Literature DB >> 24531052

Intersubject consistency of cortical MEG signals during movie viewing.

K Lankinen1, J Saari2, R Hari2, M Koskinen2.   

Abstract

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.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Magnetoencephalography (MEG); Minimum norm estimate (MNE); Movie; Multi-set canonical correlation analysis (M-CCA); Spatial filtering

Mesh:

Year:  2014        PMID: 24531052     DOI: 10.1016/j.neuroimage.2014.02.004

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  24 in total

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Review 2.  IFCN-endorsed practical guidelines for clinical magnetoencephalography (MEG).

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Authors:  Stefan Haufe; Paul DeGuzman; Simon Henin; Michael Arcaro; Christopher J Honey; Uri Hasson; Lucas C Parra
Journal:  Neuroimage       Date:  2018-06-15       Impact factor: 6.556

Review 4.  Data-driven approaches in the investigation of social perception.

Authors:  Ralph Adolphs; Lauri Nummenmaa; Alexander Todorov; James V Haxby
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Journal:  PLoS One       Date:  2015-06-01       Impact factor: 3.240

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Review 7.  The brain timewise: how timing shapes and supports brain function.

Authors:  Riitta Hari; Lauri Parkkonen
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-05-19       Impact factor: 6.237

8.  Infra-slow brain dynamics as a marker for cognitive function and decline.

Authors:  Shagun Ajmera; Shreya Rajagopal; Razi Ur Rehman; Devarajan Sridharan
Journal:  Adv Neural Inf Process Syst       Date:  2019

9.  Watching Movies Unfold, a Frame-by-Frame Analysis of the Associated Neural Dynamics.

Authors:  Anna M Monk; Daniel N Barry; Vladimir Litvak; Gareth R Barnes; Eleanor A Maguire
Journal:  eNeuro       Date:  2021-07-09

10.  Decreased intersubject synchrony in dynamic valence ratings of sad movie contents in dysphoric individuals.

Authors:  Xueqiao Li; Yongjie Zhu; Elisa Vuoriainen; Chaoxiong Ye; Piia Astikainen
Journal:  Sci Rep       Date:  2021-07-13       Impact factor: 4.379

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