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.
Authors
- Giuseppe Marrazzo (ORCID: https://orcid.org/0000-0003-2853-4402)
- Béatrice de Gelder (ORCID: https://orcid.org/0000-0003-1667-8986)
- Martin A. Giese (ORCID: https://orcid.org/0000-0003-1178-2768)
- Albert Mukovskiy
- Federico De Martino (ORCID: https://orcid.org/0000-0002-0352-0648)
Institutions
- University of Minnesota (US)
- Maastricht University (NL)
- Hertie Institute for Clinical Brain Research (DE)
- Resonance Research (United States) (US)
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