Literature DB >> 31028922

Perceiving animacy purely from visual motion cues involves intraparietal sulcus.

Johannes Schultz1, Heinrich H Bülthoff2.   

Abstract

Distinguishing animate from inanimate objects is fundamental for social perception in humans and animals. Visual motion cues indicative of self-propelled object motion are useful for animacy perception: they can be detected over a wide expanse of visual field, at distance and in low visibility conditions, can attract attention and provide clues about object behaviour. However, the neural correlates of animacy perception evoked exclusively by visual motion cues, i.e. not relying on form, background or visual context, are unclear. We aimed to address this question in four psychophysical experiments in humans, two of which performed during neuroimaging. The stimulus was a single dot with constant form that moved on a blank background and evoked controlled degrees of perceived animacy through parametric variations of self-propelled motion cues. BOLD signals reflecting perceived animacy in a graded manner irrespective of eye movements were found in one intraparietal region. Additional whole-brain and region-of-interest analyses revealed no comparable effects in brain regions associated with social processing or other areas. Our study shows that animacy perception evoked solely by visual motion cues, a basic perceptual process in social cognition, engages brain regions not primarily associated with social cognition.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Animacy perception; Psychophysics; Visual motion; fMRI

Year:  2019        PMID: 31028922     DOI: 10.1016/j.neuroimage.2019.04.058

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  3 in total

Review 1.  Life is in motion (through a chick's eye).

Authors:  Bastien S Lemaire; Giorgio Vallortigara
Journal:  Anim Cogn       Date:  2022-10-12       Impact factor: 2.899

Review 2.  Breaking human social decision making into multiple components and then putting them together again.

Authors:  Shinsuke Suzuki; John P O'Doherty
Journal:  Cortex       Date:  2020-03-09       Impact factor: 4.027

3.  A Dynamical Generative Model of Social Interactions.

Authors:  Alessandro Salatiello; Mohammad Hovaidi-Ardestani; Martin A Giese
Journal:  Front Neurorobot       Date:  2021-06-09       Impact factor: 2.650

  3 in total

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