A Network Model of the Emotional Brain

Pessoa, Luiz

doi:10.1016/j.tics.2017.03.002

Cited by 319 publications

(275 citation statements)

References 96 publications

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“…Emphasizing even greater levels of interaction, in a recent proposal, I outlined how emotion and motivation can be understood based on functionally integrated systems involving distributed large-scale cortical-subcortical networks that are sensitive to bodily signals (Pessoa, 2017). Overall, the high degree of signal distribution and integration in the brain provides a nexus for the intermixing of information related to perception, cognition, emotion, motivation, and action.…”

Section: Cognitive-motivational Brain Networkmentioning

confidence: 99%

Cognitive-motivational interactions: Beyond boxes-and-arrows models of the mind-brain.

Pessoa¹

2017

Motivation Science

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How do motivation and cognitive control interact in brain and behavior? The past decade has witnessed a steady growth in studies investigating both the behavioral and the brain basis of these interactions. In this paper, I describe such interactions in the context of the dual completion model, which proposes that motivational significance influences both perceptual and executive competition. Embracing a research agenda that attempts to understand cognition-motivation interactions highlights considerable challenges faced by investigators. For example, even the standard language utilized, with terms such as “perception,” “attention,” “cognition,” and “motivation,” encourages a modular-like conceptualization of the underlying processes and mechanisms. I propose that large-scale interactions involving both task-related and valuation-related networks help understand how motivation shapes executive function. I argue that, ultimately, the mind and brain sciences need to move beyond “boxes and arrows” and fully embrace the richness and complexity of the interactions between motivation and cognition. In the last 10 years, the study in humans of the interactions of motivation with perception and cognition has grown at a fast pace. The growth has included behavioral studies characterizing the processes involved, and neuroimaging studies investigating the regions and circuits underlying the behaviors in question. This literature acknowledges the fact that perception and cognition do not happen in a vacuum but are, instead, situated in contexts that feature value. Although this assertion is uncontroversial, the mind and brain sciences have studied perception and cognition for many decades by largely extricating value from them. Fortunately, this state of affairs has now changed and the field has a newfound vigor in attempting to understand the impact of motivation on these mental functions.

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Section: Cognitive-motivational Brain Networkmentioning

confidence: 99%

Cognitive-motivational interactions: Beyond boxes-and-arrows models of the mind-brain.

Pessoa¹

2017

Motivation Science

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“…Moral transgression and betrayal are associated with harm that can be imposed by conspecifics, such as aggressive attack, social exclusion, and reputation damage (Frankfurt & Frazier, 2016), which are all related with extreme negative emotions. The thalamus projects to limbic subcortical structures, particularly the amygdala and ventral striatum, and hence is widely involved in affective processing (Pessoa, 2017; Vertes, Linley, & Hoover, 2015). It is possible that the amygdala–thalamus functional connection detected in our study plays roles in regulating the affective processing associated with moral transgression and betrayal.…”

Section: Discussionmentioning

confidence: 99%

Resting‐state brain fluctuation and functional connectivity dissociate moral injury from posttraumatic stress disorder

et al. 2019

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Moral injury is closely associated with posttraumatic stress disorder (PTSD) and characterized by disturbances in social and moral cognition. Little is known about the neural underpinnings of moral injury, and whether the neural correlates are different between moral injury and PTSD. A sample of 26 U.S. military veterans (two females: 28–55 years old) were investigated to determine how subjective appraisals of morally injurious events measured by Moral Injury Event Scale (MIES) and PTSD symptoms are differentially related to spontaneous fluctuations indexed by amplitude of low frequency fluctuation (ALFF) as well as functional connectivity during resting-state functional magnetic resonance imaging scanning. ALFF in the left inferior parietal lobule (L-IPL) was positively associated with MIES subscores of transgressions, negatively associated with subscores of betrayals, and not related with PTSD symptoms. Moreover, functional connectivity between the L-IPL and bilateral precuneus was positively related with PTSD symptoms and negatively related with MIES total scores. Our results provide the first evidence that morally injurious events and PTSD symptoms have dissociable neural underpinnings, and behaviorally distinct subcomponents of morally injurious events are different in neural responses. The findings increase our knowledge of the neural distinctions between moral injury and PTSD and may contribute to developing nosology and interventions for military veterans afflicted by moral injury.

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“…Knowledge about anatomy and physiology indicates that emotion and cognition are closely intertwined [5]. Anatomical and functional studies reveal that brain regions are massively interconnected [6,7].…”

Section: Emotional Robots?mentioning

confidence: 99%

“…Anatomical and functional studies reveal that brain regions are massively interconnected [6,7]. In particular, the brain basis of emotion has been suggested to involve large-scale cortical–subcortical networks that are distributed and sensitive to bodily signals [5]. The high degree of signal distribution and integration in the brain provides a nexus for the intermixing of information related to perception, cognition, emotion, motivation, and action.…”

Section: Emotional Robots?mentioning

confidence: 99%

“…Importantly, the functional architecture consists of multiple overlapping networks that are highly dynamic and context-sensitive. Furthermore, adopting a large-scale network perspective to brain organization [5–7] helps to clarify why some brain structures, such as the amygdala, are thought to be important for emotion: they are important hubs of large-scale connectivity systems. It also illuminates why the impact of emotion is so wide-ranging – it is not possible to impact emotion without affecting perception and cognition.…”

Section: Emotional Robots?mentioning

confidence: 99%

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