Online decoding of object-based attention using real-time fMRI

Niazi A.M., van den Broek P.L.C., Klanke S., Barth M., Poel M., Desain P. and van Gerven M.A.J. (2014) Online decoding of object-based attention using real-time fMRI. European Journal of Neuroscience, 39 2: 319-329. doi:10.1111/ejn.12405

Author Niazi A.M.
van den Broek P.L.C.
Klanke S.
Barth M.
Poel M.
Desain P.
van Gerven M.A.J.
Title Online decoding of object-based attention using real-time fMRI
Journal name European Journal of Neuroscience   Check publisher's open access policy
ISSN 0953-816X
Publication date 2014-01
Year available 2013
Sub-type Article (original research)
DOI 10.1111/ejn.12405
Open Access Status
Volume 39
Issue 2
Start page 319
End page 329
Total pages 11
Place of publication West Sussex United Kingdom
Publisher Wiley-Blackwell Publishing
Collection year 2015
Language eng
Abstract Visual attention is used to selectively filter relevant information depending on current task demands and goals. Visual attention is called object-based attention when it is directed to coherent forms or objects in the visual field. This study used real-time functional magnetic resonance imaging for moment-to-moment decoding of attention to spatially overlapped objects belonging to two different object categories. First, a whole-brain classifier was trained on pictures of faces and places. Subjects then saw transparently overlapped pictures of a face and a place, and attended to only one of them while ignoring the other. The category of the attended object, face or place, was decoded on a scan-by-scan basis using the previously trained decoder. The decoder performed at 77.6% accuracy indicating that despite competing bottom-up sensory input, object-based visual attention biased neural patterns towards that of the attended object. Furthermore, a comparison between different classification approaches indicated that the representation of faces and places is distributed rather than focal. This implies that real-time decoding of object-based attention requires a multivariate decoding approach that can detect these distributed patterns of cortical activity.
Keyword Categorization
Multivariate decoding
Object-based attention
Real-time fMRI
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Non HERDC
Centre for Advanced Imaging Publications
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