Cortical depth dependent population receptive field attraction by spatial attention in human V1

Publication date

2018-08-01

Authors

Klein, B.P.ISNI 0000000419569678
Fracasso, Alessio
van Dijk, Jelle AlwinISNI 0000000493300968
Paffen, ChrisISNI 0000000391034179
Te Pas, S.F.ISNI 0000000392260792
Dumoulin, Serge O.ISNI 0000000419438328

Editors

Advisors

Supervisors

Document Type

Article
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License

cc_by_nc_nd

Abstract

Visual spatial attention concentrates neural resources at the attended location. Recently, we demonstrated that voluntary spatial attention attracts population receptive fields (pRFs) toward its location throughout the visual hierarchy. Theoretically, both a feed forward or feedback mechanism could underlie pRF attraction in a given cortical area. Here, we use sub-millimeter ultra-high field functional MRI to measure pRF attraction across cortical depth and assess the contribution of feed forward and feedback signals to pRF attraction. In line with previous findings, we find consistent attraction of pRFs with voluntary spatial attention in V1. When assessed as a function of cortical depth, we find pRF attraction in every cortical portion (deep, center and superficial), although the attraction is strongest in deep cortical portions (near the gray-white matter boundary). Following the organization of feed forward and feedback processing across V1, we speculate that a mixture of feed forward and feedback processing underlies pRF attraction in V1. Specifically, we propose that feedback processing contributes to the pRF attraction in deep cortical portions.

Keywords

Attention field, Population receptive field, Receptive field attraction, Spatial attention, Sub-millimeter fMRI, Visual cortex, Neurology, Cognitive Neuroscience

Citation

Klein, B P, Fracasso, A, van Dijk, J A, Paffen, C L E, te Pas, S F & Dumoulin, S O 2018, 'Cortical depth dependent population receptive field attraction by spatial attention in human V1', NeuroImage, vol. 176, pp. 301-312. https://doi.org/10.1016/j.neuroimage.2018.04.055