Selected Publications

We examine network re-organization when people view the same movies in repeated presentations. We find the brain's functional configurations adapt not only by the strength of individual connections but by topological organization.
In Neuroimage

We examined global features of whole-brain functional connectivity to inputs with varying disorder. Modularity, module numbers, and partition similarity varied with input disorder. Default-mode and sensory brain regions were least impacted by the manipulation.
In Neuroimage

We used a method based on graph kernels to discriminate two types of auditory stimuli in fMRI data. We show that the discriminating information comes from topological features of the graphs and from relational pattersn in the neighborhood of each node. In addition, we examine two different ways to represent graphs, as well as the influence of noisy connections in our graphs along with a possible way to alleviate their impact.
In IEEE

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Projects

Network connectivity and organization

Research on network organiztaion of brain function and anatomy.

Brain, Language, Cognition

Investigations into brain function function in higher order cognitive tasks like language.

Computational Neuroscience Applications Research Infrastructure (CNARI)

Developing a powerful computational infrastructure for neuroimaging and neuroinformatics research.