Widespread correlation patterns of fMRI signal across visual cortex reflect eccentricity organization

Author:

Arcaro Michael J12,Honey Christopher J3,Mruczek Ryan EB4,Kastner Sabine12,Hasson Uri12

Affiliation:

1. Princeton Neuroscience Institute, Princeton University, Princeton, United States

2. Department of Psychology, Princeton University, Princeton, United States

3. Department of Psychology, University of Toronto, Toronto, Canada

4. Department of Psychology, Worcester State University, Worcester, United States

Abstract

The human visual system can be divided into over two-dozen distinct areas, each of which contains a topographic map of the visual field. A fundamental question in vision neuroscience is how the visual system integrates information from the environment across different areas. Using neuroimaging, we investigated the spatial pattern of correlated BOLD signal across eight visual areas on data collected during rest conditions and during naturalistic movie viewing. The correlation pattern between areas reflected the underlying receptive field organization with higher correlations between cortical sites containing overlapping representations of visual space. In addition, the correlation pattern reflected the underlying widespread eccentricity organization of visual cortex, in which the highest correlations were observed for cortical sites with iso-eccentricity representations including regions with non-overlapping representations of visual space. This eccentricity-based correlation pattern appears to be part of an intrinsic functional architecture that supports the integration of information across functionally specialized visual areas.

Funder

National Science Foundation (NSF)

National Institute of Mental Health (NIMH)

National Institute of Neurological Disorders and Stroke (NINDS)

National Eye Institute (NEI)

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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