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Published on: February 6, 2019
Degree of automaticity and the prefrontal cortex
Hyeon-Ae Jeon1, Angela D Friederici1
1Max Planck Institute for Human Cognitive and Brain Sciences, Department of Neuropsychology, Leipzig, Germany.
The dorsolateral prefrontal cortex (PFC) shows distinct activation patterns based on cognitive control. Automatic processes like first language (L1) rely on posterior regions, unlike controlled processes.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Neurolinguistics
Background:
- The dorsolateral prefrontal cortex (PFC) exhibits an anterior gradient for increasing cognitive hierarchy.
- This anterior gradient is not observed in highly automatic processes, such as first language (L1) processing.
- Posterior regions, specifically Brodmann area (BA) 44, are critical for complex L1 linguistic hierarchy.
Purpose of the Study:
- To propose a new framework for functional mapping in the PFC.
- To reconcile the disparity in PFC activation patterns between controlled and automatic processes.
- To introduce the degree of automaticity (DoA) as a key factor in PFC functional organization.
Main Methods:
- Review and synthesis of previous neuroimaging findings related to PFC function.
- Analysis of functional activation patterns in relation to task demands and automaticity.
- Theoretical modeling of PFC organization based on degree of automaticity.
Main Results:
- The degree of automaticity (DoA) significantly influences PFC functional organization.
- Controlled processes follow a posterior-to-anterior gradient system.
- Automatic processes are associated with a posterior-confined system within the PFC.
Conclusions:
- The degree of automaticity is a critical determinant of functional mapping within the PFC.
- A dual-system model (posterior-to-anterior gradient vs. posterior-confined) explains PFC organization across varying automaticity levels.
- This revised framework offers a new perspective on the functional specialization of the PFC.
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