SANS 2019: Emily Finn, ”Predicting behavioral phenotypes from brain activity during naturalistic...” скачать в хорошем качестве

SANS 2019: Emily Finn, ”Predicting behavioral phenotypes from brain activity during naturalistic...”

Social and Affective Neuroscience Conference 2019 Symposium 5: Social Neuroinformatics and Big Data Emily Finn, Predicting behavioral phenotypes from brain activity during naturalistic viewing Naturalistic neuroimaging paradigms,such as having subjects watch a movie or listen to a story in the scanner, allow researchers to better probe the complexities of real-world cognition, and yield rich datasets that can be analyzed using a number of innovative approaches. I will discuss recent large-scale datasets and data sharing efforts that include naturalistic paradigms, and the advantages of using such paradigms relative to either traditional cognitive tasks or resting-state acquisitions. While naturalistic neuroimaging studies have traditionally focused on the striking consistency of stimulus-evoked activity across brains, recent evidence suggests that these paradigms also have great potential to reveal meaningful individual differences. I will share results from our recent work to develop and apply novel, data-driven analysis methods to reveal patterns of brain activity during naturalistic viewing that reflect trait-level individual differences in personality and cognition.