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Overlapping Representations of Observed Actions and Action-related Features

Overview
Journal Hum Brain Mapp
Publisher Wiley
Specialty Neurology
Date 2024 Feb 21
PMID 38379447
Authors
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Abstract

The lateral occipitotemporal cortex (LOTC) has been shown to capture the representational structure of a smaller range of actions. In the current study, we carried out an fMRI experiment in which we presented human participants with images depicting 100 different actions and used representational similarity analysis (RSA) to determine which brain regions capture the semantic action space established using judgments of action similarity. Moreover, to determine the contribution of a wide range of action-related features to the neural representation of the semantic action space we constructed an action feature model on the basis of ratings of 44 different features. We found that the semantic action space model and the action feature model are best captured by overlapping activation patterns in bilateral LOTC and ventral occipitotemporal cortex (VOTC). An RSA on eight dimensions resulting from principal component analysis carried out on the action feature model revealed partly overlapping representations within bilateral LOTC, VOTC, and the parietal lobe. Our results suggest spatially overlapping representations of the semantic action space of a wide range of actions and the corresponding action-related features. Together, our results add to our understanding of the kind of representations along the LOTC that support action understanding.

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Overlapping representations of observed actions and action-related features.

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References
1.
Tarhan L, De Freitas J, Konkle T . Behavioral and neural representations en route to intuitive action understanding. Neuropsychologia. 2021; 163:108048. PMC: 8649031. DOI: 10.1016/j.neuropsychologia.2021.108048. View

2.
Guclu U, van Gerven M . Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream. J Neurosci. 2015; 35(27):10005-14. PMC: 6605414. DOI: 10.1523/JNEUROSCI.5023-14.2015. View

3.
Woolrich M, Ripley B, Brady M, Smith S . Temporal autocorrelation in univariate linear modeling of FMRI data. Neuroimage. 2001; 14(6):1370-86. DOI: 10.1006/nimg.2001.0931. View

4.
Lesourd M, Servant M, Baumard J, Reynaud E, Ecochard C, Medjaoui F . Semantic and action tool knowledge in the brain: Identifying common and distinct networks. Neuropsychologia. 2021; 159:107918. DOI: 10.1016/j.neuropsychologia.2021.107918. View

5.
Chao L, Haxby J, Martin A . Attribute-based neural substrates in temporal cortex for perceiving and knowing about objects. Nat Neurosci. 1999; 2(10):913-9. DOI: 10.1038/13217. View