Rapid Extraction of Emotion Regularities from Complex Scenes in the Human Brain

Antonio Schettino; Christopher Gundlach; Matthias M. Müller

doi:10.1525/collabra.226

journal article Open Access Jan 01, 2019

Rapid Extraction of Emotion Regularities from Complex Scenes in the Human Brain

Antonio Schettino

Christopher Gundlach Matthias M. Müller

Collabra: Psychology Vol. 5 No. 1 · University of California Press

View at Publisher Save 10.1525/collabra.226

Abstract

Adaptive behavior requires the rapid extraction of behaviorally relevant information in the environment, with particular emphasis on emotional cues. However, the speed of emotional feature extraction from complex visual environments is largely undetermined. Here we use objective electrophysiological recordings in combination with frequency tagging to demonstrate that the extraction of emotional information from neutral, pleasant, or unpleasant naturalistic scenes can be completed at a presentation speed of 167 ms (i.e., 6 Hz) under high perceptual load. Emotional compared to neutral pictures evoked enhanced electrophysiological responses with distinct topographical activation patterns originating from different neural sources. Cortical facilitation in early visual cortex was also more pronounced for scenes with pleasant compared to unpleasant or neutral content, suggesting a positivity offset mechanism dominating under conditions of rapid scene processing. These results significantly advance our knowledge of complex scene processing in demonstrating rapid integrative content identification, particularly for emotional cues relevant for adaptive behavior in complex environments.

Topics

No keywords indexed for this article. Browse by subject →

References

165

[1]

"Neural systems for recognizing emotion" Current Opinion in Neurobiology (2002) 10.1016/s0959-4388(02)00301-x

[2]

Akima,H., &Gebhardt,A. (2016).akima: Interpolation of Irregularly and Regularly Spaced Data. Retrieved fromhttps://CRAN.R-project.org/package=akima

[3]

"The 6 Hz fundamental stimulation frequency rate for individual face discrimination in the right occipito-temporal cortex" Neuropsychologia (2013) 10.1016/j.neuropsychologia.2013.08.018

[4]

Arnold,J. B. (2017).ggthemes: Extra Themes, Scales and Geoms for “ggplot2.” Retrieved fromhttps://CRAN.R-project.org/package=ggthemes

[5]

"Individual differences in positivity offset and negativity bias: Gender-specific associations with two serotonin receptor genes" Personality and Individual Differences (2013) 10.1016/j.paid.2013.04.009

[6]

Auguie,B. (2017).gridExtra: Miscellaneous Functions for “Grid” Graphics. Retrieved fromhttps://CRAN.R-project.org/package=gridExtra

[7]

Bache,S. M., &Wickham,H. (2014).magrittr: A Forward-Pipe Operator for R. Retrieved fromhttps://CRAN.R-project.org/package=magrittr

[8]

"See it with feeling: affective predictions during object perception" Philosophical Transactions of the Royal Society B: Biological Sciences (2009) 10.1098/rstb.2008.0312

[9]

"Attentional bias to affective faces and complex IAPS images in early visual cortex follows emotional cue extraction" NeuroImage (2015) 10.1016/j.neuroimage.2015.03.052

[10]

"Affective facilitation of early visual cortex during rapid picture presentation at 6 and 15 Hz" Social Cognitive and Affective Neuroscience (2015) 10.1093/scan/nsv058

[11]

"The neural signature of extracting emotional content from rapid visual streams at multiple presentation rates: A cross-laboratory study" Psychophysiology (2018) 10.1111/psyp.13222

[12]

"Source reconstruction accuracy of MEG and EEG Bayesian inversion approaches" PloS One (2012) 10.1371/journal.pone.0051985

[13]

Measuring emotion: The self-assessment manikin and the semantic differential

Margaret M. Bradley, Peter J. Lang

Journal of Behavior Therapy and Experimental Psych... 1994 10.1016/0005-7916(94)90063-9

[14]

Activation of the Visual Cortex in Motivated Attention (2003) 10.1037/0735-7044.117.2.369

[15]

"Automatic bias of temporal expectations following temporally regular input independently of high-level temporal expectation" Journal of Cognitive Neuroscience (2014) 10.1162/jocn_a_00564

[16]

"Region of interest analysis using an SPM toolbox [abstract]" (2002)

[17]

"Facial expressions and complex IAPS pictures: common and differential networks" NeuroImage (2006) 10.1016/j.neuroimage.2005.12.050

[18]

"Beyond faces and modularity: the power of an expertise framework" Trends in Cognitive Sciences (2006) 10.1016/j.tics.2006.02.004

[19]

"Individual differences in positive and negative interpretive biases" Personality and Individual Differences (1993) 10.1016/0191-8869(93)90100-h

[20]

"Relationship between Attitudes and Evaluative Space: A Critical Review, with Emphasis on the Separability of Positive and Negative Substrates" Psychological Bulletin (1994) 10.1037/0033-2909.115.3.401

[21]

"Emotion" Annual Review of Psychology (1999) 10.1146/annurev.psych.50.1.191

[22]

"Beyond Bipolar Conceptualizations and Measures: The Case of Attitudes and Evaluative Space" Personality and Social Psychology Review (1997) 10.1207/s15327957pspr0101_2

[23]

"Understanding the recognition of facial identity and facial expression" Nature Reviews. Neuroscience (2005) 10.1038/nrn1724

[24]

"Dynamics of visual recognition revealed by fMRI" Neuroimage (2006) 10.1016/j.neuroimage.2006.03.059

[25]

Exogenous (automatic) attention to emotional stimuli: a review

Luis Carretié

Cognitive, Affective, & Behavioral Neuroscienc... 2014 10.3758/s13415-014-0270-2

[26]

"Two-Mode Models of Self-Regulation as a Tool for Conceptualizing Effects of the Serotonin System in Normal Behavior and Diverse Disorders" Current Directions in Psychological Science (2009) 10.1111/j.1467-8721.2009.01635.x

[27]

"Unmasking emotion: Exposure duration and emotional engagement" Psychophysiology (2009) 10.1111/j.1469-8986.2009.00804.x

[28]

"Temporal and spatial neural dynamics in the perception of basic emotions from complex scenes" Social Cognitive and Affective Neuroscience (2014) 10.1093/scan/nst164

[29]

"Bias and learning in temporal binding: intervals between actions and outcomes are compressed by prior bias" Consciousness and Cognition (2013) 10.1016/j.concog.2013.08.001

[30]

"Rotating objects to determine orientation, not identity: evidence from a backward-masking/dual-task procedure" Perception & Psychophysics (2000) 10.3758/bf03212138

[31]

EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis

Arnaud Delorme, Scott Makeig

Journal of Neuroscience Methods 2004 10.1016/j.jneumeth.2003.10.009

[32]

Neural Mechanisms of Selective Visual Attention

Robert Desimone, John Duncan

Annual Review of Neuroscience 1995 10.1146/annurev.ne.18.030195.001205

[33]

Attentional Modulation of SSVEP Power Depends on the Network Tagged by the Flicker Frequency

Jian Ding, George Sperling, Ramesh Srinivasan

Cerebral Cortex 2006 10.1093/cercor/bhj044

[34]

"At a Single Glance: Fast Periodic Visual Stimulation Uncovers the Spatio-Temporal Dynamics of Brief Facial Expression Changes in the Human Brain" Cerebral Cortex (2017) 10.1093/cercor/bhw223

[35]

"A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data" NeuroImage (2005) 10.1016/j.neuroimage.2004.12.034

[36]

"A limit to the speed of processing in ultra-rapid visual categorization of novel natural scenes" Journal of Cognitive Neuroscience (2001) 10.1162/089892901564234

[37]

(2012)

[38]

Robust statistical methods: A primer for clinical psychology and experimental psychopathology researchers

Andy P. Field, Rand R. Wilcox

Behaviour Research and Therapy 2017 10.1016/j.brat.2017.05.013

[39]

"The evolutionary emergence of what we call “emotions.”" Cognition & Emotion (2016) 10.1080/02699931.2016.1145106

[40]

"Multiple sparse priors for the M/EEG inverse problem" NeuroImage (2008) 10.1016/j.neuroimage.2007.09.048

[41]

"Role of facial expressions in social interactions" Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences (2009) 10.1098/rstb.2009.0142

[42]

"Effect size estimates: current use, calculations, and interpretation" Journal of Experimental Psychology. General (2012) 10.1037/a0024338

[43]

"The development of face expertise" Current Opinion in Neurobiology (2001) 10.1016/s0959-4388(00)00200-2

[44]

Gerlanc,D., &Kirby,K. (2015).bootES: Bootstrap Effect Sizes. Retrieved fromhttps://CRAN.R-project.org/package=bootES

[45]

"Twice the Negativity Bias and Half the Positivity Offset: Evaluative Responses to Emotional Information in Depression" Journal of Behavior Therapy and Experimental Psychiatry (2016) 10.1016/j.jbtep.2015.09.005

[46]

Review on solving the inverse problem in EEG source analysis

Roberta Grech, Tracey Cassar, Joseph Muscat et al.

Journal of NeuroEngineering and Rehabilitation 2008 10.1186/1743-0003-5-25

[47]

The lateral occipital complex and its role in object recognition

Kalanit Grill-Spector, Zoe Kourtzi, Nancy Kanwisher

Vision Research 2001 10.1016/s0042-6989(01)00073-6

[48]

The dynamics of object-selective activation correlate with recognition performance in humans

Kalanit Grill-Spector, Tammar Kushnir, Talma Hendler et al.

Nature Neuroscience 2000 10.1038/77754

[49]

Gross,J., &Ligges,U. (2015).nortest: Tests for Normality. Retrieved fromhttps://CRAN.R-project.org/package=nortest

[50]

"Perception of illusory contours forms intermodulation responses of steady state visual evoked potentials as a neural signature of spatial integration" Biological Psychology (2013) 10.1016/j.biopsycho.2013.04.014

Showing 50 of 165 references

Metrics

9

Citations

165

References

Details

Published: Jan 01, 2019
Vol/Issue: 5(1)
License: View

Authors

A

Antonio Schettino

Department of Experimental-Clinical and Health Psychology, Ghent University, 9000 Ghent, BE; Institute for Globally Distributed Open Research and Education (IGDORE), ID; Co-first authors

C

Christopher Gundlach

Institute of Psychology, University of Leipzig, Leipzig, DE; Co-first authors

M

Matthias M. Müller

Institute of Psychology, University of Leipzig, Leipzig, DE

Cite This Article

Antonio Schettino, Christopher Gundlach, Matthias M. Müller (2019). Rapid Extraction of Emotion Regularities from Complex Scenes in the Human Brain. Collabra: Psychology, 5(1). https://doi.org/10.1525/collabra.226

Rapid Extraction of Emotion Regularities from Complex Scenes in the Human Brain

You May Also Like