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  Good practice for conducting and reporting MEG research

Gross, J., Baillet, S., Barnes, G. R., Henson, R. N., Hillebrand, A., Jensen, O., et al. (2013). Good practice for conducting and reporting MEG research. NeuroImage, 65, 349-363. doi:10.1016/j.neuroimage.2012.10.001.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-000E-E28D-F Version Permalink: http://hdl.handle.net/21.11116/0000-0003-AFFA-F
Genre: Journal Article

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 Creators:
Gross, Joachim1, Author
Baillet, Sylvain2, Author
Barnes, Gareth R.3, Author
Henson, Richard N.4, Author
Hillebrand, Arjan5, Author
Jensen, Ole6, Author
Jerbi, Karim7, Author
Litvak, Vladimir3, Author
Maess, Burkhard8, Author              
Oostenveld, Robert6, Author
Parkkonen, Lauri9, 10, Author
Taylor, Jason R.4, Author
Van Wassenhove, Virginie11, 12, 13, Author
Wibral, Michael14, Author
Schoffelen, Jan-Mathijs6, 15, Author
Affiliations:
1Centre for Cognitive Neuroimaging, University of Glasgow, Glasgow, UK, ou_persistent22              
2McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada, ou_persistent22              
3Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, WC1N 3BG UK, ou_persistent22              
4MRC Cognition and Brain Sciences Unit, Cambridge, UK, ou_persistent22              
5Department of Clinical Neurophysiology and Magnetoencephalography Center, VU University Medical Center, Amsterdam, The Netherlands, ou_persistent22              
6Radboud University Nijmegen, Donders Institute for Brain Cognition and Behaviour, Nijmegen, The Netherlands, ou_persistent22              
7Lyon Neuroscience Research Center (CRNL), INSERM U1028, CNRS UMR5292, Lyon University, Lyon, France, ou_persistent22              
8Methods and Development Unit MEG and EEG: Signal Analysis and Modelling, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634559              
9Brain Research Unit, O.V. Lounasmaa laboratory, Aalto University School of Science, Espoo, Finland, ou_persistent22              
10Dept. of Biomedical Engineering and Computational Science, Aalto University School of Science, Espoo, Finland, ou_persistent22              
11INSERM, U992, Cognitive Neuroimaging Unit, F-91191 Gif/Yvette, France, ou_persistent22              
12CEA, DSV/I2BM, NeuroSpin Center, F-91191 Gif/Yvette, France, ou_persistent22              
13Univ Paris-Sud, Cognitive Neuroimaging Unit, F-91191 Gif/Yvette, France, ou_persistent22              
14Brain Imaging Centre, Frankfurt, Germany, ou_persistent22              
15MPI for Psycholinguistics, Nijmegen, The Netherlands, ou_persistent22              

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Free keywords: Magnetoencephalography; MEG; Acquisition; Analysis; Connectivity; Source localization; Guidelines; Recommendations; Reproducible research; Spectral analysis
 Abstract: Magnetoencephalographic (MEG) recordings are a rich source of information about the neural dynamics underlying cognitive processes in the brain, with excellent temporal and good spatial resolution. In recent years there have been considerable advances in MEG hardware developments as well as methodological developments. Sophisticated analysis techniques are now routinely applied and continuously improved, leading to fascinating insights into the intricate dynamics of neural processes. However, the rapidly increasing level of complexity of the different steps in a MEG study make it difficult for novices, and sometimes even for experts, to stay aware of possible limitations and caveats. Furthermore, the complexity of MEG data acquisition and data analysis requires special attention when describing MEG studies in publications, in order to facilitate interpretation and reproduction of the results. This manuscript aims at making recommendations for a number of important data acquisition and data analysis steps and suggests details that should be specified in manuscripts reporting MEG studies. These recommendations will hopefully serve as guidelines that help to strengthen the position of the MEG research community within the field of neuroscience, and may foster discussion within the community in order to further enhance the quality and impact of MEG research.

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Language(s): eng - English
 Dates: 2012-10-012012-10-062013-01-15
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.neuroimage.2012.10.001
PMID: 23046981
PMC: PMC3925794
 Degree: -

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Title: NeuroImage
Source Genre: Journal
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Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 65 Sequence Number: - Start / End Page: 349 - 363 Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166