» Articles » PMID: 36672043

A Large Video Set of Natural Human Actions for Visual and Cognitive Neuroscience Studies and Its Validation with FMRI

Overview
Journal Brain Sci
Publisher MDPI
Date 2023 Jan 21
PMID 36672043
Authors
Affiliations
Soon will be listed here.
Abstract

The investigation of the perception of others' actions and underlying neural mechanisms has been hampered by the lack of a comprehensive stimulus set covering the human behavioral repertoire. To fill this void, we present a video set showing 100 human actions recorded in natural settings, covering the human repertoire except for emotion-driven (e.g., sexual) actions and those involving implements (e.g., tools). We validated the set using fMRI and showed that observation of the 100 actions activated the well-established action observation network. We also quantified the videos' low-level visual features (luminance, optic flow, and edges). Thus, this comprehensive video set is a valuable resource for perceptual and neuronal studies.

Citing Articles

An open-access database of video stimuli for action observation research in neuroimaging settings: psychometric evaluation and motion characterization.

Georgiev C, Legrand T, Mongold S, Fiedler-Valenta M, Guittard F, Bourguignon M Front Psychol. 2024; 15:1407458.

PMID: 39386138 PMC: 11461298. DOI: 10.3389/fpsyg.2024.1407458.

References
1.
Kriegeskorte N, Mur M, Bandettini P . Representational similarity analysis - connecting the branches of systems neuroscience. Front Syst Neurosci. 2008; 2:4. PMC: 2605405. DOI: 10.3389/neuro.06.004.2008. View

2.
Ferri S, Rizzolatti G, Orban G . The organization of the posterior parietal cortex devoted to upper limb actions: An fMRI study. Hum Brain Mapp. 2015; 36(10):3845-66. PMC: 5008173. DOI: 10.1002/hbm.22882. View

3.
Abraham A, Pedregosa F, Eickenberg M, Gervais P, Mueller A, Kossaifi J . Machine learning for neuroimaging with scikit-learn. Front Neuroinform. 2014; 8:14. PMC: 3930868. DOI: 10.3389/fninf.2014.00014. View

4.
Behzadi Y, Restom K, Liau J, Liu T . A component based noise correction method (CompCor) for BOLD and perfusion based fMRI. Neuroimage. 2007; 37(1):90-101. PMC: 2214855. DOI: 10.1016/j.neuroimage.2007.04.042. View

5.
Zhang Y, Brady M, Smith S . Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE Trans Med Imaging. 2001; 20(1):45-57. DOI: 10.1109/42.906424. View