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  MEG-based decoding of the spatiotemporal dynamics of visual category perception

van de Nieuwenhuijzen, M. E., Backus, A. R., Bahramisharif, A., Doeller, C. F., Jensen, O., & Van Gerven, M. A. J. (2013). MEG-based decoding of the spatiotemporal dynamics of visual category perception. NeuroImage, 83, 1063-1073. doi:10.1016/j.neuroimage.2013.07.075.

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Genre: Journal Article

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 Creators:
van de Nieuwenhuijzen, M. E.1, Author
Backus, A. R.1, Author
Bahramisharif, A.1, Author
Doeller, Christian F.1, Author              
Jensen, O.1, Author
Van Gerven, M. A. J.1, Author
Affiliations:
1Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands, ou_persistent22              

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Free keywords: Spatiotemporal dynamics; Multivariate analysis; Perception; MEG
 Abstract: Visual processing is a complex task which is best investigated using sensitive multivariate analysis methods that can capture representation-specific brain activity over both time and space. In this study, we applied a multivariate decoding algorithm to MEG data of subjects engaged in passive viewing of images of faces, scenes, bodies and tools. We used reconstructed source-space time courses as input to the algorithm in order to localize brain regions involved in optimal image discrimination. Applying this method to the interval of 115 to 315 ms after stimulus onset, we show a focal localization of regression coefficients in the inferior occipital, middle occipital, and lingual gyrus that drive decoding of the different perceived image categories. Classifier accuracy was highest (over 90% correctly classified trials, compared to a chance level accuracy of 50%) when dissociating the perception of faces from perception of other object categories. Furthermore, we applied this method to each single time point to extract the temporal evolution of visual perception. This allowed for the detection of differences in visual category perception as early as 85 ms after stimulus onset. Furthermore, localizing the corresponding regression coefficients of each time point allowed us to capture the spatiotemporal dynamics of visual category perception. This revealed initial involvement of sources in the inferior occipital, inferior temporal and superior occipital gyrus. During sustained stimulation additional sources in the anterior inferior temporal gyrus and superior parietal gyrus became involved. We conclude that decoding of source-space MEG data provides a suitable method to investigate the spatiotemporal dynamics of ongoing cognitive processing.

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Language(s): eng - English
 Dates: 2013-07-252013-08-062013-12
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.neuroimage.2013.07.075
PMID: 23927900
Other: Epub 2013
 Degree: -

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Title: NeuroImage
Source Genre: Journal
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Affiliations:
Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 83 Sequence Number: - Start / End Page: 1063 - 1073 Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166