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The functional anatomy of cognitive control: A domain-general brain network for uncertainty processing
Tingting Wu1, Caiqi Chen2, Alfredo Spagna3
1Department of Psychology, Queens College, The City University of New York, Queens, New York.
The cognitive control network (CCN) of the brain generally activates more when facing uncertainty, supporting goal-directed behaviors across executive control, working memory, and decision-making tasks.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Cognitive Psychology
Background:
- Cognitive control coordinates mental operations for goal-directed behavior, especially under uncertainty.
- The cognitive control network (CCN) is implicated in executive control, working memory, and decision-making.
- Previous research linked the CCN primarily to conflict processing, a specific type of uncertainty.
Purpose of the Study:
- To investigate the common involvement of the CCN in processing uncertainty across multiple cognitive domains.
- To examine CCN activation patterns during high versus low uncertainty conditions.
Main Methods:
- A large-scale meta-analysis of 289 functional magnetic resonance imaging (fMRI) studies.
- Activation-likelihood-estimation (ALE) meta-analysis technique.
- Contrasting brain activity in high-uncertainty versus low-uncertainty conditions.
Main Results:
- A general association was found between increased uncertainty and increased CCN activation.
- Key CCN regions showing activation include the frontoparietal network (frontal eye fields, intraparietal sulcus, dorsolateral prefrontal cortex), cingulo-opercular network (anterior cingulate cortex, supplementary motor area, anterior insular cortex), and the striatum.
- These findings highlight the CCN's role in domain-general uncertainty processing.
Conclusions:
- The cognitive control network (CCN) is a domain-general system for processing uncertainty.
- CCN activation supports goal-directed behaviors across various cognitive tasks.
- This meta-analysis provides strong evidence for the CCN's broad role in managing uncertainty.
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