MEGIN Masterclass

FLUX: A pipeline for MEG analysis supported by code and examples

Presented by Oscar Ferrante and Ole Jensen.

Abstract: “While there are several powerful open-source toolboxes developed for MEG analysis, the many options they provide pose a challenge for reproducible research as well as for researchers new to the field. The FLUX pipeline aims to make settings and analyses steps explicit for standard analysis done in clinical and cognitive neuroscience. Specifically, the pipeline includes documented code for MNE Python and FieldTrip as well as a data set to illustrate the steps. The pipeline also provides suggestions for text and parameter settings to be used in publications to improve replicability and facilitate pre-registrations. We expect that the FLUX pipeline will strengthen the field of MEG by providing standardization on the basic analysis steps as well as by supporting training.

References
Ferrante O, Liu L, Minarik T, Gorska U, Ghafari T, Luo H, Jensen O. FLUX: A pipeline for MEG analysis. Neuroimage. 2022 Mar 8:119047. doi: 10.1016/j.neuroimage.2022.119047.
https://www.neuosc.com/flux“

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**TRIUX™ neo is intended to non-invasively record brain activity, and when interpreted by trained physicians, to help localize these active areas. All other applications are scientific research in nature. Please contact MEGIN for further information.