Network science provides powerful access to essential organizational principles of the
human brain. It has been applied in combination with graph theory to characterize brain …

Structural neuroimaging of athletes who have sustained a sports-related concussion (SRC)
can be viewed as either standard clinical imaging or with advanced neuroimaging methods …

This book explores various state-of-the-art aspects behind the statistical analysis of
neuroimaging data. It examines the development of novel statistical approaches to model …

A central question in neuroscience is how self-organizing dynamic interactions in the brain
emerge on their relatively static structural backbone. Due to the complexity of spatial and …

A long-standing challenge in multimodal brain network analyses is to integrate topologically
different brain networks obtained from diffusion and functional MRI in a coherent statistical …

This paper proposes a novel topological learning framework that integrates networks of
different sizes and topology through persistent homology. Such challenging task is made …

This short survey reviews the recent literature on the relationship between the brain structure
and its functional dynamics. Imaging techniques such as diffusion tensor imaging (DTI) …

Despite the potential for better understanding functional neuroanatomy, the complex
relationship between neuroimaging measures of brain structure and function has …

The brain is a complex system with functional and structural networks. Different
neuroimaging methods have been developed to explore these networks, but each method …

Learning brain effective connectivity (EC) networks from functional magnetic resonance
imaging (fMRI) data has become a new hot topic in the neuroinformatics field. However, how …