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TMS Over V5 Disrupts Motion Prediction
Given the vast amount of sensory information the brain has to deal with, predicting some of this information based on the current context is a resource-efficient strategy. The framework of predictive coding states that higher-level brain areas generate a predictive model to be communicated via feedb...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4380002/ https://www.ncbi.nlm.nih.gov/pubmed/24152544 http://dx.doi.org/10.1093/cercor/bht297 |
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author | Vetter, Petra Grosbras, Marie-Helene Muckli, Lars |
author_facet | Vetter, Petra Grosbras, Marie-Helene Muckli, Lars |
author_sort | Vetter, Petra |
collection | PubMed |
description | Given the vast amount of sensory information the brain has to deal with, predicting some of this information based on the current context is a resource-efficient strategy. The framework of predictive coding states that higher-level brain areas generate a predictive model to be communicated via feedback connections to early sensory areas. Here, we directly tested the necessity of a higher-level visual area, V5, in this predictive processing in the context of an apparent motion paradigm. We flashed targets on the apparent motion trace in-time or out-of-time with the predicted illusory motion token. As in previous studies, we found that predictable in-time targets were better detected than unpredictable out-of-time targets. However, when we applied functional magnetic resonance imaging-guided, double-pulse transcranial magnetic stimulation (TMS) over left V5 at 13–53 ms before target onset, the detection advantage of in-time targets was eliminated; this was not the case when TMS was applied over the vertex. Our results are causal evidence that V5 is necessary for a prediction effect, which has been shown to modulate V1 activity (Alink et al. 2010). Thus, our findings suggest that information processing between V5 and V1 is crucial for visual motion prediction, providing experimental support for the predictive coding framework. |
format | Online Article Text |
id | pubmed-4380002 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-43800022015-04-15 TMS Over V5 Disrupts Motion Prediction Vetter, Petra Grosbras, Marie-Helene Muckli, Lars Cereb Cortex Articles Given the vast amount of sensory information the brain has to deal with, predicting some of this information based on the current context is a resource-efficient strategy. The framework of predictive coding states that higher-level brain areas generate a predictive model to be communicated via feedback connections to early sensory areas. Here, we directly tested the necessity of a higher-level visual area, V5, in this predictive processing in the context of an apparent motion paradigm. We flashed targets on the apparent motion trace in-time or out-of-time with the predicted illusory motion token. As in previous studies, we found that predictable in-time targets were better detected than unpredictable out-of-time targets. However, when we applied functional magnetic resonance imaging-guided, double-pulse transcranial magnetic stimulation (TMS) over left V5 at 13–53 ms before target onset, the detection advantage of in-time targets was eliminated; this was not the case when TMS was applied over the vertex. Our results are causal evidence that V5 is necessary for a prediction effect, which has been shown to modulate V1 activity (Alink et al. 2010). Thus, our findings suggest that information processing between V5 and V1 is crucial for visual motion prediction, providing experimental support for the predictive coding framework. Oxford University Press 2015-04 2013-10-23 /pmc/articles/PMC4380002/ /pubmed/24152544 http://dx.doi.org/10.1093/cercor/bht297 Text en © The Author 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Vetter, Petra Grosbras, Marie-Helene Muckli, Lars TMS Over V5 Disrupts Motion Prediction |
title | TMS Over V5 Disrupts Motion Prediction |
title_full | TMS Over V5 Disrupts Motion Prediction |
title_fullStr | TMS Over V5 Disrupts Motion Prediction |
title_full_unstemmed | TMS Over V5 Disrupts Motion Prediction |
title_short | TMS Over V5 Disrupts Motion Prediction |
title_sort | tms over v5 disrupts motion prediction |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4380002/ https://www.ncbi.nlm.nih.gov/pubmed/24152544 http://dx.doi.org/10.1093/cercor/bht297 |
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