We would like to announce a special issue of Frontiers in Neuroscience titled “Advances in brain func/onal and structural networks modeling via graph theory,”

https://www.frontiersin.org/research-topics/20135/advances-in-brain-functional-and-structural-networks-modeling-via-graph-theory

The aims of this Research Topic are to advance the current understanding of the brain modeled as a mathematical network, develop new and advanced methods capturing the graph relationship between function and structure, propose new analysis methods of brain time series explicitly grounded on underlying structural network, and ultimately apply the resulting knowledge to brain disease and further foster the understanding of the brain’s underlying configuration and dynamics. We welcome submissions focusing on but not limited to the following topics:

- Application of tools such as machine learning, deep learning and convolutional neural
network to functional imaging data from fMRI to EEG to predict function from structure.
- Study of graph properties of structural or functional networks in healthy and non-healthy brains.
- Graph signal processing and harmonic analysis applied to brain networks.
- Novel methods and modalities for constructing functional and structural networks.

Farras Abdelnour
Amy Kuceyeski
Ashish Raj
Yasser Iturria Medina
Samuel Deslauriers-Gauthier

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