Classification images reveal the information sensitivity of brain voxels in fMRI

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

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Muckli, Professor Lars and Smith, Dr Margaret and Schyns, Professor Philippe and Cavanagh, Professor Jonathan and Brennan, Dr David and Hadley, Professor Donald and Smith, Dr Fraser
• Authors: Smith, F.W., Muckli, L., Brennan, D., Pernet, C., Smith, M., Belin, P., Gosselin, F., Hadley, D.M., Cavanagh, J., and Schyns, P.G.
• College/School: College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > Mental Health and Wellbeing; College of Medical Veterinary and Life Sciences > School of Medicine, Dentistry & Nursing > Clinical Specialities; College of Science and Engineering > School of Psychology; College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience
• Journal Name: NeuroImage