Journal ArticleDOI
Interpreting magnetic fields of the brain: minimum norm estimates
TLDR
In this procedure, essentially nothing is assumed about the source currents, except that they are spatially restricted to a certain region, and the results can describe the structure of the current flow fairly well.Abstract:
The authors have applied estimation theory to the problem of determining primary current distributions from measured neuromagnetic fields. In this procedure, essentially nothing is assumed about the source currents, except that they are spatially restricted to a certain region. Simulation experiments show that the results can describe the structure of the current flow fairly well. By increasing the number of measurements, the estimate can be made more localised. The current distributions may be also used as an interpolation and an extrapolation for the measured field patterns.read more
Citations
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FieldTrip: open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data
TL;DR: FieldTrip is an open source software package that is implemented as a MATLAB toolbox and includes a complete set of consistent and user-friendly high-level functions that allow experimental neuroscientists to analyze experimental data.
Journal ArticleDOI
Brainstorm: a user-friendly application for MEG/EEG analysis
TL;DR: 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.
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
EEG source imaging
Christoph M. Michel,Micah M. Murray,Göran Lantz,Sara L. Gonzalez,Laurent Spinelli,Rolando Grave de Peralta +5 more
TL;DR: It is shown that modern EEG source imaging simultaneously details the temporal and spatial dimensions of brain activity, making it an important and affordable tool to study the properties of cerebral, neural networks in cognitive and clinical neurosciences.
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.
References
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Magnetoencephalography—theory, instrumentation, and applications to noninvasive studies of the working human brain
TL;DR: The mathematical theory of the method is explained in detail, followed by a thorough description of MEG instrumentation, data analysis, and practical construction of multi-SQUID devices.
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Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter
TL;DR: The generalized cross-validation (GCV) method as discussed by the authors is a generalized version of Allen's PRESS, which can be used in subset selection and singular value truncation, and even to choose from among mixtures of these methods.
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Basic mathematical and electromagnetic concepts of the biomagnetic inverse problem
TL;DR: Basic mathematical and physical concepts of the biomagnetic inverse problem are reviewed with some new approaches and a weighted least-squares search with confidence limits and the method of minimum norm estimate are discussed.
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Drawing Contours from Arbitrary Data Points
TL;DR: This paper describes a computer method for drawing, on an incremental plotter, a set of contours when the height is available only for some arbitrary collection of points, based on a distance-weighted, least-squares approximation technique, suitable not only for mathematically derived data, but also for data of geographical and other non-mathematical origins.
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Continuous probabilistic solutions to the biomagnetic inverse problem
TL;DR: In this article, a general method for obtaining continuous solutions to the biomagnetic inverse problem is outlined and illustrated with a wide range of test cases, in a variety of experimental geometries.