Literature DB >> 19585386

Effect of motion smoothness on brain activity while observing a dance: An fMRI study using a humanoid robot.

Naoki Miura1, Motoaki Sugiura, Makoto Takahashi, Yuko Sassa, Atsushi Miyamoto, Shigeru Sato, Kaoru Horie, Katsuki Nakamura, Ryuta Kawashima.   

Abstract

Motion smoothness is critical in transmitting implicit information of body action, such as aesthetic qualities in dance performances. We expected that the perception of motion smoothness would be characterized by great intersubject variability deriving from differences in personal backgrounds and attitudes toward expressive body actions. We used functional magnetic resonance imaging and a humanoid robot to investigate the effects of the motion smoothness of expressive body actions and the intersubject variability due to personal attitudes on perceptions during dance observation. The effect of motion smoothness was analyzed by both conventional subtraction analysis and functional connectivity analyses that detect cortical networks reflecting intersubject variability. The results showed that the cortical networks of motion- and body-sensitive visual areas showed increases in activity in areas corresponding with motion smoothness, but the intersubject variability of personal attitudes toward art did not influence these active areas. In contrast, activation of cortical networks, including the parieto-frontal network, has large intersubject variability, and this variability is associated with personal attitudes about the consciousness of art. Thus, our results suggest that activity in the cortical network involved in understanding action is influenced by personal attitudes about the consciousness of art during observations of expressive body actions.

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Year:  2009        PMID: 19585386     DOI: 10.1080/17470910903083256

Source DB:  PubMed          Journal:  Soc Neurosci        ISSN: 1747-0919            Impact factor:   2.083


  11 in total

1.  Biomechanical metrics of aesthetic perception in dance.

Authors:  Shaw Bronner; James Shippen
Journal:  Exp Brain Res       Date:  2015-08-30       Impact factor: 1.972

2.  Fronto-parietal coding of goal-directed actions performed by artificial agents.

Authors:  Aleksandra Kupferberg; Marco Iacoboni; Virginia Flanagin; Markus Huber; Anna Kasparbauer; Thomas Baumgartner; Gregor Hasler; Florian Schmidt; Christoph Borst; Stefan Glasauer
Journal:  Hum Brain Mapp       Date:  2017-12-05       Impact factor: 5.038

3.  Smoothness of stimulus motion can affect vection strength.

Authors:  Yoshitaka Fujii; Takeharu Seno; Robert S Allison
Journal:  Exp Brain Res       Date:  2017-11-20       Impact factor: 1.972

Review 4.  Decoding intention: a neuroergonomic perspective.

Authors:  Scott T Grafton; Christine M Tipper
Journal:  Neuroimage       Date:  2011-05-30       Impact factor: 6.556

5.  Action understanding and active inference.

Authors:  Karl Friston; Jérémie Mattout; James Kilner
Journal:  Biol Cybern       Date:  2011-02-17       Impact factor: 2.086

6.  Robotic movement preferentially engages the action observation network.

Authors:  Emily S Cross; Roman Liepelt; Antonia F de C Hamilton; Jim Parkinson; Richard Ramsey; Waltraud Stadler; Wolfgang Prinz
Journal:  Hum Brain Mapp       Date:  2011-09-06       Impact factor: 5.038

7.  Walking but not barking improves verb recovery: implications for action observation treatment in aphasia rehabilitation.

Authors:  Paola Marangolo; Susanna Cipollari; Valentina Fiori; Carmela Razzano; Carlo Caltagirone
Journal:  PLoS One       Date:  2012-06-13       Impact factor: 3.240

Review 8.  Understanding Activation Patterns in Shared Circuits: Toward a Value Driven Model.

Authors:  Lisa Aziz-Zadeh; Emily Kilroy; Giorgio Corcelli
Journal:  Front Hum Neurosci       Date:  2018-05-07       Impact factor: 3.169

9.  The shaping of social perception by stimulus and knowledge cues to human animacy.

Authors:  Emily S Cross; Richard Ramsey; Roman Liepelt; Wolfgang Prinz; Antonia F de C Hamilton
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-01-19       Impact factor: 6.237

Review 10.  Embodied artificial agents for understanding human social cognition.

Authors:  Agnieszka Wykowska; Thierry Chaminade; Gordon Cheng
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-05-05       Impact factor: 6.237

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