Study Brain Network Function Using a Systematic, Multi-Modal Approach

The brain is a highly inter-connected system. Resting-state functional magnetic resonance imaging (rsfMRI) provides a powerful tool to characterize the organization of whole-brain networks. However, several intrinsic issues have limited the potentials of rsfMRI from being fully realized. In this presentation I will discuss these issues, and demonstrate that they can be partially solved by integrating rsfMRI with cutting-edge neurotechnology such as optogenetics/chemogenetics, electrophysiology and behavioral methods, which allow the causal relationship to be derived when studying brain network function. 

Dr. Nanyin Zhang is Professor of Biomedical Engineering at the Pennsylvania State University (PSU). He is currently Fellow of the American Institute for Medical and Biological Engineering (AIMBE), and Fellow of the International Academy of Medical and Biological Engineers (IAMBE). He is also the founding and current director of the Center for Neurotechnology in Mental Health Research at PSU. His work has been focused on development and application of neural engineering/neuroimaging methods. His lab has established a platform that integrates neuroimaging, electrophysiology, optogenetics, chemogenetics, and behavioral methods in rodent models. This platform allows for precise modulation and monitoring of brain network activity, which provides a powerful tool to decipher brain network function.