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

Tommaso Costa1, Franco Cauda1, Manuella Crini2

  • 1CCS fMRI, Kolliker Hospital, C.so G. Ferraris 247, 10134 Torino, Italy, Department of Psychology, University of Torino, via Po 14, 10123 Torino, Italy, Depatment of Neurological and Movement Sciences, University of Verona, strada Le Grazie 8, 37143 Verona, Italy, Cognitive and Affective Neuroscience Laboratory, and CoRPS-Center of Research on Psychology in Somatic Diseases-Tilburg University, PO Box 90153, 5000 LE Tilburg, The Netherlands, and Department of Cognitive Neuroscience, Maastricht University, Oxfordlaan 55, 6229 EV Maastricht, The Netherlands CCS fMRI, Kolliker Hospital, C.so G. Ferraris 247, 10134 Torino, Italy, Department of Psychology, University of Torino, via Po 14, 10123 Torino, Italy, Depatment of Neurological and Movement Sciences, University of Verona, strada Le Grazie 8, 37143 Verona, Italy, Cognitive and Affective Neuroscience Laboratory, and CoRPS-Center of Research on Psychology in Somatic Diseases-Tilburg University, PO Box 90153, 5000 LE Tilburg, The Netherlands, and Department of Cognitive Neuroscience, Maastricht University, Oxfordlaan 55, 6229 EV Maastricht, The Netherlands.

Social Cognitive and Affective Neuroscience
|November 12, 2013
PubMed
Summary

The brain processes basic emotions like fear, disgust, happiness, and sadness with distinct temporal dynamics. These neural temporal patterns closely mirror subjective emotional experiences, revealing emotion perception as a dynamic network process.

Keywords:
EEGERPIAPSLORETAbasic emotionsrapid perceptiontime

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Affective Science

Background:

  • Understanding the evolutionary role of emotions requires examining their temporal dynamics.
  • The perception of basic emotions from complex scenes involves intricate neural processes.

Purpose of the Study:

  • To investigate the millisecond-level temporal dynamics of perceiving fear, disgust, happiness, and sadness.
  • To correlate neural temporal dynamics with subjective emotional experiences.
  • To map the brain regions involved in time-dependent emotion processing.

Main Methods:

  • Electroencephalography (EEG) for millisecond-time-resolution data acquisition.
  • Computation of event-related potentials to identify emotion-specific temporal profiles.
  • Multidimensional scaling to compare neural dynamics with behavioral data.
  • Low-resolution brain electromagnetic tomography (LORETA) for source localization.

Main Results:

  • Each basic emotion exhibited a unique temporal profile in EEG activity.
  • Fear perception showed the earliest neural activity, followed by disgust, happiness, and sadness.
  • Fear, disgust, and happiness had dual temporal activity segments; sadness had a single, late segment.
  • Neural temporal dynamics strongly correlated with subjective emotional experiences.
  • Brain activation patterns varied by emotion and time segment, with fear/disgust widespread (right-dominant) and happiness/sadness more localized (left-dominant/late latency).

Conclusions:

  • Emotion perception is characterized by dynamic spatiotemporal brain networks operating at millisecond resolution.
  • Neural signatures of basic emotions arise from these dynamic networks, not isolated areas.
  • Psychological emotion categories align with distinct neural temporal dynamics in the brain.