Dynamic Network Mechanisms of Relational Integration

Parkin, B., Hellyer, P., Leech, R. and Hampshire, A. 2015. Dynamic Network Mechanisms of Relational Integration. Journal of Neuroscience. 35 (20), pp. 7660-7673. doi:10.1523/JNEUROSCI.4956-14.2015

TitleDynamic Network Mechanisms of Relational Integration
TypeJournal article
AuthorsParkin, B., Hellyer, P., Leech, R. and Hampshire, A.
Abstract

A prominent hypothesis states that specialized neural modules within the human lateral frontopolar cortices (LFPCs) support “relational integration” (RI), the solving of complex problems using inter-related rules. However, it has been proposed that LFPC activity during RI could reflect the recruitment of additional “domain-general” resources when processing more difficult problems in general as opposed to RI specifi- cally. Moreover, theoretical research with computational models has demonstrated that RI may be supported by dynamic processes that occur throughout distributed networks of brain regions as opposed to within a discrete computational module. Here, we present fMRI findings from a novel deductive reasoning paradigm that controls for general difficulty while manipulating RI demands. In accordance with the domain- general perspective, we observe an increase in frontoparietal activation during challenging problems in general as opposed to RI specifically. Nonetheless, when examining frontoparietal activity using analyses of phase synchrony and psychophysiological interactions, we observe increased network connectivity during RI alone. Moreover, dynamic causal modeling with Bayesian model selection identifies the LFPC as the effective connectivity source. Based on these results, we propose that during RI an increase in network connectivity and a decrease in network metastability allows rules that are coded throughout working memory systems to be dynamically bound. This change in connectivity state is top-down propagated via a hierarchical system of domain-general networks with the LFPC at the apex. In this manner, the functional network perspective reconciles key propositions of the globalist, modular, and computational accounts of RI within a single unified framework.

Keywordsrostrolateral prefrontal cortex
relational integration
phase synchrony
functional networks
frontopolar cortex
MRI
JournalJournal of Neuroscience
Journal citation35 (20), pp. 7660-7673
ISSN0270-6474
Year2015
PublisherSociety for Neuroscience
Publisher's version
Digital Object Identifier (DOI)doi:10.1523/JNEUROSCI.4956-14.2015
Publication dates
Published20 May 2015

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