Skip to main content

Research Repository

Advanced Search

Effects of face repetition on ventral visual stream connectivity using dynamic causal modelling of fMRI data

Lee, Sung Mu; Tibon, Roni; Zeidman, Peter; Yadav, Pranay S.; Henson, Richard

Effects of face repetition on ventral visual stream connectivity using dynamic causal modelling of fMRI data Thumbnail


Authors

Sung Mu Lee

RONI TIBON Roni.Tibon@nottingham.ac.uk
Assistant Professor in Psychology

Peter Zeidman

Pranay S. Yadav

Richard Henson



Abstract

Stimulus repetition normally causes reduced neural activity in brain regions that process that stimulus. Some theories claim that this “repetition suppression” reflects local mechanisms such as neuronal fatigue or sharpening within a region, whereas other theories claim that it results from changed connectivity between regions, following changes in synchrony or top-down predictions. In this study, we applied dynamic causal modeling (DCM) on a public fMRI dataset involving repeated presentations of faces and scrambled faces to test whether repetition affected local (self-connections) and/or between-region connectivity in left and right early visual cortex (EVC), occipital face area (OFA) and fusiform face area (FFA). Face “perception” (faces versus scrambled faces) modulated nearly all connections, within and between regions, including direct connections from EVC to FFA, supporting a non-hierarchical view of face processing. Face “recognition” (familiar versus unfamiliar faces) modulated connections between EVC and OFA/FFA, particularly in the left hemisphere. Most importantly, immediate and delayed repetition of stimuli were also best captured by modulations of connections between EVC and OFA/FFA, but not self-connections of OFA/FFA, consistent with synchronization or predictive coding theories, though also possibly reflecting local mechanisms like synaptic depression.

Citation

Lee, S. M., Tibon, R., Zeidman, P., Yadav, P. S., & Henson, R. (2022). Effects of face repetition on ventral visual stream connectivity using dynamic causal modelling of fMRI data. NeuroImage, 264, Article 119708. https://doi.org/10.1016/j.neuroimage.2022.119708

Journal Article Type Article
Acceptance Date Oct 20, 2022
Online Publication Date Oct 27, 2022
Publication Date Dec 1, 2022
Deposit Date Nov 2, 2022
Publicly Available Date Nov 4, 2022
Journal NeuroImage
Print ISSN 1053-8119
Electronic ISSN 1095-9572
Publisher Elsevier BV
Peer Reviewed Peer Reviewed
Volume 264
Article Number 119708
DOI https://doi.org/10.1016/j.neuroimage.2022.119708
Keywords Cognitive Neuroscience; Neurology
Public URL https://nottingham-repository.worktribe.com/output/13166054
Publisher URL https://www.sciencedirect.com/science/article/pii/S1053811922008291?via%3Dihub

Files




You might also like



Downloadable Citations