Dynamic changes in amygdala psychophysiological connectivity reveal distinct neural networks for facial expressions of basic emotions

Matteo Diano, M. Tamietto, A. Celeghin, Lawrence Weiskrantz, Mona-Karina Tatu, Arianna Bagnis, Sergio Duca, Giuliano Geminiani, Franco Cauda, Tommaso Costa

Research output: Contribution to journalArticleScientificpeer-review

Abstract

The quest to characterize the neural signature distinctive of different basic emotions has recently come under renewed scrutiny. Here we investigated whether facial expressions of different basic emotions modulate the functional connectivity of the amygdala with the rest of the brain. To this end, we presented seventeen healthy participants (8 females) with facial expressions of anger, disgust, fear, happiness, sadness and emotional neutrality and analyzed amygdala's psychophysiological interaction (PPI). In fact, PPI can reveal how inter-regional amygdala communications change dynamically depending on perception of various emotional expressions to recruit different brain networks, compared to the functional interactions it entertains during perception of neutral expressions. We found that for each emotion the amygdala recruited a distinctive and spatially distributed set of structures to interact with. These changes in amygdala connectional patters characterize the dynamic signature prototypical of individual emotion processing, and seemingly represent a neural mechanism that serves to implement the distinctive influence that each emotion exerts on perceptual, cognitive, and motor responses. Besides these differences, all emotions enhanced amygdala functional integration with premotor cortices compared to neutral faces. The present findings thus concur to reconceptualise the structure-function relation between brain-emotion from the traditional one-to-one mapping toward a network-based and dynamic perspective.

Original languageEnglish
Article number45260
JournalScientific Reports
Volume7
DOIs
Publication statusPublished - 2017

Keywords

  • NORADRENERGIC LOCUS-COERULEUS
  • UNDERSTANDING BRAIN NETWORKS
  • FUNCTIONAL NEUROANATOMY
  • PREFRONTAL CORTEX
  • WHOLE-BODY
  • CINGULATE CORTEX
  • VISUAL-CORTEX
  • METAANALYSIS
  • ACTIVATION
  • PERCEPTION

Cite this

Diano, Matteo ; Tamietto, M. ; Celeghin, A. ; Weiskrantz, Lawrence ; Tatu, Mona-Karina ; Bagnis, Arianna ; Duca, Sergio ; Geminiani, Giuliano ; Cauda, Franco ; Costa, Tommaso. / Dynamic changes in amygdala psychophysiological connectivity reveal distinct neural networks for facial expressions of basic emotions. In: Scientific Reports. 2017 ; Vol. 7.
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abstract = "The quest to characterize the neural signature distinctive of different basic emotions has recently come under renewed scrutiny. Here we investigated whether facial expressions of different basic emotions modulate the functional connectivity of the amygdala with the rest of the brain. To this end, we presented seventeen healthy participants (8 females) with facial expressions of anger, disgust, fear, happiness, sadness and emotional neutrality and analyzed amygdala's psychophysiological interaction (PPI). In fact, PPI can reveal how inter-regional amygdala communications change dynamically depending on perception of various emotional expressions to recruit different brain networks, compared to the functional interactions it entertains during perception of neutral expressions. We found that for each emotion the amygdala recruited a distinctive and spatially distributed set of structures to interact with. These changes in amygdala connectional patters characterize the dynamic signature prototypical of individual emotion processing, and seemingly represent a neural mechanism that serves to implement the distinctive influence that each emotion exerts on perceptual, cognitive, and motor responses. Besides these differences, all emotions enhanced amygdala functional integration with premotor cortices compared to neutral faces. The present findings thus concur to reconceptualise the structure-function relation between brain-emotion from the traditional one-to-one mapping toward a network-based and dynamic perspective.",
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author = "Matteo Diano and M. Tamietto and A. Celeghin and Lawrence Weiskrantz and Mona-Karina Tatu and Arianna Bagnis and Sergio Duca and Giuliano Geminiani and Franco Cauda and Tommaso Costa",
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Dynamic changes in amygdala psychophysiological connectivity reveal distinct neural networks for facial expressions of basic emotions. / Diano, Matteo; Tamietto, M.; Celeghin, A.; Weiskrantz, Lawrence; Tatu, Mona-Karina; Bagnis, Arianna; Duca, Sergio; Geminiani, Giuliano; Cauda, Franco; Costa, Tommaso.

In: Scientific Reports, Vol. 7, 45260, 2017.

Research output: Contribution to journalArticleScientificpeer-review

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AU - Diano, Matteo

AU - Tamietto, M.

AU - Celeghin, A.

AU - Weiskrantz, Lawrence

AU - Tatu, Mona-Karina

AU - Bagnis, Arianna

AU - Duca, Sergio

AU - Geminiani, Giuliano

AU - Cauda, Franco

AU - Costa, Tommaso

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KW - CINGULATE CORTEX

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