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.
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.
To improve big data, we need small-scale human imaging studies
Explore more from The Transmitter
In memoriam: Kevin Dunbar, who traced the neural basis of human reasoning
Using imaging technologies, he transformed our understanding of how creativity and scientific discovery arise in the brain.
In memoriam: Kevin Dunbar, who traced the neural basis of human reasoning
Using imaging technologies, he transformed our understanding of how creativity and scientific discovery arise in the brain.
Neurons engage in risky, DNA-breaking business during migration
The cells later repair the damage, which occurs mostly in transcriptionally silent parts of the genome.
Neurons engage in risky, DNA-breaking business during migration
The cells later repair the damage, which occurs mostly in transcriptionally silent parts of the genome.
Study questions DSM-5’s combining of autism traits
Sensory traits and restricted and repetitive behaviors are best understood as distinct but related characteristics, the new work suggests.
Study questions DSM-5’s combining of autism traits
Sensory traits and restricted and repetitive behaviors are best understood as distinct but related characteristics, the new work suggests.