Jing Sui

Summary

Publications

  1. doi request reprint An ICA-based method for the identification of optimal FMRI features and components using combined group-discriminative techniques
    Jing Sui
    The MIND Research Network, 1101 Yale Blvd, NE, Albuquerque, NM 87106, USA
    Neuroimage 46:73-86. 2009
  2. pmc A review of multivariate methods for multimodal fusion of brain imaging data
    Jing Sui
    The MIND Research Network, Albuquerque, NM 87106, USA
    J Neurosci Methods 204:68-81. 2012
  3. pmc Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model
    Jing Sui
    The MIND Research Network, Albuquerque, NM 87106, USA
    Neuroimage 57:839-55. 2011
  4. pmc A CCA+ICA based model for multi-task brain imaging data fusion and its application to schizophrenia
    Jing Sui
    The MIND Research Network, 1101 Yale Blvd, NE, Albuquerque, NM 87106, USA
    Neuroimage 51:123-34. 2010
  5. pmc Disrupted correlation between low frequency power and connectivity strength of resting state brain networks in schizophrenia
    Qingbao Yu
    The MIND Research Network, Albuquerque, NM 87106, USA
    Schizophr Res 143:165-71. 2013
  6. pmc Altered small-world brain networks in schizophrenia patients during working memory performance
    Hao He
    The MIND Research Network, Albuquerque, New Mexico, United States of America
    PLoS ONE 7:e38195. 2012
  7. doi request reprint Three-way FMRI-DTI-methylation data fusion based on mCCA+jICA and its application to schizophrenia
    Jing Sui
    MIND Research Network, Albuquerque, NM 87106, USA
    Conf Proc IEEE Eng Med Biol Soc 2012:2692-5. 2012
  8. pmc Source-based morphometry analysis of group differences in fractional anisotropy in schizophrenia
    Arvind Caprihan
    The MIND Research Network, Albuquerque, New Mexico, USA
    Brain Connect 1:133-45. 2011
  9. pmc Characterization of groups using composite kernels and multi-source fMRI analysis data: application to schizophrenia
    Eduardo Castro
    Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87131 0001, USA
    Neuroimage 58:526-36. 2011
  10. pmc Identification of imaging biomarkers in schizophrenia: a coefficient-constrained independent component analysis of the mind multi-site schizophrenia study
    Dae Il Kim
    The MIND Research Network, 1101 Yale Boulevard NE, Albuquerque, NM 87131, USA
    Neuroinformatics 8:213-29. 2010

Collaborators

Detail Information

Publications15

  1. doi request reprint An ICA-based method for the identification of optimal FMRI features and components using combined group-discriminative techniques
    Jing Sui
    The MIND Research Network, 1101 Yale Blvd, NE, Albuquerque, NM 87106, USA
    Neuroimage 46:73-86. 2009
    ..The proposed framework provides a general approach for selecting optimal brain networks which may serve as potential biomarkers of several brain diseases and thus has wide applicability in the neuroimaging research community...
  2. pmc A review of multivariate methods for multimodal fusion of brain imaging data
    Jing Sui
    The MIND Research Network, Albuquerque, NM 87106, USA
    J Neurosci Methods 204:68-81. 2012
    ..Finally, we evaluate 3 representative methods via simulation and give some suggestions on how to select an appropriate method based on a given research...
  3. pmc Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model
    Jing Sui
    The MIND Research Network, Albuquerque, NM 87106, USA
    Neuroimage 57:839-55. 2011
    ....
  4. pmc A CCA+ICA based model for multi-task brain imaging data fusion and its application to schizophrenia
    Jing Sui
    The MIND Research Network, 1101 Yale Blvd, NE, Albuquerque, NM 87106, USA
    Neuroimage 51:123-34. 2010
    ..Such an approach fills a gap in existing multivariate methods for identifying biomarkers from brain imaging data...
  5. pmc Disrupted correlation between low frequency power and connectivity strength of resting state brain networks in schizophrenia
    Qingbao Yu
    The MIND Research Network, Albuquerque, NM 87106, USA
    Schizophr Res 143:165-71. 2013
    ..In addition, LFPR was correlated with positive CS in HCs, but to a lesser extent in SZs. HCs showed higher normalized rich club parameter than SZs. The findings provide new insight into disordered intrinsic brain graphs in schizophrenia...
  6. pmc Altered small-world brain networks in schizophrenia patients during working memory performance
    Hao He
    The MIND Research Network, Albuquerque, New Mexico, United States of America
    PLoS ONE 7:e38195. 2012
    ..SZ show distinctly inefficient and variable network structures in response to WM load increase, comparing to stable highly clustered network topologies in HC...
  7. doi request reprint Three-way FMRI-DTI-methylation data fusion based on mCCA+jICA and its application to schizophrenia
    Jing Sui
    MIND Research Network, Albuquerque, NM 87106, USA
    Conf Proc IEEE Eng Med Biol Soc 2012:2692-5. 2012
    ..The results replicate previous reports and add to our understanding of the neural correlates of schizophrenia, and suggest more generally a promising approach to identify potential brain illness biomarkers...
  8. pmc Source-based morphometry analysis of group differences in fractional anisotropy in schizophrenia
    Arvind Caprihan
    The MIND Research Network, Albuquerque, New Mexico, USA
    Brain Connect 1:133-45. 2011
    ..Overall, these results suggest the importance of utilizing multivariate approaches in morphometric studies in schizophrenia...
  9. pmc Characterization of groups using composite kernels and multi-source fMRI analysis data: application to schizophrenia
    Eduardo Castro
    Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87131 0001, USA
    Neuroimage 58:526-36. 2011
    ....
  10. pmc Identification of imaging biomarkers in schizophrenia: a coefficient-constrained independent component analysis of the mind multi-site schizophrenia study
    Dae Il Kim
    The MIND Research Network, 1101 Yale Boulevard NE, Albuquerque, NM 87131, USA
    Neuroinformatics 8:213-29. 2010
    ....
  11. pmc A method for accurate group difference detection by constraining the mixing coefficients in an ICA framework
    Jing Sui
    The MIND Research Network, Albuquerque, New Mexico 87106, USA
    Hum Brain Mapp 30:2953-70. 2009
    ..The proposed algorithm performs quite well for both group-difference detection and multitask fMRI data fusion, which may prove especially important for the identification of relevant disease biomarkers...
  12. pmc Altered topological properties of functional network connectivity in schizophrenia during resting state: a small-world brain network study
    Qingbao Yu
    The MIND Research Network, Albuquerque, New Mexico, United States of America
    PLoS ONE 6:e25423. 2011
    ..These findings suggest that aberrant architecture of small-world brain topology in SZ consists of ICA temporally coherent brain networks...
  13. pmc Combination of Resting State fMRI, DTI, and sMRI Data to Discriminate Schizophrenia by N-way MCCA + jICA
    Jing Sui
    The MIND Research Network, Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM, USA LIAMA Center for Computational Medicine, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
    Front Hum Neurosci 7:235. 2013
    ..Findings suggest the DTI anisotropy changes in frontal lobe may relate to the corresponding functional/structural changes in prefrontal cortex and superior temporal gyrus that are thought to play a role in the clinical expression of SZ...
  14. ncbi request reprint Brain connectivity networks in schizophrenia underlying resting state functional magnetic resonance imaging
    Qingbao Yu
    MIND Research Network, 1101 Yale Blvd NE, Albuquerque, NM 87106, USA
    Curr Top Med Chem 12:2415-25. 2012
    ..In this article, we review aberrant brain connectivity networks in SZ measured in R-fMRI by the above approaches, and discuss future challenges...
  15. pmc Identification of genetic and epigenetic marks involved in population structure
    Jingyu Liu
    The MIND Research Network, Albuquerque, New Mexico, United States of America
    PLoS ONE 5:e13209. 2010
    ....