Cortical mechanisms of emotion regulation in young children responding to angry, neutral, and happy faces.

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Cortical mechanisms of emotion regulation in ...
Rebecca Mary Ruth Todd
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Last edited by OCLC Bot
April 27, 2011 | History

Cortical mechanisms of emotion regulation in young children responding to angry, neutral, and happy faces.

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The study of neural mechanisms underlying emotion regulation is currently of great interest to developmental psychologists. In order to assess normative patterns and individual differences in mechanisms of emotion regulation mediated by the frontal cortices, we examined young children's event-related potentials (ERPs) across varying emotional conditions. EEG was recorded from thirteen 4--6-year-old children, who viewed on-screen pictures of angry, neutral, and happy faces while engaged in a go/no-go task. Peak medial-frontal ERPs following picture and response cue onset were compared across emotion face types and correlated with trait anxiety. As predicted, angry faces generated the largest and fastest ERPs. Source analysis indicated centromedial and right-inferior frontal sources contributing to the ERPs for angry faces. Following the response cue, ERPs were largest when responses were withheld. Finally, more anxious children showed faster ERPs for angry faces. These results are interpreted in terms of early-developing attentional mechanisms recruited to regulate anxiety.

Publish Date
Language
English
Pages
55

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Book Details


Edition Notes

Source: Masters Abstracts International, Volume: 44-01, page: 0569.

Thesis (M.A.)--University of Toronto, 2005.

Electronic version licensed for access by U. of T. users.

ROBARTS MICROTEXT copy on microfiche.

The Physical Object

Pagination
55 leaves.
Number of pages
55

ID Numbers

Open Library
OL19215641M
ISBN 10
0494025026
OCLC/WorldCat
74028441

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Download catalog record: RDF / JSON / OPDS | Wikipedia citation
April 27, 2011 Edited by OCLC Bot Added OCLC numbers.
December 15, 2009 Edited by WorkBot link works
October 21, 2008 Created by ImportBot Imported from University of Toronto MARC record.