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. Affective

DIANO, M., TAMIETTO, M., CELEGHIN, A., Weiskrantz, L., TATU, M.K., BAGNIS, A., et al. (2017). Dynamic Changes in Amygdala Psychophysiological Connectivity Reveal Distinct Neural Networks for Facial Expressions of Basic Emotions. SCIENTIFIC REPORTS, 7, 1-13 [10.1038/srep45260].

Dynamic Changes in Amygdala Psychophysiological Connectivity Reveal Distinct Neural Networks for Facial Expressions of Basic Emotions

BAGNIS, ARIANNA;GEMINIANI, Giuliano Carlo;
2017

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. Affective
2017
DIANO, M., TAMIETTO, M., CELEGHIN, A., Weiskrantz, L., TATU, M.K., BAGNIS, A., et al. (2017). Dynamic Changes in Amygdala Psychophysiological Connectivity Reveal Distinct Neural Networks for Facial Expressions of Basic Emotions. SCIENTIFIC REPORTS, 7, 1-13 [10.1038/srep45260].
DIANO, MATTEO; TAMIETTO, Marco; CELEGHIN, ALESSIA; Weiskrantz, Lawrence; TATU, Mona Karina; BAGNIS, ARIANNA; DUCA, SERGIO; GEMINIANI, Giuliano Carlo; ...espandi
File in questo prodotto:
File Dimensione Formato  
costa et al 2017c.pdf

accesso aperto

Licenza: Licenza per Accesso Aperto. Creative Commons Attribuzione (CCBY)
Dimensione 935.17 kB
Formato Adobe PDF
935.17 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/738608
Citazioni
  • ???jsp.display-item.citation.pmc??? 37
  • Scopus 81
  • ???jsp.display-item.citation.isi??? 77
social impact