EEG frequency tagging reveals neural processing difference between hemispheres during biological motion synchrony-asynchrony

2021-2022 Spring
Faculty Department of Project Supervisor: 
Faculty of Arts & Social Sciences
Number of Students: 

Previous studies either focused on higher level of motion perception (reciprocal movement) or low-level motion coherence and showed an enhanced interhemispheric integration of coherent motion (Sousa et al., 2019). However, there is gap in the literature about intermediate processing level where the perception of motion synchrony and human quality occurs at. It is lower than the processing of social interaction and higher than motion coherence. Recent study also suggested that there is an independent neural process for synchronous motion and human quality (Alp et al., 2017). Here we further investigate whether motion synchrony of human configuration leads to a hemispheric advantage similar to coherent motion. Our aim is to find whether there is a hemispheric difference in processing inter-item motion synchrony. In this regard, we will compare EEG signals of within hemisphere synchronous motion with between hemisphere synchronous motion by using EEG frequency tagging method.
This project is in the very early stage. By joining this project, you will contribute to the development of experimental setup (coding on Python), implementation of EEG method, testing participants and data collection, the data analysis, and interpretation of neural data.

Related Areas of Project: 
Computer Science and Engineering
Molecular Biology, Genetics and Bioengineering
Electronics Engineering

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