Brainstorm: A User-Friendly Application for MEG/EEG Analysis

By François Tadel, Sylvain Baillet, John C. Mosher, Dimitrios Pantazis, Richard M. Leahy. Computational Intelligence and Neuroscience, 2011

3,630 citations recorded by the source corpus.

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).

Subfields: Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/ce33a99a89d39fb9ebe59f435b9d577ca5609f4f

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In Cognitive Neuroscience

Citations in the corpus

EEG Source Imaging: A Practical Review of the Analysis Steps (2019, background): “A comprehensive overview of different academic software applications can be found in a special issue of the Journal Computational Intelligence and Neuroscience (30), where programs such as BrainStorm (31), EEGLAB (32), FieldTrip (33), NUTMEG (34), SPM (35), andCartool (29) are described.”
Parameterizing neural power spectra into periodic and aperiodic components (2020, methodology): “MEG data were preprocessed following best-practice guidelines 65 , using the Brainstorm software toolbox 66 .”
Mathematical framework for large-scale brain network modeling in The Virtual Brain (2015, neutral): “For the sake of completeness,we tested some of themesh simplification methods currently available in brainstorm (Tadel et al., 2011).”
The dynamics of invariant object recognition in the human visual system. (2014, methodology): “The MEG data were pre-processed using Brainstorm software (Tadel et al., 2011).”
Intracortical microstimulation of human somatosensory cortex (2016, methodology): “Source localization of the MEG data was performed using Brainstorm software (63) to map cutaneous-related activity on the participant’s cortical surface, which was reconstructed from a structural MRI of the brain.”
EEG Source Imaging Enhances the Decoding of Complex Right Hand Motor Imagery Tasks (2015, methodology): “The central frequency was chosen as 1 Hz, and the FWHM of the Gaussian kernel at the central frequency, FWHMfc , was chosen as 3 s [42].”
HERMES: Towards an Integrated Toolbox to Characterize Functional and Effective Brain Connectivity (2013, methodology): “In contrast to existing toolboxes (Delorme and Makeig 2004; Zhou et al. 2009; Seth 2010; Tadel et al. 2011), HERMES encompasses both linear and nonlinear indexes of functional and effective connectivity, visualization tools and two different types of statistical tests to address the multiple…”
MNE software for processing MEG and EEG data (2013, methodology): “Multiple academic software packages for M/EEG data processing exist, e.g., Brainstorm (Tadel et al., 2011), EEGLAB (Delorme and Makeig, 2004; Delorme et al., 2011), FieldTrip (Oostenveld et al., 2011), NutMeg (Dalal et al., 2011) and SPM (Litvak et al., 2011), all implemented in Matlab, with some de”
MEG and EEG data analysis with MNE-Python (2013, methodology): “Several of such software packages for M/EEG data processing exist, including Brainstorm (Tadel et al., 2011), EEGLAB [Delorme and Makeig (2004) and Delorme et al. (2011)], FieldTrip (Oostenveld et al., 2011), NutMeg (Dalal et al., 2011) and SPM (Litvak et al., 2011).”
Autoreject: Automated artifact rejection for MEG and EEG data (2016, methodology): “Luckily, popular software tools such as Brainstorm (Tadel et al., 2011), EEGLAB (Delorme and Makeig, 2004), FieldTrip (Oostenveld et al., 2011), MNE (Gramfort et al., 2013) or SPM (Litvak et al., 2011) already allow for the rejection of bad data segments based on simple metrics such as peak-to-peak ”
Brain templates and atlases (2012, methodology): “…the high definition proved too attractive to the community and, after non-linear mapping to fit the MNI305 space, it has been adopted by many groups as a stereotaxic template (e.g., AFNI, Cox, in press; Brainstorm, Tadel et al., 2011; SPM, Litvak et al., 2011; Fieldtrip, Oostenveld et al., 2011).”
Transcranial magnetic stimulation of the precuneus enhances memory and neural activity in prodromal Alzheimer's disease (2018, methodology): “Briefly, using BrainStorm software we estimated the activity of the dipoles underlying the brain electrical activity, by means of the ICBM152 template (Tadel et al., 2011).”
neuromaps: structural and functional interpretation of brain maps (2022, background): “Collectively, these maps represent more than a decade of human brain mapping research and encompass phenotypes including: the first principal component of gene expression [33], 36 neurotransmitter receptor PET tracer images [32], glucose and oxygen metabolism [72], cerebral blood flow and volume [72”