Indiana University Indiana University IU

Event: IUNI Lunch Colloquium: Network Neuroscience


Join us for talks, lunch, and catching up with networks researchers at IU



Friday, Sep 23rd 2022 at 11:45 AM - 1:30 PM
Dorsey Learning Hall (Luddy 1106)


Speakers: Olaf Sporns, Rick Betzel, Jenya Chumin, Caio Seguin, Maria Grazia Puxeddu

The video recording is now available.

Titles and Abstracts

Olaf Sporns

Network Neuroscience: A (Very) Brief Introduction. In my presentation I will provide a very brief introduction to the emerging field of network neuroscience - an interdisciplinary research area that investigates the structure and function of brain networks.  I will introduce basic terms and concepts such as 'structural' and 'functional' connectivity and give a short history and overview of the concept of the "human connectome."

Rick Betzel

TBA

Jenya Chumin

Cortico-subcortical interactions in overlapping communities of edge functional connectivity. Moving beyond pairwise interactions in brain networks, I will present my work on using edge functional connectivity and modularity to study communication between the cortex and subcortex. From edge community structure, I define triad motifs between a subcortical and two cortical nodes to investigate their interactions in the Human Connectome Project dataset.

Maria Grazia Puxeddu

Multi-modal and multi-subject modular organization of human brain networks. The relationship between structural and functional brain networks is a core topic in network neuroscience. I will present an extension of multi-layer modularity maximization designed to investigate this relationship. I will show how the modularity matrix can be modified to simultaneously detect modules across subjects and connection modalities.

Caio Seguin

Modeling communication in brain networks. A fundamental function of brain networks is to support communication between neural elements. In this talk, I will provide a brief introduction to network models aimed at describing how signals are propagated through the brain's complex anatomical connectivity. I will discuss how these models can be applied to predict global effects of focal, direct electrical stimulation of the human brain.