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Is There “One” DLPFC in Cognitive Action Control? Evidence for Heterogeneity From Co-Activation-Based Parcellation

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TLDR
Evidence is provided that cognitive action control in the right DLPFC may rely on differentiable neural networks and cognitive functions, as well as task-dependent and task-independent connectivity, which revealed both clusters to be involved in distinct neural networks.
Abstract
The dorsolateral prefrontal cortex (DLPFC) has consistently been implicated in cognitive control of motor behavior. There is, however, considerable variability in the exact location and extension of these activations across functional magnetic resonance imaging (fMRI) experiments. This poses the question of whether this variability reflects sampling error and spatial uncertainty in fMRI experiments or structural and functional heterogeneity of this region. This study shows that the right DLPFC as observed in 4 different experiments tapping executive action control may be subdivided into 2 distinct subregions-an anterior-ventral and a posterior-dorsal one - based on their whole-brain co-activation patterns across neuroimaging studies. Investigation of task-dependent and task-independent connectivity revealed both clusters to be involved in distinct neural networks. The posterior subregion showed increased connectivity with bilateral intraparietal sulci, whereas the anterior subregion showed increased connectivity with the anterior cingulate cortex. Functional characterization with quantitative forward and reverse inferences revealed the anterior network to be more strongly associated with attention and action inhibition processes, whereas the posterior network was more strongly related to action execution and working memory. The present data provide evidence that cognitive action control in the right DLPFC may rely on differentiable neural networks and cognitive functions.

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Citations
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ICA model order selection of task co-activation networks.

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Networks of task co-activations

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Tackling the multifunctional nature of Broca's region meta-analytically: co-activation-based parcellation of area 44.

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Meta-Analysis in Human Neuroimaging: Computational Modeling of Large-Scale Databases

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Topographic organization of the cerebral cortex and brain cartography

TL;DR: Focusing on in-vivo brain parcellation as a rapidly expanding field of research, this paper highlights potential limitations of the classical concept of cortical areas in the context of multi-modalParcellation and proposes a revised interpretation of cortical Areas building on the concept of neurobiological atoms that may be aggregated into larger units within and across modalities.
References
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An integrative theory of prefrontal cortex function

TL;DR: It is proposed that cognitive control stems from the active maintenance of patterns of activity in the prefrontal cortex that represent goals and the means to achieve them, which provide bias signals to other brain structures whose net effect is to guide the flow of activity along neural pathways that establish the proper mappings between inputs, internal states, and outputs needed to perform a given task.
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Functional connectivity in the motor cortex of resting human brain using echo-planar MRI.

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Journal ArticleDOI

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TL;DR: Recent studies examining spontaneous fluctuations in the blood oxygen level dependent (BOLD) signal of functional magnetic resonance imaging as a potentially important and revealing manifestation of spontaneous neuronal activity are reviewed.
Journal ArticleDOI

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