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Neuroimage. 2013 Feb 1;66:376-84. doi: 10.1016/j.neuroimage.2012.10.037. Epub 2012 Oct 27.

Connective field modeling.

Author information

1
Laboratory for Experimental Ophthalmology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; BCN Neuroimaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Department of Psychology, University of Minnesota, Minneapolis, MN, United States. Electronic address: koenhaak@gmail.com.
2
Department of Psychology, Stanford University, Stanford, CA, United States.
3
Helmholtz Institute, Experimental Psychology, Utrecht University, Utrecht, The Netherlands.
4
BCN Neuroimaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
5
Laboratory for Experimental Ophthalmology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; BCN Neuroimaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.

Abstract

The traditional way to study the properties of visual neurons is to measure their responses to visually presented stimuli. A second way to understand visual neurons is to characterize their responses in terms of activity elsewhere in the brain. Understanding the relationships between responses in distinct locations in the visual system is essential to clarify this network of cortical signaling pathways. Here, we describe and validate connective field modeling, a model-based analysis for estimating the dependence between signals in distinct cortical regions using functional magnetic resonance imaging (fMRI). Just as the receptive field of a visual neuron predicts its response as a function of stimulus position, the connective field of a neuron predicts its response as a function of activity in another part of the brain. Connective field modeling opens up a wide range of research opportunities to study information processing in the visual system and other topographically organized cortices.

KEYWORDS:

Connective field; Functional connectivity; Population receptive field; Visual cortex; fMRI

PMID:
23110879
PMCID:
PMC3769486
DOI:
10.1016/j.neuroimage.2012.10.037
[Indexed for MEDLINE]
Free PMC Article

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