Multivariate pattern analysis (MVPA) of the pre-stimulus EEG oscillations indicated above - chance performance at identifying the targeted class of items.
Increased computational power now allows investigation of the whole - brain correlation matrix, the temporal correlation of every voxel with every other voxel throughout the brain, and the application of
multivariate pattern analysis to these correlational data.
For the study, published in the journal Nature Communications, the researchers used a technique recently borrowed from the computer science field by neuroscientists —
multivariate pattern analysis — to examine brain scans that were taken while people looked at a picture of someone who had rejected them.
A growing number of studies apply
multivariate pattern analyses of MEG and EEG data to understand human object processing, but it is still an open question to what extent MEG and EEG capture common or unique aspects of visual representations.
Not exact matches
Using
multivariate analysis, the researchers studied the activation
patterns of the voxels.
Multivariate analysis was used to identify the
pattern of chemical abnormalities in CFS compared with healthy controls.
We then used
multivariate selection
analyses to identify
patterns of linear and non-linear sexual selection on multiple sperm morphology and motility traits.
However, similar
patterns were repeated in the
multivariate analysis designed to account for such factors.
A
multivariate statistical technique called Multi-channel Singular Spectrum
Analysis (MSSA) was used to identify
patterns of variability shared by all indices analyzed, which characterizes the «stadium wave.»
A
multivariate analysis of variance (MANOVA) then examined possible gender differences and also explored whether the two genders displayed different
patterns of correlation among these measures.