Various brain regions have been implicated in emotion regulation, although this process remains poorly understood. In this Opinion article, Etkin and colleagues bring together neuroimaging findings and ideas from value-based decision-making and reinforcement learning to propose a conceptual framework for emotion regulation. Emotions are powerful determinants of behaviour, thought and experience, and they may be regulated in various ways. Neuroimaging studies have implicated several brain regions in emotion regulation, including the ventral anterior cingulate and ventromedial prefrontal cortices, as well as the lateral prefrontal and parietal cortices. Drawing on computational approaches to value-based decision-making and reinforcement learning, we propose a unifying conceptual framework for understanding the neural bases of diverse forms of emotion regulation.

The neural bases of emotion regulation

The amygdala has been repeatedly implicated in emotional processing of both positive and negative valence stimuli. Previous studies suggest that the amygdala response to emotional stimuli is lower when the subject is in a meditative state of mindful attention, both in beginner meditators after an eight-week meditation intervention and in expert meditators. However, the longitudinal effects of meditation training on amygdala responses have not been reported when participants are in an ordinary, non-meditative state. In this study, we investigated how eight weeks of training in meditation affects amygdala responses to emotional stimuli in subjects when in a non-meditative state. Healthy adults with no prior meditation experience took part in eight weeks of either Mindful Attention Training, Cognitively-Based Compassion Training (CBCT; a program based on Tibetan Buddhist compassion meditation practices), or an active control intervention. Before and after the intervention, participants underwent an fMRI experiment during which they were presented images with positive, negative, and neutral emotional valences from the IAPS database while remaining in an ordinary, non-meditative state. Using a region-of-interest analysis, we found a longitudinal decrease in right amygdala activation in the Mindful Attention group in response to positive images, and in response to images of all valences overall. In the CBCT group, we found a trend increase in right amygdala response to negative images, which was significantly correlated with a decrease in depression score. No effects or trends were observed in the control group. This finding suggests that the effects of meditation training on emotional processing might transfer to non-meditative states. This is consistent with the hypothesis that meditation training may induce learning that is not stimulus- or task-specific, but process-specific, and thereby may result in enduring changes in mental function.

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Effects of mindful-attention and compassion meditation training on amygdala response to emotional stimuli in an ordinary, non-meditative state

Recognition of emotions using multimodal physiological signals and an ensemble deep learning model

The Development of Human Amygdala Functional Connectivity at Rest from 4 to 23 Years: a cross-sectional study

Recent years have witnessed the emergence of powerful new tools for assaying the brain and a remarkable acceleration of research focused on the interplay of emotion and cognition. This work has begun to yield new insights into fundamental questions about the nature of the mind and important clues about the origins of mental illness. In particular, this research demonstrates that stress, anxiety, and other kinds of emotion can profoundly influence key elements of cognition, including selective attention, working memory, and cognitive control. Often, this influence persists beyond the duration of transient emotional challenges, partially reflecting the slower molecular dynamics of catecholamine and hormonal neurochemistry. In turn, circuits involved in attention, executive control, and working memory contribute to the regulation of emotion. The distinction between the ‘emotional’ and the ‘cognitive’ brain is fuzzy and context-dependent. Indeed, there is compelling evidence that brain territories and psychological processes commonly associated with cognition, such as the dorsolateral prefrontal cortex and working memory, play a central role in emotion. Furthermore, putatively emotional and cognitive regions influence one another via a complex web of connections in ways that jointly contribute to adaptive and maladaptive behavior. This work demonstrates that emotion and cognition are deeply interwoven in the fabric of the brain, suggesting that widely held beliefs about the key constituents of ‘the emotional brain’ and ‘the cognitive brain’ are fundamentally flawed. We conclude by outlining several strategies for enhancing future research. Developing a deeper understanding of the emotional-cognitive brain is important, not just for understanding the mind but also for elucidating the root causes of its disorders.

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The neurobiology of emotion-cognition interactions: fundamental questions and strategies for future research.

https://sites.oxy.edu/clint/physio/article/Amygdalaprefrontalcouplingunderliesindividualdifferencesinemotionregulation.pdf

Amygdala-prefrontal coupling underlies individual differences in emotion regulation.

Despite growing interest in emotion regulation, the degree to which psychophysiological measures of emotion regulation are stable over time remains unknown. We examined four-week test-retest reliability of corrugator electromyographic and eyeblink startle measures of negative emotion and its regulation. Both measures demonstrated similar sensitivity to the emotion manipulation, but only individual differences in corrugator modulation and regulation showed adequate reliability. Startle demonstrated diminished sensitivity to the regulation instructions across assessments and poor reliability. This suggests that corrugator represents a trait-like measure of voluntary emotion regulation, whereas startle should be used with caution for assessing individual differences. The data also suggest that corrugator and startle might index partially dissociable constructs and underscore the need to collect multiple measures of emotion.

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Test-retest reliability of voluntary emotion regulation.

Although the co-occurrence of negative affect and pain is well recognized, the mechanism underlying their association is unclear. To examine whether a common self-regulatory ability impacts the experience of both emotion and pain, we integrated neuroimaging, behavioral, and physiological measures obtained from three assessments separated by substantial temporal intervals. Our results demonstrated that individual differences in emotion regulation ability, as indexed by an objective measure of emotional state, corrugator electromyography, predicted self-reported success while regulating pain. In both emotion and pain paradigms, the amygdala reflected regulatory success. Notably, we found that greater emotion regulation success was associated with greater change of amygdalar activity following pain regulation. Furthermore, individual differences in degree of amygdalar change following emotion regulation were a strong predictor of pain regulation success, as well as of the degree of amygdalar engagement following pain regulation. These findings suggest that common individual differences in emotion and pain regulatory success are reflected in a neural structure known to contribute to appraisal processes.

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Hyejeen Lee

Papers

Amygdala-prefrontal coupling underlies individual differences in emotion regulation.

Test-retest reliability of voluntary emotion regulation.

Amygdalar function reflects common individual differences in emotion and pain regulation success