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MEG/EEG Source Reconstruction, Statistical Evaluation, and Visualization with NUTMEG

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 ad...

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Detalles Bibliográficos
Autores principales: Dalal, Sarang S., Zumer, Johanna M., Guggisberg, Adrian G., Trumpis, Michael, Wong, Daniel D. E., Sekihara, Kensuke, Nagarajan, Srikantan S.
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3061455/
https://www.ncbi.nlm.nih.gov/pubmed/21437174
http://dx.doi.org/10.1155/2011/758973
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author Dalal, Sarang S.
Zumer, Johanna M.
Guggisberg, Adrian G.
Trumpis, Michael
Wong, Daniel D. E.
Sekihara, Kensuke
Nagarajan, Srikantan S.
author_facet Dalal, Sarang S.
Zumer, Johanna M.
Guggisberg, Adrian G.
Trumpis, Michael
Wong, Daniel D. E.
Sekihara, Kensuke
Nagarajan, Srikantan S.
author_sort Dalal, Sarang S.
collection PubMed
description 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.
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spelling pubmed-30614552011-03-24 MEG/EEG Source Reconstruction, Statistical Evaluation, and Visualization with NUTMEG Dalal, Sarang S. Zumer, Johanna M. Guggisberg, Adrian G. Trumpis, Michael Wong, Daniel D. E. Sekihara, Kensuke Nagarajan, Srikantan S. Comput Intell Neurosci Research Article 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. Hindawi Publishing Corporation 2011 2011-03-15 /pmc/articles/PMC3061455/ /pubmed/21437174 http://dx.doi.org/10.1155/2011/758973 Text en Copyright © 2011 Sarang S. Dalal et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Dalal, Sarang S.
Zumer, Johanna M.
Guggisberg, Adrian G.
Trumpis, Michael
Wong, Daniel D. E.
Sekihara, Kensuke
Nagarajan, Srikantan S.
MEG/EEG Source Reconstruction, Statistical Evaluation, and Visualization with NUTMEG
title MEG/EEG Source Reconstruction, Statistical Evaluation, and Visualization with NUTMEG
title_full MEG/EEG Source Reconstruction, Statistical Evaluation, and Visualization with NUTMEG
title_fullStr MEG/EEG Source Reconstruction, Statistical Evaluation, and Visualization with NUTMEG
title_full_unstemmed MEG/EEG Source Reconstruction, Statistical Evaluation, and Visualization with NUTMEG
title_short MEG/EEG Source Reconstruction, Statistical Evaluation, and Visualization with NUTMEG
title_sort meg/eeg source reconstruction, statistical evaluation, and visualization with nutmeg
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3061455/
https://www.ncbi.nlm.nih.gov/pubmed/21437174
http://dx.doi.org/10.1155/2011/758973
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