Li-Wei Kuo

In this educational talk, I will introduce the methodologies and analysis approaches of functional MRI (fMRI) data for mapping the functional connectomics. The methods to calculate the functional connectivity using resting-state or task-based fMRI data and how it can be used for deriving the brain network metrics using graph theoretical analysis or other computational methods will be reviewed. Furthermore, recent technological advances for mapping the functional connectomics and their use on clinical and cognitive neuroscience applications will be also introduced and discussed.

Zhifeng Liang

Resting-state fMRI and resting-state functional connectivity have been widely utilized for more than two decades. However, the neural basis of functional connectivity remains an open question. In this talk, we will first review techniques that can be utilized to address this issue, such multimodal fMRI and optical imaging methods. Next we will review the neural basis of spontaneous hemodynamic signals at the local level, and then the neural basis of long-range functional connectivity. Importantly, we will further discuss how arousal states and the neuromodulatory system further complicates our understanding of the neural basis of functional connectivity.    

Shella Keilholz

Resting state fMRI studies in humans can be difficult to interpret because the BOLD signal is affected by neural activity, metabolism, and hemodynamics. Multimodal preclinical studies in rodents can guide the interpretation of resting state fMRI studies in humans. This educational course will describe features of rs-fMRI that are conserved across species, compare and contrast acquisition and analysis methods, and describe tools that can be used for investigating the neurophysiology behind rs-fMRI in rodents.

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