Mirth and laughter elicited by electrical stimulation of the human anterior cingulate cortex

Caruana, Fausto; Avanzini, Pietro; Gozzo, Francesca; Francione, Stefano; Cardinale, Francesco; Rizzolatti, Giacomo

doi:10.1016/j.cortex.2015.07.024

Cited by 106 publications

(83 citation statements)

References 58 publications

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“…Accordingly, this FCP shows strong positive correlation with joy and love, but negative correlation with sadness and anxiety, like FCP-1 36 . Neural activation in regions overlapping with motor face areas in operculum and preSMA would be consistent with networks controlling smiling and laughing 37 . Electrical stimulation of medial premotor cortices may elicit both laughter and mirth 37 , and covert activation of zygomatic muscles is a reliable marker of positive valence 38 .…”

Section: Discussionmentioning

confidence: 61%

Brain networks subserving functional core processes of emotions identified with componential modelling

Mohammadi

Ville

Vuilleumier

2020

Preprint

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Emotions have powerful effects on the mind, body, and behavior. Although psychology theories emphasized multi-componential characteristics of emotions, little is known about the nature and neural architecture of such components in the brain. We used a multivariate data-driven approach to decompose a wide range of emotions into functional core processes and identify their neural organization. Twenty participants watched 40 emotional clips and rated 119 emotional moments in terms of 32 component features defined by a previously validated componential model. Results show how different emotions emerge from coordinated activity across a set of brain networks coding for component processes associated with valuation appraisal, hedonic experience, novelty, goal-relevance, approach/avoidance tendencies, and social concerns. Our study goes beyond previous research that focused on either categorical or dimensional emotions and highlighting how novel methodology combined with componential modelling may allow emotion neuroscience to move forward and unveil the functional architecture of human affective experiences.(e.g. appraisal or action tendency) that interact with each other to evaluate the meaning of events and induce adaptive changes in behavior and cognition 22 . Such models make an explicit distinction between different constituents of emotions, for example, appraisal mechanisms, motor expression, action tendencies, peripheral autonomic changes, motivational drive, as well as various effects on cognitive and memory functions, in addition to the generation of subjective feeling states 23 (see Figure 1). These constituents may be shared between different emotions but engaged in different ways and to different degrees. Moreover, different appraisal mechanisms evaluate events along different dimensions, which eventually determine their affective significance and trigger corresponding changes in mental and bodily functions 24 . The pattern of appraisals and corresponding responses will, in turn, generate a particular emotion experience. According to such models, appraisals may encompass not only pleasantness (valence), but also novelty, relevance to current goals, causality and agency, expectation and familiarity, control ability, as well as personal values, social norms, and other contextual factors 6 . Figure 1: Component model of emotion. In this framework, emotions are conceived as resulting from the concomitant (or sequential) engagement of distinct processes, responsible for the evaluation as well as the behavioral and bodily responses to particular events. According to the Component Process Model (CPM) proposed by Scherer and colleagues, from which emotion features were defined in our study, five distinct functional components are dynamically activating and reciprocally interacting to constitute an emotional experience, including appraisal mechanisms that process contextual information about the event, motivational mechanisms that promote goal-oriented behaviors and cognitions, motor expressions and physiological ch...

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Section: Discussionmentioning

confidence: 61%

Brain networks subserving functional core processes of emotions identified with componential modelling

Mohammadi

Ville

Vuilleumier

2020

Preprint

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“…An implantable recording and stimulation system can contain a digital signal processor capable of deciding when to stimulate [77]. Other applications of cortical stimulation include closed-loop brain computer interfaces (BCI) which aim to generate functional maps of the brain [78], restore somatosensory feedback [76], restore motor control to tetraplegics [79], aid stroke survivors [80], [81], restore vision [82], reduce pain [73], or even change emotional state [83].…”

Section: Integrated Circuit Interfaces For Stimulationmentioning

confidence: 99%

Silicon-Integrated High-Density Electrocortical Interfaces

Akinin

Park

et al. 2017

Proc. IEEE

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“…Stimulation of pACC elicits smiling and laughter often with mirth 14 , and the presentation of movies showing laughing, but not crying or neutral expressions, modulates the gamma band activity in the same site 15 .…”

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confidence: 99%