Literature DB >> 23899725

Functional brain hubs and their test-retest reliability: a multiband resting-state functional MRI study.

Xu-Hong Liao1, Ming-Rui Xia, Ting Xu, Zheng-Jia Dai, Xiao-Yan Cao, Hai-Jing Niu, Xi-Nian Zuo, Yu-Feng Zang, Yong He.   

Abstract

Resting-state functional MRI (R-fMRI) has emerged as a promising neuroimaging technique used to identify global hubs of the human brain functional connectome. However, most R-fMRI studies on functional hubs mainly utilize traditional R-fMRI data with relatively low sampling rates (e.g., repetition time [TR]=2 s). R-fMRI data scanned with higher sampling rates are important for the characterization of reliable functional connectomes because they can provide temporally complementary information about functional integration among brain regions and simultaneously reduce the effects of high frequency physiological noise. Here, we employed a publicly available multiband R-fMRI dataset with a sub-second sampling rate (TR=645 ms) to identify global hubs in the human voxel-wise functional networks, and further examined their test-retest (TRT) reliability over scanning time. We showed that the functional hubs of human brain networks were mainly located at the default-mode regions (e.g., medial prefrontal and parietal cortex as well as the lateral parietal and temporal cortex) and the sensorimotor and visual cortex. These hub regions were highly anatomically distance-dependent, where short-range and long-range hubs were primarily located at the primary cortex and the multimodal association cortex, respectively. We found that most functional hubs exhibited fair to good TRT reliability using intraclass correlation coefficients. Interestingly, our analysis suggested that a 6-minute scan duration was able to reliably detect these functional hubs. Further comparison analysis revealed that these results were approximately consistent with those obtained using traditional R-fMRI scans of the same subjects with TR=2500 ms, but several regions (e.g., lateral frontal cortex, paracentral lobule and anterior temporal lobe) exhibited different TRT reliability. Finally, we showed that several regions (including the medial/lateral prefrontal cortex and lateral temporal cortex) were identified as brain hubs in a high frequency band (0.2-0.3 Hz), which is beyond the frequency scope of traditional R-fMRI scans. Our results demonstrated the validity of multiband R-fMRI data to reliably detect functional hubs in the voxel-wise whole-brain networks, which motivated the acquisition of high temporal resolution R-fMRI data for the studies of human brain functional connectomes in healthy and diseased conditions.
© 2013.

Entities:  

Keywords:  Connectome; Default-mode; Functional connectivity; Global signals; Graph theory; fMRI

Mesh:

Year:  2013        PMID: 23899725     DOI: 10.1016/j.neuroimage.2013.07.058

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  78 in total

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6.  GRETNA: a graph theoretical network analysis toolbox for imaging connectomics.

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Review 8.  Neuroimaging in Psychiatry and Neurodevelopment: why the emperor has no clothes.

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9.  Improved estimation of subject-level functional connectivity using full and partial correlation with empirical Bayes shrinkage.

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10.  Variability of Resting-State Functional MRI Graph Theory Metrics across 3T Platforms.

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Journal:  J Neuroimaging       Date:  2019-01-31       Impact factor: 2.486

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