This study investigates the cortical organization of multiple active cognitive processes using fMRI and encoding models. Researchers measured brain activity while subjects performed 103 diverse cognitive tasks. A sparse task-type model revealed a hierarchical organization of these tasks, while a cognitive factor model, using continuous metadata-based features, predicted brain activity and decoded tasks even under novel conditions. The findings demonstrate the utility of quantitative models in understanding the comprehensive cortical organization of human cognition.
Publisher
Nature Communications
Published On
Mar 02, 2020
Authors
Tomoya Nakai, Shinji Nishimoto
Tags
cognitive processes
fMRI
brain activity
task organization
cognitive modeling
neural networks
hierarchical organization
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