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Effective connectivity during animacy perception – dynamic causal modelling of Human Connectome Project data

Biological agents are the most complex systems humans have to model and predict. In predictive coding, high-level cortical areas inform sensory cortex about incoming sensory signals, a comparison between the predicted and actual sensory feedback is made, and information about unpredicted sensory inf...

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Autores principales: Hillebrandt, Hauke, Friston, Karl J., Blakemore, Sarah-Jayne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4150124/
https://www.ncbi.nlm.nih.gov/pubmed/25174814
http://dx.doi.org/10.1038/srep06240
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author Hillebrandt, Hauke
Friston, Karl J.
Blakemore, Sarah-Jayne
author_facet Hillebrandt, Hauke
Friston, Karl J.
Blakemore, Sarah-Jayne
author_sort Hillebrandt, Hauke
collection PubMed
description Biological agents are the most complex systems humans have to model and predict. In predictive coding, high-level cortical areas inform sensory cortex about incoming sensory signals, a comparison between the predicted and actual sensory feedback is made, and information about unpredicted sensory information is passed forward to higher-level areas. Predictions about animate motion – relative to inanimate motion – should result in prediction error and increase signal passing from lower level sensory area MT+/V5, which is responsive to all motion, to higher-order posterior superior temporal sulcus (pSTS), which is selectively activated by animate motion. We tested this hypothesis by investigating effective connectivity in a large-scale fMRI dataset from the Human Connectome Project. 132 participants viewed animations of triangles that were designed to move in a way that appeared animate (moving intentionally), or inanimate (moving in a mechanical way). We found that forward connectivity from V5 to the pSTS increased, and inhibitory self-connection in the pSTS decreased, when viewing intentional motion versus inanimate motion. These prediction errors associated with animate motion may be the cause for increased attention to animate stimuli found in previous studies.
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spelling pubmed-41501242014-09-02 Effective connectivity during animacy perception – dynamic causal modelling of Human Connectome Project data Hillebrandt, Hauke Friston, Karl J. Blakemore, Sarah-Jayne Sci Rep Article Biological agents are the most complex systems humans have to model and predict. In predictive coding, high-level cortical areas inform sensory cortex about incoming sensory signals, a comparison between the predicted and actual sensory feedback is made, and information about unpredicted sensory information is passed forward to higher-level areas. Predictions about animate motion – relative to inanimate motion – should result in prediction error and increase signal passing from lower level sensory area MT+/V5, which is responsive to all motion, to higher-order posterior superior temporal sulcus (pSTS), which is selectively activated by animate motion. We tested this hypothesis by investigating effective connectivity in a large-scale fMRI dataset from the Human Connectome Project. 132 participants viewed animations of triangles that were designed to move in a way that appeared animate (moving intentionally), or inanimate (moving in a mechanical way). We found that forward connectivity from V5 to the pSTS increased, and inhibitory self-connection in the pSTS decreased, when viewing intentional motion versus inanimate motion. These prediction errors associated with animate motion may be the cause for increased attention to animate stimuli found in previous studies. Nature Publishing Group 2014-09-01 /pmc/articles/PMC4150124/ /pubmed/25174814 http://dx.doi.org/10.1038/srep06240 Text en Copyright © 2014, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Hillebrandt, Hauke
Friston, Karl J.
Blakemore, Sarah-Jayne
Effective connectivity during animacy perception – dynamic causal modelling of Human Connectome Project data
title Effective connectivity during animacy perception – dynamic causal modelling of Human Connectome Project data
title_full Effective connectivity during animacy perception – dynamic causal modelling of Human Connectome Project data
title_fullStr Effective connectivity during animacy perception – dynamic causal modelling of Human Connectome Project data
title_full_unstemmed Effective connectivity during animacy perception – dynamic causal modelling of Human Connectome Project data
title_short Effective connectivity during animacy perception – dynamic causal modelling of Human Connectome Project data
title_sort effective connectivity during animacy perception – dynamic causal modelling of human connectome project data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4150124/
https://www.ncbi.nlm.nih.gov/pubmed/25174814
http://dx.doi.org/10.1038/srep06240
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