Literature DB >> 28334075

Intrinsic Brain Hub Connectivity Underlies Individual Differences in Spatial Working Memory.

Jin Liu1, Mingrui Xia1, Zhengjia Dai1, Xiaoying Wang1, Xuhong Liao1, Yanchao Bi1, Yong He1.   

Abstract

Spatial working memory (SWM) is an important component of working memory and plays an essential role in driving high-level cognitive abilities. Recent studies have demonstrated that individual SWM is associated with global brain communication. However, whether specific network nodal connectivity, such as brain hub connectivity, is involved in individual SWM performances remains largely unknown. Here, we collected resting-state fMRI (R-fMRI) data from a large group of 130 young healthy participants and evaluated their SWM performances. A voxel-wise whole-brain network analysis approach was employed to study the relationship between the nodal functional connectivity strength (FCS) and the SWM behavioral scores and to further estimate the participation of brain hubs in individual SWM. We showed significant associations between nodal FCS and SWM performance primarily in the default mode, visual, dorsal attention, and fronto-parietal systems. Moreover, over 41% of these nodal regions were identified as brain network hubs, and these hubs' FCS values contributed to 57% of the variance of the individual SWM performances that all SWM-related regions could explain. Collectively, our findings highlight the cognitive significance of the brain network hubs in SWM, which furthers our understanding of how intrinsic brain network architectures underlie individual differences in SWM processing.
© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  connectomics; default mode; functional connectivity; graph-theory; module

Mesh:

Year:  2017        PMID: 28334075     DOI: 10.1093/cercor/bhw317

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  19 in total

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Authors:  Yuehua Xu; Miao Cao; Xuhong Liao; Mingrui Xia; Xindi Wang; Tina Jeon; Minhui Ouyang; Lina Chalak; Nancy Rollins; Hao Huang; Yong He
Journal:  Cereb Cortex       Date:  2019-09-13       Impact factor: 5.357

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4.  Core networks and their reconfiguration patterns across cognitive loads.

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6.  Topological analyses of functional connectomics: A crucial role of global signal removal, brain parcellation, and null models.

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Journal:  Hum Brain Mapp       Date:  2018-07-12       Impact factor: 5.038

7.  Frequency-Resolved Connectome Hubs and Their Test-Retest Reliability in the Resting Human Brain.

Authors:  Lei Wang; Xiaodan Chen; Yuehua Xu; Miao Cao; Xuhong Liao; Yong He
Journal:  Neurosci Bull       Date:  2022-01-20       Impact factor: 5.271

8.  Neural plasticity in amplitude of low frequency fluctuation, cortical hub construction, regional homogeneity resulting from working memory training.

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Journal:  Sci Rep       Date:  2017-05-03       Impact factor: 4.379

9.  Cross-Sectional Analysis of Spatial Working Memory Development in Children with Histories of Heavy Prenatal Alcohol Exposure.

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Journal:  Alcohol Clin Exp Res       Date:  2021-01-06       Impact factor: 3.455

Review 10.  Evolution of prefrontal cortex.

Authors:  Todd M Preuss; Steven P Wise
Journal:  Neuropsychopharmacology       Date:  2021-08-06       Impact factor: 7.853

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