Decoding the Nature of Emotion in the Brain.

Journal Article (Review)

A central, unresolved problem in affective neuroscience is understanding how emotions are represented in nervous system activity. After prior localization approaches largely failed, researchers began applying multivariate statistical tools to reconceptualize how emotion constructs might be embedded in large-scale brain networks. Findings from pattern analyses of neuroimaging data show that affective dimensions and emotion categories are uniquely represented in the activity of distributed neural systems that span cortical and subcortical regions. Results from multiple-category decoding studies are incompatible with theories postulating that specific emotions emerge from the neural coding of valence and arousal. This 'new look' into emotion representation promises to improve and reformulate neurobiological models of affect.

Full Text

Duke Authors

Cited Authors

  • Kragel, PA; LaBar, KS

Published Date

  • June 2016

Published In

Volume / Issue

  • 20 / 6

Start / End Page

  • 444 - 455

PubMed ID

  • 27133227

Electronic International Standard Serial Number (EISSN)

  • 1879-307X

International Standard Serial Number (ISSN)

  • 1364-6613

Digital Object Identifier (DOI)

  • 10.1016/j.tics.2016.03.011

Language

  • eng