Multi-variate analysis of resting state activity and visually evoked response to natural stimuli to map the representation of information in intrinsic brain activity

The interviews will take place on November 18th, 2020 at 12:30 – CET.

Abstract of the Project

This project aims to understand whether multivariate spatial patterns of activity measured with fMRI evoked by natural visual stimuli (e.g. faces, bodies, etc., presented through images or movies) are also represented in multi-variate spatial patterns of resting-state activity. Previous work has shown that in object-selective category regions of visual cortex (e.g. FFA), multi-vertex resting state activity patterns correlate more strongly, and more frequently, with category selective multi-vertex evoked activity patterns for the specific category (e.g. faces) as compared to other categories (e.g. bodies) (Kim et al. 2020, in press, doi: In this project, we plan to extend this analysis to the whole brain, including other regions like the superior temporal gyrus and the posterior parietal cortex that code for these stimuli. In addition, we plan to test the same hypothesis in a set of movies where the semantic information has been coded frame-by-frame. These studies will test the hypothesis that spontaneous activity patterns do not represent only interregional interactions but also information states that cycle through cortex. Similar experiments could be run with hd-EEG.

Deadline: October 19th, 2020 – h. 13:00 CET