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EMOTION REGULATION NETWORKS

Funded by

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Gehirnscans

Impairments in self-regulation of emotions are a substantial aspect of neuropsychiatric disorders such as anxiety disorder, major depression, bipolar disorder, and borderline personality disorder. These disorders account for up to 40% of years lived with disability, with depression as the main cause. Key characteristics of these disorders are changes in emotion processing, i.e. emotion perception, emotion reactivity and emotion regulation. From a brain network perspective, these emotion processing alterations were found to be associated with reduced activity in the prefrontal cortex (dorsolateral and ventrolateral prefrontal cortex), while at the same time limbic areas (particularly the amygdala) are overactivated.

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In this project, we investigate which brain networks underlie emotion regulation as well as the connectivity between key regions involved in emotion regulation. 

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Related publications

1.

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​Multiple large-scale neural networks underlying emotion regulation

3.

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The Effect of Strategies, Goals and Stimulus Material on the Neural Mechanisms of Emotion Regulation: A Meta-Analysis of fMRI Studies

5.

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Amygdala-prefrontal connectivity during emotion regulation: A meta-analysis of psychophysiological interactions

2.

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Intrinsic Functional Connectivity Underlying Successful Emotion Regulation of Angry Faces

4.

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Changes in Effective Connectivity Between Dorsal and Ventral Prefrontal Regions Moderate Emotion Regulation

6.

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Test-retest reliability of emotion regulation networks using fMRI at ultra-high magnetic field

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