Kevin S. LaBar

Dr. Kevin S. LaBar

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Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2006 in Nature Reviews Neuroscience
Verified
Journal Article
Closed access
KLKevin S. LaBar
Kevin S. LaBar
RCRoberto Cabeza
Roberto Cabeza

1 June 2016 in Trends in Cognitive Sciences
Verified
Journal Article
Closed access
PKPhilip A. Kragel
Philip A. Kragel
KLKevin S. LaBar
Kevin S. LaBar

23 July 2007 in Developmental Science
Verified
Journal Article
Closed access
PDF file
LTLaura A. Thomas
Laura A. Thomas
MBMichael D. De Bellis
Michael D. De Bellis
RGReiko Graham
Reiko Graham
KLKevin S. LaBar
Kevin S. LaBar

25 March 2015 in Social Cognitive and Affective Neuroscience
Verified
Journal Article
Open access
PDF file
PKPhilip A. Kragel
Philip A. Kragel
KLKevin S. LaBar
Kevin S. LaBar
Understanding how emotions are represented neurally is a central aim of affective neuroscience. Despite decades of neuroimaging efforts addressing this question, it remains unclear whether emotions are represented as distinct entities, as predicted by categorical theories, or are constructed from a smaller set of underlying factors, as predicted by dimensional accounts. Here, we capitalize on multivariate statistical approaches and computational modeling to directly evaluate these theoretical perspectives. We elicited discrete emotional states using music and films during functional magnetic resonance imaging scanning. Distinct patterns of neural activation predicted the emotion category of stimuli and tracked subjective experience. Bayesian model comparison revealed that combining dimensional and categorical models of emotion best characterized the information content of activation patterns. Surprisingly, categorical and dimensional aspects of emotion experience captured unique and opposing sources of neural information. These results indicate that diverse emotional states are poorly differentiated by simple models of valence and arousal, and that activity within separable neural systems can be mapped to unique emotion categories.

1 April 2011 in NeuroImage
Verified
Journal Article
Closed access
JDJoseph E. Dunsmoor
Joseph E. Dunsmoor
SPSteven Prince
Steven Prince
VMVishnu P. Murty
Vishnu P. Murty
PKPhilip A. Kragel
Philip A. Kragel
KLKevin S. LaBar
Kevin S. LaBar

1 January 2010 in Frontiers in Human Neuroscience
Verified
Journal Article
Open access
JHJasmeet Pannu Hayes
Jasmeet Pannu Hayes
RMRajendra Morey
Rajendra Morey
CPChristopher M. Petty
Christopher M. Petty
SSSrishti Seth
Srishti Seth
MSMoria J. Smoski
Moria J. Smoski
KLKevin S. LaBar
Kevin S. LaBar
During times of emotional stress, individuals often engage in emotion regulation to reduce the experiential and physiological impact of negative emotions. Interestingly, emotion regulation strategies also influence memory encoding of the event. Cognitive reappraisal is associated with enhanced memory while expressive suppression is associated with impaired explicit memory of the emotional event. However, the mechanism by which these emotion regulation strategies affect memory is unclear. We used event-related fMRI to investigate the neural mechanisms that give rise to memory formation during emotion regulation. Twenty-five participants viewed negative pictures while alternately engaging in cognitive reappraisal, expressive suppression, or passive viewing. As part of the subsequent memory design, participants returned to the laboratory two weeks later for a surprise memory test. Behavioral results showed a reduction in negative affect and a retention advantage for reappraised stimuli relative to the other conditions. Imaging results showed that successful encoding during reappraisal was uniquely associated with greater co-activation of the left inferior frontal gyrus, amygdala, and hippocampus, suggesting a possible role for elaborative encoding of negative memories. This study provides neurobehavioral evidence that engaging in cognitive reappraisal is advantageous to both affective and mnemonic processes.