Emily S. Finn is assistant professor of psychological and brain sciences at Dartmouth College, where she directs the Functional Imaging and Naturalistic Neuroscience (FINN) Lab. Finn has pioneered techniques such as functional connectome fingerprinting and connectome-based predictive modeling for predicting individual behaviors from functional brain connectivity. Her current work is focused on how within- and between-individual variability in brain activity relates to appraisal of ambiguous information under naturalistic conditions such as watching movies or listening to stories.
![Headshot of Emily Finn.](https://www.thetransmitter.org/wp-content/uploads/2024/04/300-emily-s-finn.png)
Emily S. Finn
Assistant professor of psychological and brain sciences
Dartmouth College
From this contributor
To improve big data, we need small-scale human imaging studies
By insisting that every brain-behavior association study include hundreds or even thousands of participants, we risk stifling innovation. Smaller studies are essential to test new scanning paradigms.
![Illustration of a hand reaching out to adjust a dial that sits in the middle of several images depicting brain activity and various behaviors.](https://www.thetransmitter.org/wp-content/uploads/2024/04/1200-transmitter-neuroscience-small-scale-imaging-studies-1024x683.webp)
To improve big data, we need small-scale human imaging studies
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