Lankinen K, Saari J, Hari R, Koskinen M
Brain Research Unit, O.V. Lounasmaa Laboratory and MEG Core, Aalto NeuroImaging, School of Science, Aalto University, P.O. Box 15100, FI-00076 AALTO, Finland.
Brain Research Unit, O.V. Lounasmaa Laboratory and MEG Core, Aalto NeuroImaging, School of Science, Aalto University, P.O. Box 15100, FI-00076 AALTO, Finland.
Neuroimage. 2014 May 15;92:217-24. doi: 10.1016/j.neuroimage.2014.02.004. Epub 2014 Feb 12.
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 10 Hz; the maximum correlation was 0.28 ± 0.075 in the ≤1 Hz 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.
根据最近的功能磁共振成像(fMRI)研究,电影观众的大脑活动可能具有相似的时空模式。我们旨在将这些受试者间相关性的研究结果扩展到时间精确的单次试验脑磁图(MEG)。向8名受试者播放了一部15分钟的无声黑白电影,播放了两次。我们采用了一种空间滤波模型,并通过多组典型相关分析(M-CCA)估计其参数值,以使受试者间的相关性最大化。该过程产生了多个(相互不相关的)时间序列,在低于10Hz的频率下具有统计学显著的受试者间相关性;在≤1Hz频段,最大相关性为0.28±0.075。此外,24Hz的帧率引发了稳态反应,受试者间的相关性高达0.29±0.12,具有统计学显著性。为了评估跨受试者相关信号的大脑起源,将时间序列与投射到皮层的最小范数源电流估计(MNEs)进行相关性分析。时间序列表明,早期视觉、顶叶后部和下部、颞枕外侧和运动皮层以及双侧颞上沟(STS)存在跨受试者同步活动。这些发现证明了所提出的方法能够从电影观众一致的单次试验信号中揭示皮层MEG特征。