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Related Concept Videos

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Cognition plays a pivotal role in shaping emotional experiences, as demonstrated by Schachter and Singer’s two-factor theory of emotion. According to this model, emotion arises from a combination of physiological arousal and cognitive interpretation. The body’s physiological response to stimuli is ambiguous and only gains emotional significance through cognitive labeling. For instance, an increased heart rate and adrenaline surge while standing near an attractive person may be...
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Affective mapping: An activation likelihood estimation (ALE) meta-analysis.

Lauren A J Kirby1, Jennifer L Robinson2

  • 1Department of Psychology, Auburn University, Auburn, AL 36849, United States.

Brain and Cognition
|June 16, 2015
PubMed
Summary
This summary is machine-generated.

This study used activation likelihood estimation (ALE) to map brain regions involved in seven emotions. Key findings reveal distinct neural networks for emotions, with the amygdala and right inferior frontal gyrus showing consistent activation across multiple affective states.

Keywords:
Activation likelihood estimationAffect programsBrainmapEmotionNeuroimagingfMRI

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Neuroimaging

Background:

  • Functional neuroimaging offers high spatial resolution for understanding the neural basis of emotions.
  • Activation Likelihood Estimation (ALE) provides a quantitative approach to meta-analysis of neuroimaging studies, unlike traditional qualitative methods.
  • Previous ALE studies on emotions have not utilized the comprehensive BrainMap database.

Purpose of the Study:

  • To conduct separate ALE meta-analyses for seven distinct emotions (anger, anxiety, disgust, fear, happiness, humor, sadness) using the BrainMap database.
  • To compare resultant ALE maps to identify overlapping and distinct neural networks across different emotional states.
  • To identify potential emotional processing hubs and affect-specific neural circuits.

Main Methods:

  • Utilized the BrainMap database and its analysis resources for meta-analysis.
  • Performed separate ALE meta-analyses on neuroimaging coordinates reported for anger, anxiety, disgust, fear, happiness, humor, and sadness.
  • Compared the resulting ALE maps to identify areas of convergence and divergence between emotions.

Main Results:

  • Five of the seven investigated emotions showed consistent activation in the amygdala.
  • All seven emotions consistently activated the right inferior frontal gyrus, suggesting its role as an emotional and cognitive integration hub.
  • Identified distinct patterns of brain activation that may represent affect-specific neural networks.

Conclusions:

  • The study provides a framework for understanding affect-specific neural networks and identifies key emotional processing hubs.
  • Findings highlight the amygdala and right inferior frontal gyrus as critical regions in emotional processing.
  • The results can inform future research on functional and effective connectivity within emotional circuits.