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Vol. 96, Issue 16, 9379-9384, August 3, 1999 (face perception / functional MRI / object recognition)
Laboratory of Brain and Cognition, National Institute of Mental
Health, National Institutes of Health, Bethesda, MD 20892-1366
Communicated by Larry R. Squire, University of California, San
Diego, CA, June 7, 1999 (received for review March 23, 1999)
Brain imaging and electrophysiological recording studies in humans
have reported discrete cortical regions in posterior ventral temporal
cortex that respond preferentially to faces, buildings, and letters.
These findings suggest a category-specific anatomically segregated
modular organization of the object vision pathway. Here we present data
from a functional MRI study in which we found three distinct regions of
ventral temporal cortex that responded preferentially to faces and two
categories of other objects, namely houses and chairs, and had a highly
consistent topological arrangement. Although the data could be
interpreted as evidence for separate modules, we found that each
category also evoked significant responses in the regions that
responded maximally to other stimuli. Moreover, each category was
associated with its own differential pattern of response across ventral
temporal cortex. These results indicate that the representation of an
object is not restricted to a region that responds maximally to that
object, but rather is distributed across a broader expanse of cortex.
We propose that the functional architecture of the ventral visual
pathway is not a mosaic of category-specific modules but instead is a
continuous representation of information about object form that has a
highly consistent and orderly topological arrangement.
Copyright © 1999 by The National Academy of Sciences 0027-8424/99/969379-6$2.00/0
Neurobiology
Distributed representation of objects in the human ventral
visual pathway
*
To whom reprint requests should be addressed at: National
Institute of Mental Health, Building 10, Room 4C104, MSC-1366, National Institutes of Health Bethesda, MD 20892-1366. E-mail:
alumit{at}ln.nimh.nih.gov.
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