摘要：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.
