Study builds predictive model for how attention fluctuates over time

Study builds predictive model for how attention fluctuates over time
Using brain scans, a new study proposes a model that can predict when someone is paying closer attention—and when their attention might fluctuate. Credit:

Those are the sorts of questions that a University of Chicago neuroscientist asks in an innovative new study—one that examines brain scans to uncover how attention is sustained over time, and when it might fluctuate.

"Maybe in general, we're pretty good at paying attention, or maybe we struggle—but it's not the same all the ," said lead author Monica Rosenberg, an assistant professor in UChicago's Department of Psychology. "We wanted to build a model that could predict a person's attentional state based on what we see in their ."

Published in the Proceedings of the National Academy of Sciences, the study relies on functional MRI data collected for this study as well as data from previous research, combining the results of 107 individuals from five different . By using what Rosenberg calls "green science"—replicating results in data collected for other purposes—the study expands its pool of participants beyond what is usually found in a single lab.

The research examines functional MRI scans of people who performed a computerized task multiple times in one day—watching a stream of images and pressing a button in response to some them—as well as those who performed the same task on different days. It also examines scans of those who have been administered anesthesia, as well as 30 scans of a single individual over the course of 10 months. The participants' ages ranged from 18 to 56.

"If we want to build brain-based models that are applicable in clinical or translational settings, they have to be able to generalize across data sets," said Rosenberg, an expert on attention. "It has to be the case that models don't just predict behavior from data collected on a single hospital scanner from a single group of individuals.

"If a can't predict something about people across different sites and populations, it's less practically useful."

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More information: Monica D. Rosenberg et al. Functional connectivity predicts changes in attention observed across minutes, days, and months, Proceedings of the National Academy of Sciences (2020). DOI: 10.1073/pnas.1912226117
Citation: Study builds predictive model for how attention fluctuates over time (2020, February 21) retrieved 27 October 2021 from
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