Intersubject consistency of cortical MEG signals during movie viewing

According to recent functional magnetic resonance imaging (fMRI) studies, spectators of a movie may share similar spatiotemporal patterns of brain activity. We aimed to extend these findings of intersubject correlation to temporally accurate single-trial magnetoencephalography (MEG). A silent 15-min...

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Veröffentlicht in:NeuroImage (Orlando, Fla.) Fla.), 2014-05, Vol.92, p.217-224
Hauptverfasser: Lankinen, K., Saari, J., Hari, R., Koskinen, M.
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Sprache:eng
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Zusammenfassung:According to recent functional magnetic resonance imaging (fMRI) studies, spectators of a movie may share similar spatiotemporal patterns of brain activity. We aimed to extend these findings of intersubject correlation to temporally accurate single-trial magnetoencephalography (MEG). A silent 15-min black-and-white movie was shown to eight subjects twice. We adopted a spatial filtering model and estimated its parameter values by using multi-set canonical correlation analysis (M-CCA) so that the intersubject correlation was maximized. The procedure resulted in multiple (mutually uncorrelated) time-courses with statistically significant intersubject correlations at frequencies below 10Hz; the maximum correlation was 0.28±0.075 in the ≤1Hz band. Moreover, the 24-Hz frame rate elicited steady-state responses with statistically significant intersubject correlations up to 0.29±0.12. To assess the brain origin of the across-subjects correlated signals, the time-courses were correlated with minimum-norm source current estimates (MNEs) projected to the cortex. The time series implied across-subjects synchronous activity in the early visual, posterior and inferior parietal, lateral temporo-occipital, and motor cortices, and in the superior temporal sulcus (STS) bilaterally. These findings demonstrate the capability of the proposed methodology to uncover cortical MEG signatures from single-trial signals that are consistent across spectators of a movie. •Intersubject synchronization during movie viewing was studied with MEG.•Correlations were computed by multi-set canonical correlation analysis (M-CCA).•Time courses correlated between subjects at
ISSN:1053-8119
1095-9572
DOI:10.1016/j.neuroimage.2014.02.004