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
Federal funding cuts imperil next generation of autism researchers
As the International Society for Autism Research’s annual meeting begins, its next president reflects on a brewing crisis.

Federal funding cuts imperil next generation of autism researchers
As the International Society for Autism Research’s annual meeting begins, its next president reflects on a brewing crisis.
Null and Noteworthy: Reanalysis contradicts report of immune memory in astrocytes
The analysis, which has not yet been peer reviewed, attributes the finding to misidentified immune cells instead.

Null and Noteworthy: Reanalysis contradicts report of immune memory in astrocytes
The analysis, which has not yet been peer reviewed, attributes the finding to misidentified immune cells instead.
Documenting decades of autism prevalence; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 28 April.

Documenting decades of autism prevalence; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 28 April.