Visualization of brain connectomics data

Researcher: Chengtao Ji, MSc (PhD student)

Expected thesis defense: 2018

First promotor: Prof. Jos Roerdink, PhD (Computer Sciences, RuG)

Collaborators: Jasper van de Gronde, PhD

Funding: CSC

An electroencephalography (EEG) coherence network is a representation of functional brain connectivity, and is constructed by calculating the coherence between pairs of electrode signals as a function of frequency. Visualization of coherence networks can provide insight into unexpected patterns of cognitive processing and help neuroscientists understand brain mechanisms. However, most studies have been limited to static EEG coherence networks or were focused on individual network nodes. In this project, we develop new methods for visualizing the evolution of networks to gain a more complete understanding of EEG coherence and other brain connectivity networks.

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