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Dr. Rosenberg received her Ph.D. from the department of Psychology at Yale University, where she also carried out her post doc. In 2019, she started as an assistant professor in the Department of Psychology at the University of Chicago and is a member of the Chicago Neuroscience Institute. She has been pioneering the use of connectome-based predictive modeling to capture individual differences in the ability to sustain attention. Attention is fundamental to just about everything that we experience and do and how we navigate the world. It varies over time and each person has different abilities to maintain it. Monica has developed and used extensively a task known as gradCPT, an easy at first but hard to sustain, continuous attention task that allows moment to moment assessment of sustained attention. She has found two networks that characterize high attention vs lower attention, and these have been powerful for characterizing individuals ability to sustain attention. It's also been useful for characterizing differences in such attention-related skills such as reading comprehension. She's been delving further into both fMRI methodology and the nuances of attention ever since.

In this conversation we talk about her career development, the great environment at Yale, the development of her exciting and impactful fMRI-based human attention research. We hope you enjoy the conversation!

Episode producers:
Omer Faruk Gulban