Evidence map›Paper›PMID 38379447›Full record

ArticleHuman brain mapping2024

Overlapping representations of observed actions and action-related features.

Zuzanna Kabulska, Tonghe Zhuang, Angelika Lingnau

Abstract read
In one paragraph

Article in Human brain mapping, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Zuzanna KabulskaFaculty of Human Sciences, Institute of Psychology, Chair of Cognitive Neuroscience, University of Regensburg, Regensburg, Germany.ORCID 0000-0002-6756-691X
Tonghe ZhuangFaculty of Human Sciences, Institute of Psychology, Chair of Cognitive Neuroscience, University of Regensburg, Regensburg, Germany.ORCID 0000-0002-7876-4962
Angelika LingnauFaculty of Human Sciences, Institute of Psychology, Chair of Cognitive Neuroscience, University of Regensburg, Regensburg, Germany.ORCID 0000-0001-8620-3009

Funding

Deutsche Forschungsgemeinschaft LI 2840/1-1Deutsche Forschungsgemeinschaft LI 2840/2-1
6 · The paper itself

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.

Indexed as

Occipital LobeTemporal LobeBrain MappingHumansMagnetic Resonance ImagingPattern Recognition, VisualPhotic StimulationLOTCmulti-dimensional action spacerepresentational space

Identifiers

PMID38379447
PMCPMC10879913

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.