Jing Sui

Jing Sui, PhD

Professor

Brainnetome Center &

National Laboratory of Pattern Recognition

Institute of Automation

Chinese Academy of Sciences

Beijing 100190, P. R. China

Phone: 86-10-82544518

E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

 JingSui

Brief History, Education, Research Interests, Selected Publications, Awards and Honors, Funding Support

Brief History
2013 - present       Professor, Brainnetome Center, Institute of Automation

2012 - 2013           Assistant Professor, The Mind Research Network (MRN), USA

2010 - 2012           Research Scientist, The Mind Research Network , Albuquerque, NM, USA

2007 - 2009           Postdoctoral Fellow, The Mind Research Network, Albuquerque, NM, USA


Education

2007        PhD       Optical Engineering (in major of Image/Signal Processing), Beijing Institute of Technology (BIT), Beijing, China

2002        BS         Optical Technology and Photoelectric Instrumental, Beijing Institute of Technology

2002        Minor     Computer Science, Beijing Institute of Technology


Research Interests

¨     Biomarker/neuromarker Identification for mental diseases.

¨     Brain Imaging Data Analysis (fMRI, DTI, sMRI). Multimodal Fusion.

¨     Classification. Prediction. Multivariate Modeling. Machine Learning.

¨     Image/Signal Processing. Large Scale Data Mining. ICA. CCA.

¨     Schizophrenia, Depression, Bipolar disorder etc.


Selected Publications(Partial)

  1. Sui J, Pearlson, G.D., Du, Y., Yu, Q., Jones, T. R., Chen, J., Jiang, T., Bustillo, J., Calhoun, V.D.. 2015. In Search of Multimodal Neuroimaging Biomarkers of Cognitive Deficits in Schizophrenia. Biol Psychiatry In press. doi: 10. 1016/j.biopsych. 2015.02.17
  2. Sui J, Huster R, Yu Q, Judith M. Segall, Vince D Calhoun. Function-Structure Associations of the Brain: Evidence from Multimodal Connectivity and Covariance Studies. Neuroimage. In press.
  3. Sui J, He H, Pearlson GD, Adali T, Yu Q, Clark VP, White T, Mueller BA, Ho BC, AndreasenNC, Calhoun VD. 2013. Three-Way (N-way) Fusion of Brain Imaging Data Based on mCCA+jICA and Its Application to Discriminating Schizophrenia. Neuroimage. 2(66):119-132.
  4. Sui J, He, H., Yu, Q., Chen, J., Rogers, J., Pearlson, G.D., Mayer, A., Bustillo, J., Canive, J., Calhoun, V.D., 2013. Combination of Resting State fMRI, DTI, and sMRI Data to Discriminate Schizophrenia by N-way MCCA + jICA. Front Hum Neurosci 7, 235.
  5. Sui J, Adali T, Yu Q, Calhoun VD. 2012. A Review of Multivariate Methods for Multimodal Fusion of Brain Imaging Data. Journal of Neuroscience Methods. 204(1) : 68–81.
  6. Sui J, Yu Q, He H, Pearlson GD, Calhoun VD. 2012. A Selective Review of Multivariate Methods for Multimodal Fusion of Brain Imaging Data. Frontiers in Human Neuroscience. 6:27.
  7. Sui J, Pearlson GD, Adali T, Caprihan A, Liu J, Yamamoto J, Calhoun VD. 2011. Discriminating Schizophrenia and Bipolar Disorder by Fusing FMRI and DTI in a CCA+ICA Based Model. Neuroimage. 57(7):839-855.
  8. Sui J, Adali T, Pearlson GD, Yang H, Sponheim SR, White T, Calhoun VD 2010. A CCA+ICA Based Model for Multi-Task Brain Imaging Data Fusion And Its Application to Schizophrenia. Neuroimage. 51(5):123-134.
  9. Sui J, Adali T, Pearlson GD, Calhoun VD. 2009. An ICA-based method for the identification of optimal FMRI features and components using combined group-discriminative techniques. Neuroimage 46(1):73-86.
  10. Sui J, Adali T, Pearlson GD, Clark VP, Calhoun VD. 2009. A method for accurate group difference detection by constraining the mixing coefficients in an ICA framework. Hum Brain Mapping30(9): 2953-2970.
  11. Jie N, Zhu M, Ma X, Osuch EA, Wammes M, Jean T, Li H, Zhang Y, Jiang T, Sui J*, Calhoun, VD. 2015. Discriminating Bipolar Disorder from Major Depression Baded on SVM-FoBa: Efficient Feature Selection With Multimodal Brain Imaging Data. IEEE Transactions on Autonomous Mental Development. In press.
  12. He H, Yu Q, Du Y, Vergara V, Victor T, Dreverts W, Savitz J, Jiang T, Sui J*, Calhoun, VD. Resting-state functional network connectivity in prefrontal regions differs between unmedicated patients with bipolar and major depressive disorders. Journal of Affective Disorders. In minor revision.
  13. Yu Q, Erhardt E, Sui J, Du Y, He H, Hjelm D, Cetin M, Rachakonda S, Miller R, Pearlson GD, and Calhoun VD. 2015. Assessing dynamic brain graphs of time-varying connectivity in fMRI data: Application to healthy controls and patients with schizophrenia. Neuroimage 102:35-48.
  14. Plis, S.M., Sui J, Lane, T., Roy, S., Clark, V.P., Potluru, V.K., Huster, R.J., Michael, A., Sponheim, S.R., Weisend, M.P., Calhoun, V.D.. 2014. High-order interactions observed in multi-task intrinsic networks are dominant indicators of aberrant brain function in schizophrenia. Neuroimage 102:35-48.
  15. Du Y, Pearlson GD, Liu J, Sui J, Yu Q, He H, Castro E, Calhoun VD. A Group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disorders. Neuroimage.In press.
  16. Chen J, Hutchison KE, Calhoun VD, Claus ED, Tumer JA, Sui J, Liu J. 2015. CREB-BDNF pathway influence alcohol cue-elicited activation in drinkers. Hum Brain Mapp. In press.
  17. Chen F, Lv X, Fang J, Yu S, Sui J, Fan L, Li T, Hong Y, Wang X, Wang W, Jiang T. The effect of body-mind relaxation meditation induction on major depressive disorder: a resting-state fMRI study. Journal of Affective Disorders. In press.(IF: 3.38)
  18. Kuang L, Lin Q, Gong XF, Cong F, Sui J, and Calhoun VD. Multi-Subject fMRI Analysis via Combined Independent Component Analysis and Shift-Invariant Canonical Polyadic Decomposition. Journal of Neuroscience Methods, in press. (IF: 2.7)
  19. Sui X, Zhu M, Cui Y, Yu C, Sui J, Zhang X, Liu J, Duan Y, Zhang Z, Wang L, Zhang X, Jiang T. Functional connectivity hubs could serve as a potential biomaker in Alzheimer's disease: a reproducible study. Curr Alzheimer Res. 2015 Jul 10.(IF: 3.9)
  20. Yu Q, Sui J , Liu J, Plis SM, Kiehl KA, Pearlson GD, and Calhoun VD. 2013. Disrupted correlation between low frequency power and connectivity strength of resting state brain networks in schizophrenia. Schizophrenia Research. 143(1):165-71.
  21. Yu Q, Sui J, Kiehl, K.A., Pearlson, G., Calhoun, V.D., 2013. State-related functional integration and functional segregation brain networks in schizophrenia. Schizophrenia Research. 150, 450-458.
  22. Yu Q, Allen EA, Sui J, Arbabshirani MR, Pearlson, G., Calhoun, VD., 2012. Brain connectivity networks in schizophrenia underlying resting state functional magnetic resonance imaging. Curr Top Med Chem 12, 2415-2425.
  23. Yu Q, Allen EA, Sui J, Fusar-Poli P, Arbabshirani MR, Pearlson GD, Calhoun VD.2013. Brain connectivity network in schizophrenia underlying resting state functional magnetic resonance imaging. Frontiers in Human Neuroscience. In press.
  24. Yu, Q., Allen, E.A., Sui J ., Arbabshirani, M.R., Pearlson, G., Calhoun, V.D., 2012. Brain connectivity networks in schizophrenia underlying resting state functional magnetic resonance imaging. Curr Top Med Chem 12, 2415-2425.
  25. Chen, J., Calhoun, V.D., Pearlson, G.D., Perrone-Bizzozero, N., Sui J ., Turner, J.A., Bustillo, J.R., Ehrlich, S., Sponheim, S.R., Canive, J.M., Ho, B.C., Liu, J., 2013. Guided exploration of genomic risk for gray matter abnormalities in schizophrenia using parallel independent component analysis with reference. Neuroimage 83C, 384-396.
  26. Calhoun VD, Sui J , Kiehl KA, Turner JA, Allen EA and Pearlson GD. 2012. Exploring the Psychosis Functional Connectone: Aberrant Intrinsic Networks in Schizophrenia and Bipolar Disorder. Frontiers in Psychiatry. 2:75.
  27. He H, Sui J , Yu Q, Turner JA, Ho BC, Sponheim SR, Manoach DS, Clark VP, Calhoun VD. 2012. Altered Small-World Brain Networks in Schizophrenia Patients during Working Memory Performance. PLoS ONE, 7(6): e38195.
  28. Yu Q., Sui J. , Rachakonda S., He H.,Gruner. W, Pearlson, GD., Kiehl, KA., and Calhoun, VD. 2011. Altered topological properties of functional network connectivity in schizophrenia during resting state: a small-world brain network study, PLoS ONE, 6(9): e25423.
  29. Yu Q, Sui J , Rachakonda S, He H, Pearlson GD, Calhoun VD 2011. Altered small-world brain networks in temporal lobe in patients with schizophrenia performing an auditory oddball task. Frontiers in System Neuroscience. 5:7.
  30. Yu Q, Plis, S.M., Erhardt, E.B., Allen, E.A., Sui J, Kiehl, K.A., Pearlson, G., Calhoun, V.D., 2012. Modular Organization of Functional Network Connectivity in Healthy Controls and Patients with Schizophrenia during the Resting State. Front Syst Neurosci 5, 103.
  31. Caprihan A., Abbott C., Yamamoto J., Pearlson GD, Perrone-Bizzozero N., Sui J. and Calhoun VD. Brain Connectivity. 2011. Source-Based Morphometry Analysis of Group Differences in Fractional Anisotropy in Schizophrenia. Brain Connectivity. 1(2): 133-145.
  32. Castro E, Martinez-Ramon M, Pearlson GD, Sui J , Calhoun VD. 2011. Characterization of groups using composite kernels and multi-source fMRI analysis data: Application to schizophrenia. Neuroimage. 58: 526-536.
  33. Kim DI, Sui J , Rachakonda S, White T, Manoach D, Clark VP, Ho BC, Schulz CS, Calhoun VD 2010. Identification of Imaging Biomarkers in Schizophrenia: A coefficient-constrained independent component analysis of the mind multi-site schizophrenia study. Neuroinfomatics. 8(4):213–229.
  34. Yang H, Liu J, Sui J, Pearlson GD, Calhoun VD 2010. A Hybrid Machine Learning Method for Fusing FMRI Data and Genetic Data to Classify Schizophrenia. Frontiers in Human Neuroscience. 4, 192.
  35. Liu J, Hutchison K, Perrone-Bizzozero N, Morgan M, Sui J, Calhoun VD. 2011. Identification of Genetic and Epigenetic Marks Involved in Population Structure. PLoS ONE. 5(10):e13209.

Awards and Honors

2015        Selected Young PI of CAS Center for Excellent in Brain Science and Intelligence Technology

2014        Best Lecture, in the 11th Annual Conference of Neuroscience, Nanchang, China

2013        International Talents Plan Awardee, Chinese Academy of Science 

2012        Abstract Awards by Organization for Human Brain Mapping (OHBM, top 5%)

2010        The Mind Research Network Internal Award for Young Investigators

2009        Abstract Awards by Organization for Human Brain Mapping (OHBM, top 5%)

2008        Travel awards of ISMRM 2008, Toronto, Canada

2007        “Scientific and Technological Achievement of the Chinese Ministry of Education” for the work of “Research on Image Super-resolution Algorithm and Its Applications”


Funding Support

Active:

100 Talents Plan, Chinese Academy of Science                                                          10/1/2013-3/31/2017

Discriminating mood disorders by N-way multimodal fusion of brain imaging data

Role: Principal Investigator

Natural Science Foundation of China                                                                           1/1/2015-12/31/2018

Identification of multimodal biomarkers of schizophrenia cognitive deficits based on MCCB

Role: Principal Investigator

State High-tech Plan, 2015AA020513                                                                          1/1/2015-12/31/2017

Key techniques for identification of quantitative multimodal neuroimaging markers of major depression disorders

Role: Principal Investigator

Completed

DE-FG02-08ER64581(completed)        DOE Award                                                     2/1/2010-1/31/2011

Exploring Similarity and Differences among Schizophrenia and Bipolar Disorders by Combining fMRI and DTI: A Multimodal Study

Role: Principal Investigator

R01 EB 006841(completed)  NIH/NIBIB                                                                       4/1/2007-6/30/2011

Fusing multi-task and multi-modal brain imaging data and identify the potential biological markers

Role: Co-Investigator

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