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. 2009 Jul 1;3(4):475-493.
doi: 10.1111/j.1751-9004.2009.00186.x.

Using Neuroscience to Broaden Emotion Regulation: Theoretical and Methodological Considerations

Affiliations

Using Neuroscience to Broaden Emotion Regulation: Theoretical and Methodological Considerations

Elliot T Berkman et al. Soc Personal Psychol Compass. .

Abstract

Behavioral research on emotion regulation thus far has focused on conscious and deliberative strategies such as reappraisal. Neuroscience investigations into emotion regulation have followed suit. However, neuroimaging tools now open the door to investigate more automatic forms of emotion regulation that take place incidentally and potentially outside of participant awareness that have previously been difficult to examine. The present paper reviews studies on the neuroscience of intentional/deliberate emotion regulation and identifies opportunities for future directions that have not yet been addressed. The authors suggest a broad framework for emotion regulation that includes both deliberative and incidental forms. This framework allows insights from incidental emotion regulation to address open questions about existing work, and vice versa. Several studies relevant to incidental emotion regulation are reviewed with the goal of providing an empirical and methodological groundwork for future research. Finally, several theoretical issues for incidental and intentional emotion regulation are discussed.

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Figures

Figure 1
Figure 1
The dominant process model of intentional emotion regulation. Adapted (with permission) from Gross, 1998a.
Figure 2
Figure 2
The ‘affect labeling’ task used by Hariri et al. (2000). In each case the participant pairs the target (top) with the more similar of the two options (bottom). (A) The affect ‘match’ condition where the comparison is based on visual similarity between the target and the pair. (B) The affect ‘label’ condition where the comparison is based on semantic similarity between the affect shown in the target and the linguistic labels. (C) The control condition based on matching of geometric shapes. Reprinted with permission.

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