Quantitative models reveal the organization of diverse cognitive functions in the brain

Tomoya Nakai and Shinji Nishimoto ()
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Tomoya Nakai: Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT)
Shinji Nishimoto: Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT)

Nature Communications, 2020, vol. 11, issue 1, 1-12

Abstract: Abstract Our daily life is realized by the complex orchestrations of diverse brain functions, including perception, decision-making, and action. The essential goal of cognitive neuroscience is to reveal the complete representations underlying these functions. Recent studies have characterised perceptual experiences using encoding models. However, few attempts have been made to build a quantitative model describing the cortical organization of multiple active, cognitive processes. Here, we measure brain activity using fMRI, while subjects perform 103 cognitive tasks, and examine cortical representations with two voxel-wise encoding models. A sparse task-type model reveals a hierarchical organization of cognitive tasks, together with their representation in cognitive space and cortical mapping. A cognitive factor model utilizing continuous, metadata-based intermediate features predicts brain activity and decodes tasks, even under novel conditions. Collectively, our results show the usability of quantitative models of cognitive processes, thus providing a framework for the comprehensive cortical organization of human cognition.

Date: 2020
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DOI: 10.1038/s41467-020-14913-w

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