and uniform base the one platform system.
Keywords
neuroscience; big data; functional Magnetic Resonance (fMRI); pipeline; one platform system
Subject
Computer Science and Mathematics, Analysis
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.