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Attention to the eyes and fear-recognition deficits in childpsychopathy

Published online by Cambridge University Press:  02 January 2018

Mark R. Dadds*
Affiliation:
University of New South Wales, Sydney, Australia
Yael Perry
Affiliation:
University of New South Wales, Sydney, Australia
David J. Hawes
Affiliation:
University of New South Wales, Sydney, Australia
Sabine Merz
Affiliation:
University of New South Wales, Sydney, Australia
Alison C. Riddell
Affiliation:
University of New South Wales, Sydney, Australia
Damien J. Haines
Affiliation:
University of New South Wales, Sydney, Australia
Emel Solak
Affiliation:
University of New South Wales, Sydney, Australia
Amali I. Abeygunawardane
Affiliation:
University of New South Wales, Sydney, Australia
*
Dr Mark R. Dadds, School of Psychology, University of NewSouth Wales, Sydney, NSW 2052, Australia. Email: m.dadds@unsw.edu.au
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Summary

The ability to recognise fear is impaired in people with damage to theamygdala and, interestingly, in adult psychopathy. Here we confirm thatdeficits in recognising fear exist in children with psychopathic traits. Weshow for the first time that, as with patients with amygdala damage, thisdeficit can be temporarily corrected by simply asking them to focus on theeyes of other people. These data support models of psychopathy thatemphasise specific dysfunction of the amygdala and suggest an innovativeapproach for intervening early in the development of psychopathy.

Information

Type
Short Reports
Copyright
Copyright © Royal College of Psychiatrists, 2006 
Figure 0

Fig. 1. (a) Partial correlations of antisocial (controlling for callous-unemotional (CU) traits) and CU traits (controlling for antisocial) with accuracy of recognition of the six emotions for boys in study 1. (b) Mean accuracy for facial fear recognition for boys high and low on CU traits under three gaze conditions: no instruction, instruction to focus on eyes, instruction to focus on mouth. Significant interaction between gaze and CU category, F (2,55)=5.149, P=0.009. Error bars represent standard errors of the means.

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