Brainstorm: a user-friendly application for MEG/EEG analysis
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TLDR
Brainstorm as discussed by the authors is a collaborative open-source application dedicated to magnetoencephalography (MEG) and EEG data visualization and processing, with an emphasis on cortical source estimation techniques and their integration with anatomical magnetic resonance imaging (MRI) data.Abstract:
Brainstorm is a collaborative open-source application dedicated to magnetoencephalography (MEG) and electroencephalography (EEG) data visualization and processing, with an emphasis on cortical source estimation techniques and their integration with anatomical magnetic resonance imaging (MRI) data. The primary objective of the software is to connect MEG/EEG neuroscience investigators with both the best-established and cutting-edge methods through a simple and intuitive graphical user interface (GUI).read more
Citations
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Journal ArticleDOI
MEG and EEG data analysis with MNE-Python
Alexandre Gramfort,Martin Luessi,Eric B. Larson,Denis A. Engemann,Daniel Strohmeier,Christian Brodbeck,Roman Goj,Mainak Jas,Teon L Brooks,Lauri Parkkonen,Matti Hämäläinen +10 more
TL;DR: MNE-Python as discussed by the authors is an open-source software package that provides state-of-the-art algorithms implemented in Python that cover multiple methods of data preprocessing, source localization, statistical analysis, and estimation of functional connectivity between distributed brain regions.
Journal ArticleDOI
MNE software for processing MEG and EEG data
Alexandre Gramfort,Martin Luessi,Eric B. Larson,Denis A. Engemann,Daniel Strohmeier,Christian Brodbeck,Lauri Parkkonen,Matti Hämäläinen +7 more
TL;DR: Detailed information about the MNE package is given and typical use cases are described while also warning about potential caveats in analysis.
Journal ArticleDOI
Resolving human object recognition in space and time
TL;DR: This work acquired human magnetoencephalography and functional magnetic resonance imaging responses to 92 object images and identified transient and persistent neural activities during object processing with sources in V1 and IT.
Journal ArticleDOI
Parameterizing neural power spectra into periodic and aperiodic components.
Thomas Donoghue,Matar Haller,Erik J. Peterson,Paroma Varma,Priyadarshini Sebastian,Richard Gao,Torben Noto,Antonio H. Lara,Joni D. Wallis,Joni D. Wallis,Robert T. Knight,Robert T. Knight,Avgusta Y. Shestyuk,Bradley Voytek +13 more
TL;DR: An algorithm to parameterize electrophysiological neural power spectra as a combination of an aperiodic component and putative periodic oscillatory peaks is introduced, addressing limitations of common approaches.
Journal ArticleDOI
Magnetoencephalography for brain electrophysiology and imaging
TL;DR: A review of magnetoencephalography (MEG) among the techniques available to explore and resolve brain function and dysfunction can be found in this paper, where the authors identify and discuss current practical challenges, in particular in signal extraction and interpretation.
References
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