Next, we looked at spatiotemporal characteristics of these representations. fMRI-EEG fusion data suggest that striate and extrastriate areas along the lateral visual pathway encode lower-level visual and body-related properties, and that contextual and semantic information is integrated in the LOTC.

First, we examined the temporal order in which action-related features emerge using EEG-based representational similarity analysis. Results suggest a temporally ordered hierarchical buildup of neural representations related to visual, contextual, body-related, and semantic action information.

Recognizing actions requires us to extract abstract information from highly individual and flexible features of concrete actions. Here we investigated the spatiotemporal dynamics of (some of) these features using EEG-based RSA and fMRI-EEG fusion.

4/n fMRI-EEG fusion analysis suggest that striate and extrastriate area along the lateral visual pathway encode lower-level visual and body-related properties of actions, and further, that contextual and semantic information is subsequently integrated in the LOTC

3/n Multiple-regression RSA suggests a temporally ordered hierarchical buildup of neural representations related to visual, contextual, body-related, and semantic information during the recognition of actions.

2/n We combined representational similarity analysis of new recordings of EEG data during an action recognition paradigm with recent fMRI recordings in an fMRI-EEG fusion approach. This allowed us to characterize the spatiotemporal dynamics of neural representations.

Delighted to share our new preprint where we provide a spatiotemporal characterization of the neural processes enabling us to recognize goal-directed actions.
🧵 1/n

With Angelika Lingnau @uniregensburg.bsky.social

Link: osf.io/preprints/os...

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