Classification images reveal the information sensitivity of brain voxels in fMRI

Smith, F.W. and Muckli, L. and Brennan, D. and Pernet, C. and Smith, Marie L. and Belin, P. and Gosselin, F. and Hadley, D. and Cavanagh, J. and Schyns, P.G. (2008) Classification images reveal the information sensitivity of brain voxels in fMRI. NeuroImage 40 (4), pp. 1643-1654. ISSN 1053-8119.

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Official URL: http://dx.doi.org/10.1016/j.neuroimage.2008.01.029

Abstract

Reverse correlation methods have been widely used in neuroscience for many years and have recently been applied to study the sensitivity of human brain signals (EEG, MEG) to complex visual stimuli. Here we employ one such method, Bubbles (Gosselin, F., Schyns, P.G., 2001. Bubbles: A technique to reveal the use of information in recognition tasks. Vis. Res. 41, 2261–2271), in conjunction with fMRI in the context of a 3AFC facial expression categorization task. We highlight the regions of the brain showing significant sensitivity with respect to the critical visual information required to perform the categorization judgments. Moreover, we reveal the actual subset of visual information which modulates BOLD sensitivity within each such brain region. Finally, we show the potential which lies within analyzing brain function in terms of the information states of different brain regions. Thus, we can now analyse human brain function in terms of the specific visual information different brain regions process.

Metadata

Item Type:	Article
School:	Birkbeck Faculties and Schools > Faculty of Science > School of Psychological Sciences
Depositing User:	Sarah Hall
Date Deposited:	10 Dec 2015 13:59
Last Modified:	02 Aug 2023 17:20
URI:	https://eprints.bbk.ac.uk/id/eprint/13740

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