@article{Raman_Nature2025,
author = "Rajani Raman and Anna Bogn{\'a}r and Ghazaleh Ghamkhari Nejad and Albert Mukovskiy and Lucas M. Martini and Martin A. Giese and Rufin Vogels",
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 7Tesla fMRI. By predicting the response of single voxels to impossible/possible movements using a computational modelling approach, our findings demonstrate that a combination of postural, biomechanical, and categorical features significantly predicts neural responses in the ventral visual cortex, particularly within the extrastriate body area (EBA), underscoring the brain{\textquoteright}s sensitivity to biomechanical plausibility. Lastly, these findings highlight the functional heterogeneity of EBA, with specific regions (middle/superior occipital gyri) focusing on detailed biomechanical features and anterior regions (lateral occipital sulcus and inferior temporal gyrus) integrating more abstract, categorical information.Competing Interest StatementThe authors have declared no competing interest.",
doi = "10.1038/s41467-025-60945-5",
journal = "Nature Communications",
publisher = "Cold Spring Harbor Laboratory",
title = "{K}eypoint-based modeling reveals fine-grained body pose tuning in superior temporal sulcus neurons",
url = "https://www.nature.com/articles/s41467-025-60945-5",
year = "2025",
}