Multiple brain activation patterns for the same perceptual decision-making task

Johan Nakuci (), Jiwon Yeon, Nadia Haddara, Ji-Hyun Kim, Sung-Phil Kim and Dobromir Rahnev
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Johan Nakuci: Georgia Institute of Technology
Jiwon Yeon: Stanford University
Nadia Haddara: Georgia Institute of Technology
Ji-Hyun Kim: Ulsan National Institute of Science and Technology
Sung-Phil Kim: Ulsan National Institute of Science and Technology
Dobromir Rahnev: Georgia Institute of Technology

Nature Communications, 2025, vol. 16, issue 1, 1-14

Abstract: Abstract Meaningful variation in internal states that impacts cognition and behavior remains challenging to discover and characterize. Here we leverage trial-to-trial fluctuations in the brain-wide signal recorded using functional MRI to test if distinct sets of brain regions are activated on different trials when accomplishing the same task. Across three different perceptual decision-making experiments, we estimate the brain activations for each trial. We then cluster the trials based on their similarity using modularity-maximization, a data-driven classification method. In each experiment, we find multiple distinct but stable subtypes of trials, suggesting that the same task can be accomplished in the presence of widely varying brain activation patterns. Surprisingly, in all experiments, one of the subtypes exhibits strong activation in the default mode network, which is typically thought to decrease in activity during tasks that require externally focused attention. The remaining subtypes are characterized by activations in different task-positive areas. The default mode network subtype is characterized by behavioral signatures that are similar to the other subtypes exhibiting activation with task-positive regions. These findings demonstrate that the same perceptual decision-making task is accomplished through multiple brain activation patterns.

Date: 2025
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DOI: 10.1038/s41467-025-57115-y

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