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Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

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Hierarchical functional connectivity between the core language system and the working memory system.

Michiru Makuuchi¹, Angela D Friederici

¹Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

Cortex; a Journal Devoted to the Study of the Nervous System and Behavior

|March 14, 2013

Summary

This study reveals how working memory (WM) supports complex sentence reading. Increased connectivity between WM and language regions occurs with higher processing loads in syntactic complexity.

Keywords:

Complex syntax Dynamic causal modeling Language network Working memory fMRI

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Area of Science:

Neuroscience
Cognitive Science
Psycholinguistics

Background:

Language processing, particularly complex syntax, relies on working memory (WM).
Neuroanatomical segregation exists between core syntactic processes and WM, but their dynamic interaction remains unclear.

Purpose of the Study:

To investigate the network dynamics of WM regions supporting sentence processing during reading.
To explore the relationship between WM and core language systems under varying syntactic loads.

Main Methods:

Functional magnetic resonance imaging (fMRI) was employed to study brain activity.
Dynamic Causal Modeling (DCM) was used to compare different network architectures.
Models integrated core language (pars opercularis, middle temporal gyrus), WM (inferior frontal sulcus, intraparietal sulcus), and visual word form (fusiform gyrus) regions.

Main Results:

A processing hierarchy was identified, flowing from visual to WM to core language systems.
Connectivity strength between WM and language regions significantly increased with higher processing loads in syntactically complex sentences.

Conclusions:

WM plays a crucial, dynamically interacting role in supporting complex syntactic processing during reading.
The findings elucidate the neural network dynamics underlying language comprehension under cognitive load.