Integrated externally and internally generated task predictions Jointly guide cognitive control in prefrontal cortex
Abstract
Cognitive control proactively configures information processing to suit expected task demands. Predictions of forthcoming demand can be driven by explicit external cues or be generated internally, based on past experience (cognitive history). However, it is not known whether and how the brain reconciles these two sources of information to guide control. Pairing a probabilistic task-switching paradigm with computational modeling, we found that external and internally generated predictions jointly guide task preparation, with a bias for internal predictions. Using model-based neuroimaging, we then show that the two sources of task prediction are integrated in dorsolateral prefrontal cortex, and jointly inform a representation of the likelihood of a change in task demand, encoded in frontoparietal cortex. Upon task-stimulus onset, dorsomedial prefrontal cortex encoded the need for reactive task-set adjustment. These data reveal how the human brain integrates external cues and cognitive history to prepare for an upcoming task.
Data availability
Data Availability: Statistical maps for all whole-brain fMRI analyses have been uploaded to https://neurovault.org/collections/3732/ We will share raw behavioral and fMRI data (e.g., using openfmri.org), as well as Matlab source code (using github) for the task and key analyses once this manuscript is published.
Article and author information
Author details
Funding
National Institute of Mental Health (R01 MH097965)
- Tobias Egner
National Institute of Aging (F32AG056080)
- Jiefeng Jiang
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Ethics
Human subjects: Twenty-eight volunteers gave informed written consent, in accordance with institutional guidelines. This study was approved by the Duke University Health System Institutional Review Board.
Copyright
© 2018, Jiang et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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