The Dimensionality of Neural Coding for Cognitive Control Is Gradually Transformed within the Lateral Prefrontal
Rocco Chiou1,2,3, John Duncan4, Elizabeth Jefferies5
1MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, Cambridgeshire CB2 7EF, United Kingdom rocco.chiou@ndcn.ox.ac.uk.
Summary
Cognitive control involves distinct prefrontal cortex (PFC) functions. Different PFC subregions specialize in task difficulty, abstract structure, or task sets, showing a gradient of representation and connectivity for cognitive control.
Area of Science:
- Neuroscience
- Cognitive Science
- Computational Neuroscience
Background:
- Cognitive control relies on complex neural representations in the prefrontal cortex (PFC).
- Traditional methods simplify PFC representations, limiting hypothesis testing and inter-regional comparisons.
- Representational Similarity Analysis (RSA) offers a flexible framework for analyzing neural codes and comparing brain regions.
Purpose of the Study:
- To investigate the representational content and organization within the lateral PFC during cognitive control.
- To examine the alignment and generalizability of neural representations across different PFC subregions and tasks.
- To understand how dimensionality of neural representations relates to functional specialization.
Main Methods:
- Utilized a multifaceted experimental paradigm manipulating cognitive control difficulty across five distinct tasks.
- Applied Representational Similarity Analysis (RSA) to decode representational content and assess inter-regional alignment.
- Quantified representational generality and specificity across PFC subregions.
Main Results:
- Identified a graded functional transition along the lateral PFC.
- Dorsocaudal PFC showed tuning to task difficulty, strong parietal connectivity, and broad generalizability.
- Ventrorostral PFC was tuned to abstract task structure, connected with temporal cortex, and exhibited specific representations.
- Middle PFC integrated task-specific information with intermediate connectivity and generalizability.
- Representation dimensionality correlated with function: low dimensionality in dorsocaudal PFC supported generality, while high dimensionality in ventrorostral PFC enabled encoding of details.
Conclusions:
- Cognitive control is functionally decomposed into distinct facets that systematically vary across PFC subregions.
- Neural representation dimensionality is a key factor influencing functional specialization and generalizability within the PFC.
- RSA provides a powerful tool for dissecting the complex neural architecture supporting cognitive control.
Keywords:
cognitive controlconnectivitydimensionalitymultiple-demand networkprefrontal cortexsemantic cognitionMore Related Videos
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