Nov 5, 2018

Emotionotopy in the Human Right Temporo-Parietal Cortex

BioRxiv : the Preprint Server for Biology
Giada LettieriLuca Cecchetti

Abstract

Humans use emotions to decipher complex cascades of internal events. However, which mechanisms link descriptions of affective states to brain activity is unclear, with evidence supporting either local or distributed processing. A biologically favorable alternative is provided by the notion of gradient, which postulates the isomorphism between functional representations of stimulus features and cortical distance. Here, we use fMRI activity evoked by an emotionally charged movie and continuous ratings of the perceived emotion intensity to reveal the topographic organization of affective states. Results show that three orthogonal and spatially overlapping gradients encode the polarity, complexity and intensity of emotional experiences in right temporo-parietal territories. The spatial arrangement of these gradients allows the brain to map a variety of affective states within a single patch of cortex. As this organization resembles how sensory regions represent psychophysical properties (e.g., retinotopy), we propose emotionotopy as a principle of emotion coding.

  • References
  • Citations

References

  • We're still populating references for this paper, please check back later.
  • References
  • Citations

Citations

  • This paper may not have been cited yet.

Mentioned in this Paper

Temporal and Parietal Lobes
Three-dimensional
Cell Polarity
Spatial Distribution
Brain
Structure of Retromandibular Vein
Anatomical Space Structure
Experience
Structure of Cortex of Kidney
FMRI

About this Paper

Related Feeds

BioRxiv & MedRxiv Preprints

BioRxiv and MedRxiv are the preprint servers for biology and health sciences respectively, operated by Cold Spring Harbor Laboratory. Here are the latest preprint articles (which are not peer-reviewed) from BioRxiv and MedRxiv.

Related Papers

Proceedings of the National Academy of Sciences of the United States of America
Noam Saadon-GrosmanShahar Arzy
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
Lynn UhrigBéchir Jarraya
© 2020 Meta ULC. All rights reserved