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fMRI Evidence of ‘Mirror’ Responses to Geometric Shapes

Overview of attention for article published in PLOS ONE, December 2012
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Title
fMRI Evidence of ‘Mirror’ Responses to Geometric Shapes
Published in
PLOS ONE, December 2012
DOI 10.1371/journal.pone.0051934
Pubmed ID
Authors

Clare Press, Caroline Catmur, Richard Cook, Hannah Widmann, Cecilia Heyes, Geoffrey Bird

Abstract

Mirror neurons may be a genetic adaptation for social interaction. Alternatively, the associative hypothesis proposes that the development of mirror neurons is driven by sensorimotor learning, and that, given suitable experience, mirror neurons will respond to any stimulus. This hypothesis was tested using fMRI adaptation to index populations of cells with mirror properties. After sensorimotor training, where geometric shapes were paired with hand actions, BOLD response was measured while human participants experienced runs of events in which shape observation alternated with action execution or observation. Adaptation from shapes to action execution, and critically, observation, occurred in ventral premotor cortex (PMv) and inferior parietal lobule (IPL). Adaptation from shapes to execution indicates that neuronal populations responding to the shapes had motor properties, while adaptation to observation demonstrates that these populations had mirror properties. These results indicate that sensorimotor training induced populations of cells with mirror properties in PMv and IPL to respond to the observation of arbitrary shapes. They suggest that the mirror system has not been shaped by evolution to respond in a mirror fashion to biological actions; instead, its development is mediated by stimulus-general processes of learning within a system adapted for visuomotor control.

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Mendeley readers

The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 2%
Hungary 1 <1%
Germany 1 <1%
Austria 1 <1%
Sweden 1 <1%
United Kingdom 1 <1%
Slovakia 1 <1%
Canada 1 <1%
Belgium 1 <1%
Other 2 2%
Unknown 114 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 29%
Student > Bachelor 16 13%
Researcher 15 12%
Student > Master 12 10%
Lecturer 8 6%
Other 24 19%
Unknown 14 11%
Readers by discipline Count As %
Psychology 56 44%
Neuroscience 23 18%
Agricultural and Biological Sciences 13 10%
Nursing and Health Professions 2 2%
Computer Science 2 2%
Other 11 9%
Unknown 19 15%