Robust identification of rich-club organization in weighted and dense structural connectomes

Journal article


Liang, Xiaoyun, Yeh, Chun-Hung, Connelly, Alan and Calamante, Fernando. (2019). Robust identification of rich-club organization in weighted and dense structural connectomes. Brain Topography. 32, pp. 1 - 16. https://doi.org/10.1007/s10548-018-0661-8
AuthorsLiang, Xiaoyun, Yeh, Chun-Hung, Connelly, Alan and Calamante, Fernando
Abstract

The human brain is a complex network, in which some brain regions, denoted as ‘hub’ regions, play critically important roles. Some of these hubs are highly interconnected forming a rich-club organization, which has been identified based on the degree metric from structural connectomes constructed using diffusion tensor imaging (DTI)-based fiber tractography. However, given the limitations of DTI, the yielded structural connectomes are largely compromised, possibly affecting the characterization of rich-club organizations. Recent progress in diffusion MRI and fiber tractography now enable more reliable but also very dense structural connectomes to be achieved. However, while the existing rich-club analysis method is based on weighted networks, it is essentially built upon degree metric and, therefore, not suitable for identifying rich-club organizations from such dense networks, as it yields nodes with indistinguishably high degrees. Therefore, we propose a novel method, i.e. Rich-club organization Identification using Combined H-degree and Effective strength to h-degree Ratio (RICHER), to identify rich-club organizations from dense weighted networks. Overall, it is shown that more robust rich-club organizations can be achieved using our proposed framework (i.e., state-of-the-art fiber tractography approaches and our proposed RICHER method) in comparison to the previous method focusing on weighted networks based on degree, i.e., RC-degree. Furthermore, by simulating network attacks in 3 ways, i.e., attack to non-rich-club/non-rich-club edges (NRC2NRC), rich-club/non-rich-club edges (RC2NRC), and rich-club/rich-club edges (RC2RC), brain network damage consequences have been evaluated in terms of global efficiency (GE) reductions. As expected, significant GE reductions have been detected using our proposed framework among conditions, i.e., NRC2NRC < RC2NRC, NRC2NRC < RC2RC and RC2NRC < RC2RC, which however have not been detected otherwise.

KeywordsRich club; h-Degree; Diffusion MRI; Fiber tractography; Structural connectome
Year2019
JournalBrain Topography
Journal citation32, pp. 1 - 16
PublisherSpringer New York LLC
ISSN0896-0267
Digital Object Identifier (DOI)https://doi.org/10.1007/s10548-018-0661-8
Scopus EID2-s2.0-85049567139
Page range1 - 16
Research GroupMary MacKillop Institute for Health Research
Publisher's version
File Access Level
Controlled
Place of publicationUnited States of America
Permalink -

https://acuresearchbank.acu.edu.au/item/88xzq/robust-identification-of-rich-club-organization-in-weighted-and-dense-structural-connectomes

Restricted files

Publisher's version

  • 95
    total views
  • 0
    total downloads
  • 1
    views this month
  • 0
    downloads this month
These values are for the period from 19th October 2020, when this repository was created.

Export as

Related outputs

T1rho mapping cartilage and menisci in patients with hyperuricaemia at 3 T; a preliminary study
Zhu, J., Hu, N., Hou, J., Liang, X., Wang, Y., Zhang, H., Wang, P., Chen, T., Chen, W. and Wang, L.. (2021). T1rho mapping cartilage and menisci in patients with hyperuricaemia at 3 T; a preliminary study. Clinical Radiology. 76(9), pp. 710.e1-710.e8. https://doi.org/10.1016/j.crad.2021.04.007
OA Dhollander 2021 Fixel based Analysis of Diffusion MRI
Dhollander, Thijs, Clemente, Adam, Singh, Mervyn, Boonstra, Frederique, Civier, Oren, Duque, Juan Dominguez, Egorova, Natalia, Enticott, Peter, Fuelscher, Ian, Gajamange, Sanuji, Genc, Sila, Gottlieb, Elie, Hyde, Christian, Imms, Phoebe, Kelly, Claire, Kirkovski, Melissa, Kolbe, Scott, Liang, Xiaoyun, Malhotra, Atul, ... Caeyenberghs, Karen. (2021). OA Dhollander 2021 Fixel based Analysis of Diffusion MRI. NeuroImage. 241, p. Article: 118417. https://doi.org/10.1016/j.neuroimage.2021.118417
Mapping structural connectivity using diffusion MRI : Challenges and opportunities
Yeh, Chun-Hung, Jones, Derek K., Liang, Xiaoyun, Descoteaux, Maxime and Connelly, Alan. (2021). Mapping structural connectivity using diffusion MRI : Challenges and opportunities. Journal of Magnetic Resonance Imaging. 53(6), pp. 1666-1682. https://doi.org/10.1002/jmri.27188
Longtidunial fixed-based analysis reveals rstoration of white matter-alterations following balance training in young brain injured patients
Liang, Xiaoyun, Yeh, Chun-Hung, Domínguez D., Juan F., Poudel, Govinda, Swinnen, Stephan P. and Caeyenberghs, Karen. (2021). Longtidunial fixed-based analysis reveals rstoration of white matter-alterations following balance training in young brain injured patients. NeuroImage: Clinical. 30, p. 102621. https://doi.org/10.1016/j.nicl.2021.102621
Increased cerebral blood flow with increased amyloid burden in the preclinical phase of alzheimer's disease
Fazlollahi, Amir, Calamante, Fernando, Liang, Xiaoyun, Bourgeat, Pierrick, Raniga, Parnesh, Dore, Vincent, Fripp, Jurgen, Ames, David, Masters, Colin L., Rowe, Christopher C., Connelly, Alan, Villemagne, Victor L. and Salvado, Oliver. (2020). Increased cerebral blood flow with increased amyloid burden in the preclinical phase of alzheimer's disease. Journal of Magnetic Resonance Imaging. 51(2), pp. 505 - 513. https://doi.org/10.1002/jmri.26810
A novel method for extracting hierarchical functional subnetworks based on a multisubject spectral clustering approach
Liang, Xiaoyun, Yeh, Chun-Hung, Connelly, Alan and Calamante, Fernando. (2019). A novel method for extracting hierarchical functional subnetworks based on a multisubject spectral clustering approach. Brain Connectivity. 9(5), pp. 399 - 414. https://doi.org/10.1089/brain.2019.0668
T2 mapping of cartilage and menisci at 3T in healthy subjects with knee malalignment: Initial experience
Zhu, Jiangtao, Hu, Ningfan, Liang, Xiaoyun, Li, Xiaojing, Guan, Jian, Wang, Yajuan and Wang, Ligong. (2019). T2 mapping of cartilage and menisci at 3T in healthy subjects with knee malalignment: Initial experience. Skeletal Radiology. 48(5), pp. 753 - 763. https://doi.org/10.1007/s00256-019-3164-0
A novel group-fused sparse partial correlation method for simultaneous estimation of functional networks in group comparison studies
Liang, Xiaoyun, Vaughan, David N., Connelly, Alan and Calamante, Fernando. (2018). A novel group-fused sparse partial correlation method for simultaneous estimation of functional networks in group comparison studies. Brain Topography. 31(3), pp. 364 - 379. https://doi.org/10.1007/s10548-017-0615-6
Track-weighted dynamic functional connectivity (TW-dFC): A new method to study time-resolved functional connectivity
Calamante, Fernando, Smith, Robert E., Liang, Xiaoyun, Zalesky, Andrew and Connelly, Alan. (2017). Track-weighted dynamic functional connectivity (TW-dFC): A new method to study time-resolved functional connectivity. Brain Structure and Function. 222(8), pp. 3761 - 3774. https://doi.org/10.1007/s00429-017-1431-1
Correction for diffusion MRI fibre tracking biases: The consequences for structural connectomic metrics
Yeh, Chun-Hung, Smith, Robert E., Liang, Xiaoyun, Calamante, Fernando and Connelly, Alan. (2016). Correction for diffusion MRI fibre tracking biases: The consequences for structural connectomic metrics. NeuroImage. 142, pp. 150 - 162. https://doi.org/10.1016/j.neuroimage.2016.05.047
A novel joint sparse partial correlation method for estimating group functional networks
Liang, Xiaoyun, Connelly, Allan and Calamante, Fernando. (2016). A novel joint sparse partial correlation method for estimating group functional networks. Human Brain Mapping. 37(3), pp. 1162 - 1177. https://doi.org/10.1002/hbm.23092
Reproducibility of multiphase pseudo-continuous arterial spin labeling and the effect of post-processing analysis methods
Fazlollahi, Amir, Bourgeat, Pierrick, Liang, Xiaoyun, Meriaudeau, Fabrice, Connelly, Alan, Salvado, Olivier and Calamante, Fernando. (2015). Reproducibility of multiphase pseudo-continuous arterial spin labeling and the effect of post-processing analysis methods. NeuroImage. 117, pp. 191 - 201. https://doi.org/10.1016/j.neuroimage.2015.05.048
Voxel-wise functional connectomics using arterial spin labeling functional magnetic resonance imaging: The role of denoising
Liang, Xiaoyun, Connelly, Alan and Calamante, Fernando. (2015). Voxel-wise functional connectomics using arterial spin labeling functional magnetic resonance imaging: The role of denoising. Brain Connectivity. 5(9), pp. 543 - 553. https://doi.org/10.1089/brain.2014.0290
A variable flip angle-based method for reducing blurring in 3D GRASE ASL
Liang, Xiaoyun, Connelly, Alan, Tournier, Jacques-Donald and Calamante, Fernando. (2014). A variable flip angle-based method for reducing blurring in 3D GRASE ASL. Physics in Medicine and Biology. 59(18), pp. 5559 - 5573. https://doi.org/10.1088/0031-9155/59/18/5559
Graph analysis of resting-state ASL perfusion MRI data: Nonlinear correlations among CBF and network metrics
Liang, Xiaoyun, Connelly, Alan and Calamante, Fernando. (2014). Graph analysis of resting-state ASL perfusion MRI data: Nonlinear correlations among CBF and network metrics. NeuroImage. 87, pp. 265 - 275. https://doi.org/10.1016/j.neuroimage.2013.11.013
Improved partial volume correction for single inversion time arterial spin labeling data
Liang, Xiaoyun, Connelly, Alan and Calamante, Fernando. (2013). Improved partial volume correction for single inversion time arterial spin labeling data. Magnetic Resonance in Medicine. 69(2), pp. 531-537. https://doi.org/10.1002/mrm.24279
A meta-analysis of randomized control trials of home-based secondary prevention programs for coronary artery disease
Clark, Alexander, Haykowsky, M, Kryworuchko, J, MacClure, T, Scott, Jess, DesMeules, M, Luo, W, Liang, Y and McAlister, F. (2010). A meta-analysis of randomized control trials of home-based secondary prevention programs for coronary artery disease. European Journal of Cardiovascular Prevention & Rehabilitation. 17(3), pp. 261 - 270. https://doi.org/10.1097/HJR.0b013e32833090ef
Effectiveness of cutaneous warming systems on temperature control : Meta-analysis
Galvuo, C, Liang, Y and Clark, Alexander. (2010). Effectiveness of cutaneous warming systems on temperature control : Meta-analysis. Journal of Advanced Nursing. 66(6), pp. 1196 - 1206. https://doi.org/10.1111/j.1365-2648.2010.05312.x