Literature DB >> 35165174

The Neural Representations of Emotional Experiences Are More Similar Than Those of Neutral Experiences.

Martina Riberto1,2, Rony Paz2, Gorana Pobric3, Deborah Talmi4.   

Abstract

Stimuli that evoke the same feelings can nevertheless look different and have different semantic meanings. Although we know much about the neural representation of emotion, the neural underpinnings of emotional similarity are unknown. One possibility is that the same brain regions represent similarity between emotional and neutral stimuli, perhaps with different strengths. Alternatively, emotional similarity could be coded in separate regions, possibly those sensitive to emotional valence and arousal. In behavior, the extent to which people consider similarity along emotional dimensions when they evaluate the overall similarity between stimuli has never been investigated. Although the emotional features of stimuli may dominate explicit ratings of similarity, it is also possible that people neglect emotional dimensions as irrelevant to that judgment. We contrasted these hypotheses in (male and female) healthy controls using two measures of similarity and two picture databases of complex negative and neutral scenes, the second of which provided exquisite control over semantic and visual attributes. The similarity between emotional stimuli was greater than between neutral stimuli in the inferior temporal cortex, the fusiform face area, and the precuneus. Additionally, only the similarity between emotional stimuli was significantly represented in early visual cortex, anterior insula and dorsal anterior cingulate cortex. Intriguingly, despite the stronger neural similarity between emotional stimuli, the same participants did not rate them as more similar to each other than neutral stimuli. These results contribute to our understanding of how emotion is represented within a general conceptual workspace and of the overgeneralization bias in anxiety disorders.SIGNIFICANCE STATEMENT We tested differences in similarity between emotional and neutral scenes. Arousal and negative valence did not increase similarity ratings. When conditions were equated on semantic similarity, participants rated emotional stimuli as similar to each other as neutral ones. Despite this equivalence, the similarity among the neural representations of emotional compared with neutral stimuli was higher in regions, which also expressed similarity between neutral stimuli and in unique regions. We report a striking difference between behavioral and neural similarity; strong neural similarity between emotional pictures did not influence similarity judgements in the same participants in the behavioral rating task after the scan. These findings may have an impact on research about the neural representations of emotional categories and the overgeneralization bias in anxiety disorders.
Copyright © 2022 the authors.

Entities:  

Keywords:  emotions; multivoxels pattern analysis; neural representations; semantic knowledge; similarity judgments

Mesh:

Year:  2022        PMID: 35165174      PMCID: PMC8973424          DOI: 10.1523/JNEUROSCI.1490-21.2022

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.709


  56 in total

1.  A general valence asymmetry in similarity: Good is more alike than bad.

Authors:  Alex Koch; Hans Alves; Tobias Krüger; Christian Unkelbach
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2016-02-11       Impact factor: 3.051

2.  The neural representation of an individualized relational affective space.

Authors:  Seth M Levine; Anja Wackerle; Rainer Rupprecht; Jens V Schwarzbach
Journal:  Neuropsychologia       Date:  2018-10-12       Impact factor: 3.139

3.  Linking Amygdala Persistence to Real-World Emotional Experience and Psychological Well-Being.

Authors:  Nikki A Puccetti; Stacey M Schaefer; Carien M van Reekum; Anthony D Ong; David M Almeida; Carol D Ryff; Richard J Davidson; Aaron S Heller
Journal:  J Neurosci       Date:  2021-03-22       Impact factor: 6.167

4.  A meta-analysis of fMRI decoding: Quantifying influences on human visual population codes.

Authors:  Marc N Coutanche; Sarah H Solomon; Sharon L Thompson-Schill
Journal:  Neuropsychologia       Date:  2016-01-19       Impact factor: 3.139

5.  A Sensitive and Specific Neural Signature for Picture-Induced Negative Affect.

Authors:  Luke J Chang; Peter J Gianaros; Stephen B Manuck; Anjali Krishnan; Tor D Wager
Journal:  PLoS Biol       Date:  2015-06-22       Impact factor: 8.029

6.  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

Review 7.  Examining similarity structure: multidimensional scaling and related approaches in neuroimaging.

Authors:  Svetlana V Shinkareva; Jing Wang; Douglas H Wedell
Journal:  Comput Math Methods Med       Date:  2013-04-15       Impact factor: 2.238

8.  Representational similarity analysis - connecting the branches of systems neuroscience.

Authors:  Nikolaus Kriegeskorte; Marieke Mur; Peter Bandettini
Journal:  Front Syst Neurosci       Date:  2008-11-24

9.  Pattern similarity and connectivity of hippocampal-neocortical regions support empathy for pain.

Authors:  Isabella C Wagner; Markus Rütgen; Claus Lamm
Journal:  Soc Cogn Affect Neurosci       Date:  2020-05-19       Impact factor: 3.436

10.  Distributed affective space represents multiple emotion categories across the human brain.

Authors:  Heini Saarimäki; Lara Farzaneh Ejtehadian; Enrico Glerean; Iiro P Jääskeläinen; Patrik Vuilleumier; Mikko Sams; Lauri Nummenmaa
Journal:  Soc Cogn Affect Neurosci       Date:  2018-05-01       Impact factor: 3.436

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