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Physical inference of falling objects involves simulation of occluded trajectories in early visual areas

Humans possess an intuitive understanding of the environment's physical properties and dynamics, which allows them to predict the outcomes of physical scenarios and successfully interact with the physical world. This predictive ability is thought to rely on mental simulations and has been shown...

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Autores principales: Zbären, Gabrielle Aude, Meissner, Sarah Nadine, Kapur, Manu, Wenderoth, Nicole
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10258535/
https://www.ncbi.nlm.nih.gov/pubmed/37195021
http://dx.doi.org/10.1002/hbm.26338
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author Zbären, Gabrielle Aude
Meissner, Sarah Nadine
Kapur, Manu
Wenderoth, Nicole
author_facet Zbären, Gabrielle Aude
Meissner, Sarah Nadine
Kapur, Manu
Wenderoth, Nicole
author_sort Zbären, Gabrielle Aude
collection PubMed
description Humans possess an intuitive understanding of the environment's physical properties and dynamics, which allows them to predict the outcomes of physical scenarios and successfully interact with the physical world. This predictive ability is thought to rely on mental simulations and has been shown to involve frontoparietal areas. Here, we investigate whether such mental simulations may be accompanied by visual imagery of the predicted physical scene. We designed an intuitive physical inference task requiring participants to infer the parabolic trajectory of an occluded ball falling in accordance with Newtonian physics. Participants underwent fMRI while (i) performing the physical inference task alternately with a visually matched control task, and (ii) passively observing falling balls depicting the trajectories that had to be inferred during the physical inference task. We found that performing the physical inference task activates early visual areas together with a frontoparietal network when compared with the control task. Using multivariate pattern analysis, we show that these regions contain information specific to the trajectory of the occluded ball (i.e., fall direction), despite the absence of visual inputs. Using a cross‐classification approach, we further show that in early visual areas, trajectory‐specific activity patterns evoked by the physical inference task resemble those evoked by the passive observation of falling balls. Together, our findings suggest that participants simulated the ball trajectory when solving the task, and that the outcome of these simulations may be represented in form of the perceivable sensory consequences in early visual areas.
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spelling pubmed-102585352023-06-13 Physical inference of falling objects involves simulation of occluded trajectories in early visual areas Zbären, Gabrielle Aude Meissner, Sarah Nadine Kapur, Manu Wenderoth, Nicole Hum Brain Mapp Research Articles Humans possess an intuitive understanding of the environment's physical properties and dynamics, which allows them to predict the outcomes of physical scenarios and successfully interact with the physical world. This predictive ability is thought to rely on mental simulations and has been shown to involve frontoparietal areas. Here, we investigate whether such mental simulations may be accompanied by visual imagery of the predicted physical scene. We designed an intuitive physical inference task requiring participants to infer the parabolic trajectory of an occluded ball falling in accordance with Newtonian physics. Participants underwent fMRI while (i) performing the physical inference task alternately with a visually matched control task, and (ii) passively observing falling balls depicting the trajectories that had to be inferred during the physical inference task. We found that performing the physical inference task activates early visual areas together with a frontoparietal network when compared with the control task. Using multivariate pattern analysis, we show that these regions contain information specific to the trajectory of the occluded ball (i.e., fall direction), despite the absence of visual inputs. Using a cross‐classification approach, we further show that in early visual areas, trajectory‐specific activity patterns evoked by the physical inference task resemble those evoked by the passive observation of falling balls. Together, our findings suggest that participants simulated the ball trajectory when solving the task, and that the outcome of these simulations may be represented in form of the perceivable sensory consequences in early visual areas. John Wiley & Sons, Inc. 2023-05-17 /pmc/articles/PMC10258535/ /pubmed/37195021 http://dx.doi.org/10.1002/hbm.26338 Text en © 2023 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Zbären, Gabrielle Aude
Meissner, Sarah Nadine
Kapur, Manu
Wenderoth, Nicole
Physical inference of falling objects involves simulation of occluded trajectories in early visual areas
title Physical inference of falling objects involves simulation of occluded trajectories in early visual areas
title_full Physical inference of falling objects involves simulation of occluded trajectories in early visual areas
title_fullStr Physical inference of falling objects involves simulation of occluded trajectories in early visual areas
title_full_unstemmed Physical inference of falling objects involves simulation of occluded trajectories in early visual areas
title_short Physical inference of falling objects involves simulation of occluded trajectories in early visual areas
title_sort physical inference of falling objects involves simulation of occluded trajectories in early visual areas
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10258535/
https://www.ncbi.nlm.nih.gov/pubmed/37195021
http://dx.doi.org/10.1002/hbm.26338
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