TY - JOUR
T1 - Classification images reveal the information sensitivity of brain voxels in fMRI
AU - Smith, Fraser W.
AU - Muckli, Lars
AU - Brennan, David
AU - Pernet, Cyril
AU - Smith, Marie L.
AU - Belin, Pascal
AU - Gosselin, Frederic
AU - Hadley, Donald M.
AU - Cavanagh, Jonathan
AU - Schyns, Philippe G.
PY - 2008/5/1
Y1 - 2008/5/1
N2 - 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.
AB - 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.
UR - http://europepmc.org/abstract/med/18342542
U2 - 10.1016/j.neuroimage.2008.01.029
DO - 10.1016/j.neuroimage.2008.01.029
M3 - Article
C2 - 18342542
VL - 40
SP - 1643
EP - 1654
JO - NeuroImage
JF - NeuroImage
SN - 1053-8119
IS - 4
ER -