Unknown

Dataset Information

0

Comparing three models of arousal in the human brain.


ABSTRACT: The bipolar valence-arousal model is assumed by many to be an underlying structure of conscious experience of core affect and emotion. In this work, we compare three versions of the bipolar valence-arousal model at the neural domain, using functional magnetic resonance imaging (fMRI). Specifically, we systematically contrast three models of arousal: model 1-'arousal as a separate quale from valence', model 2-'arousal as intensity of bipolar valence' and model 3-'arousal as a linear combination of unipolar pleasant and unpleasant'. Using parametric modulation analysis, we estimated the ability of each model to predict activation in arousal-related brain regions, in response to affective stimuli. The results suggest that arousal is not separable from valence in its ability to predict arousal-related neural activity. The relevance of the results to the theory of conscious affect is discussed.

SUBMITTER: Haj-Ali H 

PROVIDER: S-EPMC7171372 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

altmetric image

Publications

Comparing three models of arousal in the human brain.

Haj-Ali Hadeel H   Anderson Adam K AK   Kron Assaf A  

Social cognitive and affective neuroscience 20200101 1


The bipolar valence-arousal model is assumed by many to be an underlying structure of conscious experience of core affect and emotion. In this work, we compare three versions of the bipolar valence-arousal model at the neural domain, using functional magnetic resonance imaging (fMRI). Specifically, we systematically contrast three models of arousal: model 1-'arousal as a separate quale from valence', model 2-'arousal as intensity of bipolar valence' and model 3-'arousal as a linear combination o  ...[more]

Similar Datasets

| S-EPMC7572715 | biostudies-literature
| S-EPMC3219623 | biostudies-literature
| S-EPMC4843437 | biostudies-other
| S-EPMC9073696 | biostudies-literature
2016-09-06 | GSE75403 | GEO
2016-09-06 | GSE75121 | GEO
| S-EPMC7314886 | biostudies-literature
| S-EPMC8914100 | biostudies-literature
| S-EPMC10789206 | biostudies-literature
| S-EPMC8727825 | biostudies-literature