Literature DB >> 24214921

Temporal and spatial neural dynamics in the perception of basic emotions from complex scenes.

Tommaso Costa1, Franco Cauda1, Manuella Crini2, Mona-Karina Tatu1, Alessia Celeghin2, Beatrice de Gelder1, Marco Tamietto3.   

Abstract

The different temporal dynamics of emotions are critical to understand their evolutionary role in the regulation of interactions with the surrounding environment. Here, we investigated the temporal dynamics underlying the perception of four basic emotions from complex scenes varying in valence and arousal (fear, disgust, happiness and sadness) with the millisecond time resolution of Electroencephalography (EEG). Event-related potentials were computed and each emotion showed a specific temporal profile, as revealed by distinct time segments of significant differences from the neutral scenes. Fear perception elicited significant activity at the earliest time segments, followed by disgust, happiness and sadness. Moreover, fear, disgust and happiness were characterized by two time segments of significant activity, whereas sadness showed only one long-latency time segment of activity. Multidimensional scaling was used to assess the correspondence between neural temporal dynamics and the subjective experience elicited by the four emotions in a subsequent behavioral task. We found a high coherence between these two classes of data, indicating that psychological categories defining emotions have a close correspondence at the brain level in terms of neural temporal dynamics. Finally, we localized the brain regions of time-dependent activity for each emotion and time segment with the low-resolution brain electromagnetic tomography. Fear and disgust showed widely distributed activations, predominantly in the right hemisphere. Happiness activated a number of areas mostly in the left hemisphere, whereas sadness showed a limited number of active areas at late latency. The present findings indicate that the neural signature of basic emotions can emerge as the byproduct of dynamic spatiotemporal brain networks as investigated with millisecond-range resolution, rather than in time-independent areas involved uniquely in the processing one specific emotion.
© The Author (2013). Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  EEG; ERP; IAPS; LORETA; basic emotions; rapid perception; time

Mesh:

Year:  2013        PMID: 24214921      PMCID: PMC4221209          DOI: 10.1093/scan/nst164

Source DB:  PubMed          Journal:  Soc Cogn Affect Neurosci        ISSN: 1749-5016            Impact factor:   3.436


  92 in total

Review 1.  The retrosplenial cortex and emotion: new insights from functional neuroimaging of the human brain.

Authors:  R J Maddock
Journal:  Trends Neurosci       Date:  1999-07       Impact factor: 13.837

2.  Functional neuroanatomy of emotions: a meta-analysis.

Authors:  Fionnuala C Murphy; Ian Nimmo-Smith; Andrew D Lawrence
Journal:  Cogn Affect Behav Neurosci       Date:  2003-09       Impact factor: 3.282

3.  How brains beware: neural mechanisms of emotional attention.

Authors:  Patrik Vuilleumier
Journal:  Trends Cogn Sci       Date:  2005-11-10       Impact factor: 20.229

4.  Brain structures activated by overt and covert emotional visual stimuli.

Authors:  Elisabetta Sabatini; Stefania Della Penna; Raffaella Franciotti; Antonio Ferretti; Pierluigi Zoccolotti; Paolo M Rossini; Gian Luca Romani; Guido Gainotti
Journal:  Brain Res Bull       Date:  2009-03-19       Impact factor: 4.077

5.  Cerebral and spinal modulation of pain by emotions.

Authors:  Mathieu Roy; Mathieu Piché; Jen-I Chen; Isabelle Peretz; Pierre Rainville
Journal:  Proc Natl Acad Sci U S A       Date:  2009-11-19       Impact factor: 11.205

Review 6.  Brain systems for assessing the affective value of faces.

Authors:  Christopher P Said; James V Haxby; Alexander Todorov
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-06-12       Impact factor: 6.237

7.  Can't shake that feeling: event-related fMRI assessment of sustained amygdala activity in response to emotional information in depressed individuals.

Authors:  Greg J Siegle; Stuart R Steinhauer; Michael E Thase; V Andrew Stenger; Cameron S Carter
Journal:  Biol Psychiatry       Date:  2002-05-01       Impact factor: 13.382

8.  Imitating expressions: emotion-specific neural substrates in facial mimicry.

Authors:  Tien-Wen Lee; Oliver Josephs; Raymond J Dolan; Hugo D Critchley
Journal:  Soc Cogn Affect Neurosci       Date:  2006-09       Impact factor: 3.436

9.  Are there sex differences in ERPs related to processing empathy-evoking pictures?

Authors:  Y Groen; A A Wijers; O Tucha; M Althaus
Journal:  Neuropsychologia       Date:  2012-11-20       Impact factor: 3.139

10.  Real-time self-regulation of emotion networks in patients with depression.

Authors:  David E J Linden; Isabelle Habes; Stephen J Johnston; Stefanie Linden; Ranjit Tatineni; Leena Subramanian; Bettina Sorger; David Healy; Rainer Goebel
Journal:  PLoS One       Date:  2012-06-04       Impact factor: 3.240

View more
  24 in total

1.  Common neural correlates of emotion perception in humans.

Authors:  Jan Jastorff; Yun-An Huang; Martin A Giese; Mathieu Vandenbulcke
Journal:  Hum Brain Mapp       Date:  2015-07-28       Impact factor: 5.038

2.  Dynamic functional connectivity and individual differences in emotions during social stress.

Authors:  Michael J Tobia; Koby Hayashi; Grey Ballard; Ian H Gotlib; Christian E Waugh
Journal:  Hum Brain Mapp       Date:  2017-09-20       Impact factor: 5.038

3.  Interfering with activity in the dorsomedial prefrontal cortex via TMS affects social impressions updating.

Authors:  Chiara Ferrari; Tomaso Vecchi; Alexander Todorov; Zaira Cattaneo
Journal:  Cogn Affect Behav Neurosci       Date:  2016-08       Impact factor: 3.282

4.  Neural signatures of dynamic emotion constructs in the human brain.

Authors:  Tijl Grootswagers; Briana L Kennedy; Steven B Most; Thomas A Carlson
Journal:  Neuropsychologia       Date:  2017-10-13       Impact factor: 3.139

5.  Mu rhythm suppression is associated with the classification of emotion in faces.

Authors:  Matthew R Moore; Elizabeth A Franz
Journal:  Cogn Affect Behav Neurosci       Date:  2017-02       Impact factor: 3.282

6.  On the Automatic Nature of Threat: Physiological and Evaluative Reactions to Survival-Threats Outside Conscious Perception.

Authors:  David S March; Lowell Gaertner; Michael A Olson
Journal:  Affect Sci       Date:  2022-01-07

7.  Default and control network connectivity dynamics track the stream of affect at multiple timescales.

Authors:  Giada Lettieri; Giacomo Handjaras; Francesca Setti; Elisa Morgana Cappello; Valentina Bruno; Matteo Diano; Andrea Leo; Emiliano Ricciardi; Pietro Pietrini; Luca Cecchetti
Journal:  Soc Cogn Affect Neurosci       Date:  2022-05-05       Impact factor: 4.235

8.  Characterization of the Nencki Affective Picture System by discrete emotional categories (NAPS BE).

Authors:  Monika Riegel; Łukasz Żurawski; Małgorzata Wierzba; Abnoss Moslehi; Łukasz Klocek; Marko Horvat; Anna Grabowska; Jarosław Michałowski; Katarzyna Jednoróg; Artur Marchewka
Journal:  Behav Res Methods       Date:  2016-06

9.  Electrophysiological Evidence Reveals Differences between the Recognition of Microexpressions and Macroexpressions.

Authors:  Xunbing Shen; Qi Wu; Ke Zhao; Xiaolan Fu
Journal:  Front Psychol       Date:  2016-08-31

10.  Reappraisal and Distraction Emotion Regulation Strategies Are Associated with Distinct Patterns of Visual Attention and Differing Levels of Cognitive Demand.

Authors:  Gregory P Strauss; Kathryn L Ossenfort; Kayla M Whearty
Journal:  PLoS One       Date:  2016-11-17       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.