A reproducible MEG/EEG group study with the MNE software: Recommendations, quality assessments, and good practices

Mainak Jas; Eric Larson; Denis A. Engemann; Jaakko Leppäkangas; Samu Taulu; Matti Hämäläinen; Alexandre Gramfort

doi:10.3389/fnins.2018.00530

A reproducible MEG/EEG group study with the MNE software: Recommendations, quality assessments, and good practices

Mainak Jas, Eric Larson, Denis A. Engemann, Jaakko Leppäkangas, Samu Taulu, Matti Hämäläinen, Alexandre Gramfort^*

^*Corresponding author for this work

Not published at Aalto University

Research output: Contribution to journal › Article › Scientific › peer-review

91 Citations (Scopus)

Abstract

Original language	English
Article number	530
Journal	Frontiers in Neuroscience
Volume	12
Issue number	AUG
DOIs	https://doi.org/10.3389/fnins.2018.00530
Publication status	Published - 6 Aug 2018
MoE publication type	A1 Journal article-refereed

Funding

This work was supported by National Institute of Biomedical Imaging and Bioengineering grants 5R01EB009048, NIH R01 MH106174 and P41RR014075, National Institute on Deafness and Other Communication Disorders fellowship F32DC012456, NSF awards 0958669 and 1042134, the French National Research Agency (ANR-14-NEUC-0002-01) and the European Research Council Starting Grant SLAB ERC-YStG-676943.

Keywords

Electroencephalography (EEG)
Magnetoencephalography (MEG)
Neuroimaging
Open-source
Python
Software

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10.3389/fnins.2018.00530Licence: CC BY

Cite this

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title = "A reproducible MEG/EEG group study with the MNE software: Recommendations, quality assessments, and good practices",

keywords = "Electroencephalography (EEG), Magnetoencephalography (MEG), Neuroimaging, Open-source, Python, Software",

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AU - Leppäkangas, Jaakko

AU - Taulu, Samu

AU - Hämäläinen, Matti

AU - Gramfort, Alexandre

PY - 2018/8/6

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KW - Open-source

KW - Python

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A reproducible MEG/EEG group study with the MNE software: Recommendations, quality assessments, and good practices

Abstract

Funding

Keywords

Access to Document

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Cite this