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  Human visual and parietal cortex encode visual choices independent of motor plans

Hebart, M. N., Donner, T. H., & Haynes, J.-D. (2012). Human visual and parietal cortex encode visual choices independent of motor plans. NeuroImage, 63(3), 1393-1403. doi:10.1016/j.neuroimage.2012.08.027.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-000E-B5FC-5 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-3901-A
Genre: Journal Article

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 Creators:
Hebart, Martin N.1, 2, 3, Author              
Donner, Tobias H.4, Author
Haynes, John-Dylan1, 2, 3, 5, Author              
Affiliations:
1Bernstein Center for Computational Neuroscience, Charité Universitätsmedizin, Berlin, Germany, ou_persistent22              
2Berlin Center for Advanced Neuroimaging, Charité Universitätsmedizin, Berlin, Germany, ou_persistent22              
3Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Germany, ou_persistent22              
4Department of Psychology, University of Amsterdam, The Netherlands, ou_persistent22              
5MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_634548              

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Free keywords: Decision-making; Motion perception; Signal detection theory; Decoding; Multivoxel pattern analysis; fMRI
 Abstract: Perceptual decision-making entails the transformation of graded sensory signals into categorical judgments. Often, there is a direct mapping between these judgments and specific motor responses. However, when stimulus–response mappings are fixed, neural activity underlying decision-making cannot be separated from neural activity reflecting motor planning. Several human neuroimaging studies have reported changes in brain activity associated with perceptual decisions. Nevertheless, to date it has remained unknown where and how specific choices are encoded in the human brain when motor planning is decoupled from the decision process. We addressed this question by having subjects judge the direction of motion of dynamic random dot patterns at various levels of motion strength while measuring their brain activity with fMRI. We used multivariate decoding analyses to search the whole brain for patterns of brain activity encoding subjects' choices. To decouple the decision process from motor planning, subjects were informed about the required motor response only after stimulus presentation. Patterns of fMRI signals in early visual and inferior parietal cortex predicted subjects' perceptual choices irrespective of motor planning. This was true across several levels of motion strength and even in the absence of any coherent stimulus motion. We also found that the cortical distribution of choice-selective brain signals depended on stimulus strength: While visual cortex carried most choice-selective information for strong motion, information in parietal cortex decreased with increasing motion coherence. These results demonstrate that human visual and inferior parietal cortex carry information about the visual decision in a more abstract format than can be explained by simple motor intentions. Both brain regions may be differentially involved in perceptual decision-making in the face of strong and weak sensory evidence.

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Language(s): eng - English
 Dates: 2012-08-052012-08-152012-11-15
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1016/j.neuroimage.2012.08.027
PMID: 22922368
Other: Epub 2012
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Title: NeuroImage
Source Genre: Journal
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Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 63 (3) Sequence Number: - Start / End Page: 1393 - 1403 Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166