MEG/EEG Source Reconstruction, Statistical Evaluation, and Visualization with NUTMEG
- Dalal, Sarang S. INSERM U1028, CNRS UMR5292, Lyon Neuroscience Research Center, Brain Dynamics and Cognition Team, 69500 Lyon, France
- Zumer, Johanna M. Sir Peter Mansfield Magnetic Resonance Centre, University of Nottingham, Nottingham NG7 2RD, UK
- Guggisberg, Adrian G. Division of Neurorehabilitation, Department of Clinical Neurosciences, University Hospital of Geneva, 1211 Geneva, Switzerland
- Trumpis, Michael Biomagnetic Imaging Laboratory, Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94143, USA
- Wong, Daniel D. E. Institute of Biomaterials and Biomedical Engineering, University of Toronto, Canada M5S 3G9
- Sekihara, Kensuke Department of Systems Design and Engineering, Tokyo Metropolitan University, Tokyo 191-0065, Japan
- Nagarajan, Srikantan S. Biomagnetic Imaging Laboratory, Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94143, USA
Published in:
- Computational Intelligence and Neuroscience. - Hindawi Limited. - 2011, vol. 2011, p. 1-17
English
NUTMEG is a source analysis toolbox geared towards cognitive neuroscience researchers using MEG and EEG, including intracranial recordings. Evoked and unaveraged data can be imported to the toolbox for source analysis in either the time or time-frequency domains. NUTMEG offers several variants of adaptive beamformers, probabilistic reconstruction algorithms, as well as minimum-norm techniques to generate functional maps of spatiotemporal neural source activity. Lead fields can be calculated from single and overlapping sphere head models or imported from other software. Group averages and statistics can be calculated as well. In addition to data analysis tools, NUTMEG provides a unique and intuitive graphical interface for visualization of results. Source analyses can be superimposed onto a structural MRI or headshape to provide a convenient visual correspondence to anatomy. These results can also be navigated interactively, with the spatial maps and source time series or spectrogram linked accordingly. Animations can be generated to view the evolution of neural activity over time. NUTMEG can also display brain renderings and perform spatial normalization of functional maps using SPM's engine. As a MATLAB package, the end user may easily link with other toolboxes or add customized functions.
- Language
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- English
- Open access status
- gold
- Identifiers
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- DOI 10.1155/2011/758973
- ISSN 1687-5265
- Persistent URL
- https://folia.unifr.ch/global/documents/253035
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