Resting-state coupling between core regions within the central-executive and salience networks contributes to working memory performance

Fang, Xiaojing, Zhang, Yuanchao, Zhou, Yuan, Cheng, Luqi, Li, Jin, Wang, Yulin, Friston, Karl J. and Jiang, Tianzi (2016) Resting-state coupling between core regions within the central-executive and salience networks contributes to working memory performance. Frontiers in Behavioral Neuroscience, 10 27: 1-11. doi:10.3389/fnbeh.2016.00027


Author Fang, Xiaojing
Zhang, Yuanchao
Zhou, Yuan
Cheng, Luqi
Li, Jin
Wang, Yulin
Friston, Karl J.
Jiang, Tianzi
Title Resting-state coupling between core regions within the central-executive and salience networks contributes to working memory performance
Journal name Frontiers in Behavioral Neuroscience   Check publisher's open access policy
ISSN 1662-5153
Publication date 2016-02-25
Year available 2016
Sub-type Article (original research)
DOI 10.3389/fnbeh.2016.00027
Open Access Status DOI
Volume 10
Issue 27
Start page 1
End page 11
Total pages 11
Place of publication Lausanne, Switzerland
Publisher Frontiers Research Foundation
Collection year 2017
Language eng
Abstract Previous studies investigated the distinct roles played by different cognitive regions and suggested that the patterns of connectivity of these regions are associated with working memory (WM). However, the specific causal mechanism through which the neuronal circuits that involve these brain regions contribute to WM is still unclear. Here, in a large sample of healthy young adults, we first identified the core WM regions by linking WM accuracy to resting-state functional connectivity with the bilateral dorsolateral prefrontal cortex (dLPFC; a principal region in the central-executive network, CEN). Then a spectral dynamic causal modeling (spDCM) analysis was performed to quantify the effective connectivity between these regions. Finally, the effective connectivity was correlated with WM accuracy to characterize the relationship between these connections and WM performance. We found that the functional connections between the bilateral dLPFC and the dorsal anterior cingulate cortex (dACC) and between the right dLPFC and the left orbital fronto-insular cortex (FIC) were correlated with WM accuracy. Furthermore, the effective connectivity from the dACC to the bilateral dLPFC and from the right dLPFC to the left FIC could predict individual differences in WM. Because the dACC and FIC are core regions of the salience network (SN), we inferred that the inter- and causal-connectivity between core regions within the CEN and SN is functionally relevant for WM performance. In summary, the current study identified the dLPFC-related resting-state effective connectivity underlying WM and suggests that individual differences in cognitive ability could be characterized by resting-state effective connectivity.
Keyword Working memory
Dorsolateral prefrontal cortex
Resting state fMRI
Functional connectivity
Effective connectivity
Spectral dynamic causal modeling
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
Queensland Brain Institute Publications
 
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