Functional imaging studies of emotion regulation: A synthetic review and evolving model of the cognitive control of emotion

By A. N. Acad, Sci, Kevin N. Ochsner, J. Silvers, Jason Buhle. Annals of the New York Academy of Sciences, 2012

1,789 citations recorded by the source corpus.

This paper reviews and synthesizes functional imaging research that over the past decade has begun to offer new insights into the brain mechanisms underlying emotion regulation. Toward that end, the first section of the paper outlines a model of the processes and neural systems involved in emotion generation and regulation. The second section surveys recent research supporting and elaborating the model, focusing primarily on studies of the most commonly investigated strategy, which is known as reappraisal. At its core, the model specifies how prefrontal and cingulate control systems modulate activity in perceptual, semantic, and affect systems as a function of one's regulatory goals, tactics, and the nature of the stimuli and emotions being regulated. This section also shows how the model can be generalized to understand the brain mechanisms underlying other emotion regulation strategies as well as a range of other allied phenomena. The third and last section considers directions for future research, including how basic models of emotion regulation can be translated to understand changes in emotion across the life span and in clinical disorders.

Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/2d372a26443c22d296f09c593fb72618da882355

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Citations in the corpus

The Development of Human Amygdala Functional Connectivity at Rest from 4 to 23 Years: a cross-sectional study (2014, neutral): “A robust humanneuroimaging literature has shown that it is the functional connections between regions in these networks that underlie these affective and cognitive processes (Hariri et al., 2003; Kim et al., 2011a; Ochsner et al., 2012), and the strength of these functional connections has predicted”
Emotion and the Prefrontal Cortex: An Integrative Review (2017, background): “, diminished amygdala activation when down-regulating negative affect) (Buhle et al., 2013; Ochsner & Gross, 2005; Ochsner et al., 2012; Wager et al., 2008).”
Common and differential neural networks of emotion regulation by Detachment, Reinterpretation, Distraction, and Expressive Suppression: A comparative fMRI investigation (2014, background): “More precisely, the ventromedial prefrontal cortex (VMPFC), dorsomedial prefrontal cortex (DMPFC), the dorsolateral prefrontal cortex (DLPFC) and ventrolateral prefrontal cortex (VLPFC), the inferior parietal cortex (IPC) and the anterior cingulate cortex (ACC) are discussed as common brain regions ”
Joy and Calm: How an Evolutionary Functional Model of Affect Regulation Informs Positive Emotions in Nature (2016, background): “Certainly, the PFC (commonly referred to as the ‘seat of reasoning’) is now well-established in emotion regulation processes (see Ochsner et al. 2012 for review), with disrupted connectivity between limbic and prefrontal brain regions implicated in a number of affective disorders such as anxiety…”
Real-time fMRI neurofeedback: Progress and challenges (2013, background): “One example of relevance to psychiatry is the putative networks for automatic and voluntary emotion regulation (Ochsner et al., 2012; Phillips et al., 2008), which provide multiple targets for region- or network-based neurofeedback training (Esmail and Linden, 2011; LaConte et al.”
On the interaction of social affect and cognition: empathy, compassion and theory of mind (2018, neutral): “Reappraisal on the other hand yielded activity in a fronto-parietal network associated with cognitive control and attention regulation [54].”
Cognitive reappraisal of emotion: a meta-analysis of human neuroimaging studies. (2014, methodology): “…cognitive and physiological costs associated with response-focused strategies (e.g., expressive suppression) (Gross 1998), and with longerlasting effects than attention-focused strategies (e.g., distraction) (Ochsner and Gross 2005; Kross and Ayduk 2008; Ochsner et al. 2012; Silvers et al. 2013).”