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 Three-way (N-way) fusion of brain imaging data based on mCCA+jICA and its application to discriminating schizophrenia
    Jing Sui
    The Mind Research Network and Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM 87106, USA Electronic address
    Neuroimage 66:119-32. 2013
  3. 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
  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 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
  6. pmc State-related functional integration and functional segregation brain networks in schizophrenia
    Qingbao Yu
    The MIND Research Network, Albuquerque, NM 87106, USA Electronic address
    Schizophr Res 150:450-8. 2013
  7. 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
  8. 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
  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. 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

Collaborators

Detail Information

Publications21

  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 Three-way (N-way) fusion of brain imaging data based on mCCA+jICA and its application to discriminating schizophrenia
    Jing Sui
    The Mind Research Network and Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM 87106, USA Electronic address
    Neuroimage 66:119-32. 2013
    ..The proposed "mCCA+jICA" method showed promise for elucidating the joint or coupled neuronal abnormalities underlying mental illnesses and improves our understanding of the disease process. ..
  3. 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...
  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 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
    ....
  6. pmc State-related functional integration and functional segregation brain networks in schizophrenia
    Qingbao Yu
    The MIND Research Network, Albuquerque, NM 87106, USA Electronic address
    Schizophr Res 150:450-8. 2013
    ....
  7. 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...
  8. 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...
  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. 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...
  11. 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...
  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 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...
  14. 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
    ....
  15. pmc Guided exploration of genomic risk for gray matter abnormalities in schizophrenia using parallel independent component analysis with reference
    Jiayu Chen
    Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87131, USA The Mind Research Network, Albuquerque, NM 87106, USA
    Neuroimage 83:384-96. 2013
    ....
  16. 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...
  17. pmc Assessing dynamic brain graphs of time-varying connectivity in fMRI data: application to healthy controls and patients with schizophrenia
    Qingbao Yu
    The MIND Research Network, Albuquerque, NM 87106, USA Electronic address
    Neuroimage 107:345-55. 2015
    ..Collectively, the findings provide new evidence about altered dynamic brain graphs in schizophrenia, which may underscore the abnormal brain performance in this mental illness. ..
  18. 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...
  19. pmc High-order interactions observed in multi-task intrinsic networks are dominant indicators of aberrant brain function in schizophrenia
    Sergey M Plis
    The MIND Research Network, Albuquerque, NM 87106, USA Electronic address
    Neuroimage 102:35-48. 2014
    ..Overall, our approach can identify key relationships that are missed by existing analysis methods, without losing the ability to find relationships that are known to be important. ..
  20. pmc Function-structure associations of the brain: evidence from multimodal connectivity and covariance studies
    Jing Sui
    The MIND Research Network, Albuquerque, NM 87106, USA Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China Electronic address
    Neuroimage 102:11-23. 2014
    ..g. multimodal biomarkers, which potentially can be used to support clinical diagnosis based on neuroimaging techniques. ..
  21. 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
    ....