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Brainstorm: a user-friendly application for MEG/EEG analysis.

Tadel F, Baillet S, Mosher JC, Pantazis D, Leahy RM - Comput Intell Neurosci (2011)

Bottom Line: 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).

View Article: PubMed Central - PubMed

Affiliation: Signal & Image Processing Institute, University of Southern California, Los Angeles, CA 90089, USA. tadel@usc.edu

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).

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Cortical activations 46 ms after the electric stimulation of the left median nerve on the subject's brain (a) and their projection in the MNI brain (b).
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fig16: Cortical activations 46 ms after the electric stimulation of the left median nerve on the subject's brain (a) and their projection in the MNI brain (b).

Mentions: In order to compare multiple subjects at the source level, an intermediate step is required if the sources were originally mapped on the individual subject anatomies. The sources estimated on individual brains are first projected on the cortical surface of the MNI-Colin27 brain. In the current implementation, the surface-to-surface registration is performed hemisphere by hemisphere using the following procedure: (1) alignment along the anterior commissure/posterior commissure axis, (2) spatial smoothing to preserve only the main features of the surfaces onto which the registration will be performed, (3) deformation of the individual surface to match the MNI surface with an iterative closest point algorithm (ICP) [60], and (4) interpolation of the source amplitudes using Shepard's method [61]. Figure 16 shows the sources on the individual anatomy (left), and its reprojection on the MNI brain (right). This simple approach will eventually be replaced by cortical surface registration and surface-constrained volume registration methods developed at the University of Southern California as described in [62]. We will also add functionality to use the common coordinate system used in FreeSurfer for intersubject surface registration.


Brainstorm: a user-friendly application for MEG/EEG analysis.

Tadel F, Baillet S, Mosher JC, Pantazis D, Leahy RM - Comput Intell Neurosci (2011)

Cortical activations 46 ms after the electric stimulation of the left median nerve on the subject's brain (a) and their projection in the MNI brain (b).
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3090754&req=5

fig16: Cortical activations 46 ms after the electric stimulation of the left median nerve on the subject's brain (a) and their projection in the MNI brain (b).
Mentions: In order to compare multiple subjects at the source level, an intermediate step is required if the sources were originally mapped on the individual subject anatomies. The sources estimated on individual brains are first projected on the cortical surface of the MNI-Colin27 brain. In the current implementation, the surface-to-surface registration is performed hemisphere by hemisphere using the following procedure: (1) alignment along the anterior commissure/posterior commissure axis, (2) spatial smoothing to preserve only the main features of the surfaces onto which the registration will be performed, (3) deformation of the individual surface to match the MNI surface with an iterative closest point algorithm (ICP) [60], and (4) interpolation of the source amplitudes using Shepard's method [61]. Figure 16 shows the sources on the individual anatomy (left), and its reprojection on the MNI brain (right). This simple approach will eventually be replaced by cortical surface registration and surface-constrained volume registration methods developed at the University of Southern California as described in [62]. We will also add functionality to use the common coordinate system used in FreeSurfer for intersubject surface registration.

Bottom Line: 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).

View Article: PubMed Central - PubMed

Affiliation: Signal & Image Processing Institute, University of Southern California, Los Angeles, CA 90089, USA. tadel@usc.edu

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).

Show MeSH