Neural encoding of biomechanically (im)possible human movements in occipitotemporal cortex

Understanding how the human brain processes body movements is essential for clarifying the mechanisms underlying social cognition and interaction. This study investigates the encoding of biomechanically possible and impossible body movements in occipitotemporal cortex using ultra-high field 7T fMRI. By predicting the response of single voxels to impossible/possible movements using a computational modelling approach, our findings demonstrate that a combination of low-level, postural, biomechanical, and categorical features significantly predicts neural responses in the ventral visual cortex, particularly within the extrastriate body area (EBA), underscoring the brain's sensitivity to biomechanical plausibility.

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Publication Details

Journal
PLoS Computational Biology
Published
2025-12-08
DOI
https://doi.org/10.1371/journal.pcbi.1013694
Citations
1
Primary Topic
Action Observation and Synchronization
Type
article
Field-Weighted Citation Impact
2.44
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article

Neural encoding of biomechanically (im)possible human movements in occipitotemporal cortex

Giuseppe Marrazzo, Béatrice de Gelder, Martin A. Giese, Albert Mukovskiy et al.
1 citations
PLoS Computational Biology
Action Observation and Synchronization
2.44
article

Neural encoding of biomechanically (im)possible human movements in occipitotemporal cortex

Giuseppe Marrazzo, Béatrice de Gelder, Martin A. Giese, Albert Mukovskiy, Federico De Martino
article en
1 citations

Abstract

Understanding how the human brain processes body movements is essential for clarifying the mechanisms underlying social cognition and interaction. This study investigates the encoding of biomechanically possible and impossible body movements in occipitotemporal cortex using ultra-high field 7T fMRI. By predicting the response of single voxels to impossible/possible movements using a computational modelling approach, our findings demonstrate that a combination of low-level, postural, biomechanical, and categorical features significantly predicts neural responses in the ventral visual cortex, particularly within the extrastriate body area (EBA), underscoring the brain's sensitivity to biomechanical plausibility.

PLoS Computational BiologyVol. 21(12)
University of Minnesota (US), Maastricht University (NL), Hertie Institute for Clinical Brain Research (DE), Resonance Research (United States) (US)
Openalex Percentile: Top 8%
Action Observation and Synchronization
2.44
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