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Xiaobo Li

Contact Info

Title: Associate Professor
Office: Fenster Hall 613, 323 Martin Luther King Blvd
Phone: 973-596-5880
Dept: Biomedical Engineering



About Dr. Li


Dr. Xiaobo Li is an Associate Professor and Director of the Computational Neuroanatomy and Neuroinformatics lab (CNN lab) in the Department of Biomedical Engineering at New Jersey Institute of Technology (NJIT). Dr. Li received her Ph.D. in 2004 from the University of Birmingham, UK, on geometrical modeling in digitized data. She has extensive research experience in developing and translating mathematical techniques to quantitatively evaluate the structural and functional organization in the human brain using structural MRI/fMRI/DTI data, and extensive clinical application experience in brain development and disorders such as Attention Deficit/Hyperactivity Disorder (ADHD), Autism Spectrum Disorder (ASD), schizophrenia, etc.
The CNN lab is currently recruiting PhD students and Postdoctoral Research Associates who are interested in joining the lab. Undergraduates are encouraged to apply for research rotations. Please contact Dr. Li if you are interested.



Courses Taught



Research Activities


The goal of the CNN Lab directed by Dr. Li is to fill the gaps in field of Neurobiology and Neuroimaging, especially the lack of systematic construction of models for quantitative neurobiological criteria that can aid clinical diagnoses of cognitive dimensional deficits associated with severe brain disorders. The research of the CNN Lab focuses on development and implementations of analytic and statistic models for providing quantitative biological criteria that help diagnosis of cognitive deficits, by integrating high-dimensional multi-modal MR neuroimaging, clinical and behavioral data and refined imaging analysis and machine learning techniques.


Peer Reviewed Journal Articles
  1. Fengchun Wu, Yue Zhang, Yongzhe Yang, Xiaobing Lu, Ziyan Fang, Jianwei Huang, Lingyin Kong, Jun Chen, Yuping Ning, Xiaobo Li, Kai Wu, 2018: Structural and functional brain abnormalities in drug-naïve, first-episode, and chronic patients with schizophrenia: a multimodal MRI study. Neuropsychiatric Disease and Treatment, 2018: 14, 2889 – 2904.
  2. Yuyang Luo, Kurt P. Schulz, Tara L. Alvarez, Jeffrey M. Halperin, Xiaobo Li*, 2018: Distinct topological properties of brain alerting network: Systems-level biomarkers for persistence and remission of ADHD. Cortex. Accepted.
  3. Yuyang Luo, Dana Weibman, Jeffrey Halperin, Xiaobo Li*, 2018: A Review of Heterogeneity in Attention Deficits/Hyperactivity Disorder. Frontiers in Human Neuroscience, Accepted.
  4. Yoko Nomura, Kei Davey, Patricia Pehme, Jackie Finik, Viviette Glover, Wei Zhang, Yonglin Huang,  Jessica Buthmann, Katie Dana, Sachiko Yoshida, Kenji Tsuchiya, Xiaobo Li, Jacob Ham, 2018: Influence of in-utero exposure to maternal depression and natural disaster related stress on infant temperament at 6 months: The children of Superstorm Sandy. Infant Mental Health Journal, accepted.
  5. Nicholas Van Dam, Doug Mennin, Pengfei Xu, Xiaobo Li, Peter Rubebeck, Jin Fan, 2018: F16. The Neurobehavioral Basis of Anticipated Regret and Reward in Risky and Ambiguous Decision-Making in Generalized Anxiety Disorder. Biological Psychiatry, 83 (9): S243. Doi: 10.1016/j.biopsych.2018.02.629.
  6. Ziyan Wu, Catherine Mazzola, Lori Catania, Oyindamola Owoeye, Chang Yaramothu, Tara Alvarez, Yu Gao, Xiaobo Li*, 2018: Altered Visual Attention Processing Cortical Activation and Connectivity Patterns in young adults with Traumatic Brain Injury - a functional Near Infrared Spectroscopy Study. CNS Neuroscience & Therapeutics, 2018:1-10, Article DOI: 10.1111/cns.12811.
  7.  Yu Gao, Krystal Mendel, Xiaobo Li, M Wang, 2018. Autonomic conditioning to monetary/social reinforcers and aggression in children. Aggressive Behavior, in press, Article DOI: 10.1002/ab.21738. 
  8.  Xin Di, Xiaobo Li, Bharat Biswal, 2018. Disrupted focal white matter integrity in autism spectrum disorder: a voxel-based meta-analysis of diffusion tensor imaging studies. Progress in Neuropsychopharmacology & Biological Psychiatry, 2018 March; 82: 242-248. DOI: 10.1016/J.PNPBP.2017.11.007.
  9.  Yu Gao, Wei Zhang, Hedwig Eisenbarth, Annis Lai-Chu Fung, Matthew Lu, Adrian Raine, Tatia Lee, Xiaobo Li, 2018: P3 Amplitude and Psychopathic Traits in Youths: Distinct Contributions of the Grandiose-Manipulative and Daring-Impulsivity Traits. Personality and individual differences, 120 (2018) 87-94. DOI: 10.1016/j.paid.2017.08.017
  10. Tingting Wu, Alexander Dufford, Laura Egan, Melissa-Ann Mackie, Cong Chen, Changhe Yuan, Chao Chen, Xiaobo Li, Xun Liu, Patrick Hof, Jin Fan*, 2017: Hick-Hyman law is mediated by the cognitive control network in the brain. Cerebral Cortex, 2017 1-16. Doi: 10.1093/cercor/bhx127.
  11. Kurt Schulz#, Xiaobo Li#, Suzanne Clerkin, Jin Fan, Olga Berwid, Jeffrey Newcorn, Jeffrey Halperin, 2017: Prefrontal and parietal correlates of cognitive control related to the adult outcome of attention-deficit/hyperactivity disorder diagnosed in childhood. Cortex, 90 (2017) 1-11. Doi: 10.1016/j.cortex.2017.01.019.
  12. Chenyang Zhan, Yuhong Liu, Kai Wu, Yu Gao, Xiaobo Li*, 2017: Structural and functional abnormalities in children with ADHD: a focus on subgenual anterior cingulate cortex. Brain Connectivity, Mar 2017, 7(2): 106-114. doi: 10.1089/brain.2016.0444.
  13. Yu Gao*, Yonglin Huang, Xiaobo Li, 2017: Interaction between prenatal maternal stress and autonomic arousal in predicting conduct problems and psychopathic traits in children. Journal of Psychopathology and Behavioral Assessment, 39 (1) 1-14. doi: 10.1007/S10862-016-9556-8.
  14. Xiaobo Li*, Heidi Thermenos, Ziyan Wu, Yoko Momura, Kai Wang, Matcheri Keshavan, Lawrence Seidman, Lynn DeLisi, 2016: Abnormal verbal-spatial interactive memory networks in young people at familial high-risk for schizophrenia. Schizophrenia Research, 176 (2016), 100-105.
  15. Xiaobing Lu, Yongzhe Yang, Fengchun Wu, Minjian Gao, Yong Xu, Yue Zhang, Yongcheng Yao, Xin Du, Chengwei Li, Lei Wu, Xiaomei Zhong, Yanling Zhou, Ni Fan, Yingjun Zheng, Hongjun Peng, Javier Escudero, Biao Huang, Xiaobo Li, Yuping Ning, Kai Wu, 2016: Discriminative analysis of schizophrenia using support vector machine and recursive feature elimination on structural MRI images. Medicine, vol 95 (2016), no. 30, e3973., 10.1097/MD.0000000000003973.
  16. Feng Shi, Yong Liu, Shuyu Li, Xiaobo Li, Martin Walter, 2016: Brain Network Architecture and Plasticity: MR Neuroimaging Perspectives, Neural Plasticity, (2016) article ID 6952169. doi:10.1155/2016/6952169.
  17. Henry Talasan, Mitchell Scheiman, Xiaobo Li, Tara Alverez, 2016:  Disparity vergence responses before versus after repetitive vergence therapy in binocularly normal controls. Journal of Vision. (2016) 16 (1): 1-19.
  18. Shuyu Li, Shaoyi Wang, Xinwei Li, Qiongling Li, Xiaobo Li*, 2015: Abnormal surface morphology of the central sulcus in children with attention-deficit/hyperactivity disorder, Frontiers in Neuroanatomy, Aug 28, 2015, V9, article 14.
  19. Xiaobo Li*, Margaret Black, Shugao Xia, Chenyang Zhan, Hilary Bertisch, Craig Branch, Lynn DeLisi, 2015: Subcortical structure alterations impact language processing in individuals with schizophrenia and those at high genetic risk. Schizophrenia Research, 169 (2015): 76-82.
  20. Shugao Xia, John Foxe, Ariane E. Sroubek, Craig Branch, Xiaobo Li*, 2014: Topological organization of the small-world visual attention network in children with attention deficit/hyperactivity disorder (ADHD). Frontiers Human Neuroscience, March 2014, volume 8, article 162. (Frontiers Top 10 neuroscience research articles blog post).
  21. Xiaobo Li*, Shugao Xia, Angelica De La Fuente, Craig Branch, 2013: The Role of Pulvinar-Cortical Functional Brain Pathways in Attention-Deficit/Hyperactivity Disorder, Journal of the American Academy of Child & Adolescent Psychiatry, 52:756-758.
  22. Angelica De La Fuente, Xiaobo Li*, 2013: A review of attention-deficit/hyperactivity disorder from the perspective of brain networks. Frontiers: Human Neuroscience , 2013 (7) 192.
  23. Jianghong Liu, Changhao Yin, Shugao Xia, Longfei Jia, Yanqin Guo, Zhilian Zhao, Xiaobo Li*, Ying Han1*, Jianping, 2013: White matter changes in patients with amnestic mild cognitive impairment detected by diffusion tensor imaging. PLoS ONE, March 2013, 8(3), e59440.
  24. Ariane Sroubek, Mary Kelly, Xiaobo Li*, 2013: Inattentiveness in Attention Deficit/ Hyperactivity Disorder. Neuroscience Bulletin, 2013, 29(1): 103–110.
  25. Kai Wu, Yasuyuki Taki, Kazunori Sato, Hiroshi Hashizume, Yuko Sassa, Hikaru Takeuchi, Benjamin Thyreau, Yong He, Alan C. Evans, Xiaobo Li, Ryuta Kawashima, Hiroshi Fukuda, 2013: Topological organization of functional brain networks in healthy children: Differences in relation to age, sex, and intelligence. Plos ONE, February 2013, 8(2), e55347.
  26. Xiaobo Li*, Ariane Sroubek, Mary S. Kelly, Iris Lesser, Elyse Sussman, Yong He, Craig Branch, John J. Foxe, 1012: Atypical Pulvinar-cortical Pathways during Sustained Attention Performance in Children with Attention-Deficit/Hyperactivity Disorder. Journal of the American Academy of Child & Adolescent Psychiatry, 51:11, p1197-1207.e4, Nov 2012. (Editor commended article).
  27. Shugao Xia, Xiaobo Li*, Ariane E. Kimball, Mary S. Kelly, Iris Lesser, Craig Branch, 2012: Thalamic Shape and Connectivity Abnormalities in Children with Attention Deficit/Hyperactivity Disorder. Psychiatry Research Neuroimaging, 204 (2012) 161-167.
  28. Xiaobo Li*, Shugao Xia, Hilary C. Bertisch, Craig A. Branch, Lynn E. DeLisi, 2012: Unique topology of language processing brain network: A systems-level biomarker of schizophrenia. Schizophrenia Research, 2012, 141: 128-136.
  29. Xiaobo Li*, 2012: Advances in Meeting the Needs of Open Access: From the Field of Psychiatric Disorders to General Public. Journal of Genetic Syndromes & Gene Therapy, doi: 10.4172/2157-7412.1000e103.
  30. Xiaobo Li*, Venkatesh Alapati, Courtney Jackson, Shugao Xia, Hilary C. Bertisch, Craig A. Branch, Lynn E. DeLisi, 2011: Structural Abnormalities in Language Circuits in Genetic High-risk Subjects and Schizophrenia Patients. Psychiatry Research Neuroimaging, 201 (2012), 182-189.
  31. Xiaobo Li*, Lynn Delisi, 2011. Chapter 7: White Matter Abnormalities in Schizophrenia Patients and Genetic High-risk Subjects. Schizophrenia Research: Recent Advances. Nova Science Publishers INC., NY. Editor Tomiki Sumiyoshi. ISBN: 978-1-61942-459-3
  32. Xiaobo Li*, Craig Branch, Lynn Delisi, 2010: Disturbed Functional Connectivity of Cortical Activation during semantic discrimination in patients with schizophrenia and subjects at genetic high-risk. Brain Imaging and Behavior, 4: 109-120.
  33.  Xiaobo Li*, Craig Branch, Lynn DeLisi, 2009. Language pathway abnormalities in schizophrenia: a review of fMRI and other imaging studies. Current Opinion in Psychiatry, 22:2, 131-139.
  34.  Xiaobo Li*, Craig Branch, Hilary Bertisch, Kyle Brown, Kamila Szulc, Babak Ardekani, Lynn Delisi 2007a: An fMRI Study of Language Processing in People at High Genetic Risk for Schizophrenia. Schizophrenia Research, 91: 62-72.
  35.  Xiaobo Li*, Jiefeng Jiang, Wanlin Zhu, Tianzi Jiang, Yufeng Wang. 2007b. Asymmetry of Prefrontal Cortical Convolution Complexity in Males with Attention-Deficit/Hyperactivity Disorder Using Fractal Information Dimension. Brain and Development, 29: 649-655.
  36.  Xiaobo Li, Robert Cripps 2007c: Algorithm for Finding All K-Nearest Neighbours in 3D Scattered Points and Its Application in Reverse Engineering. Journal of Engineering Design and Manufacture, 221: 1467-1472.
  37.  Xiaobo Li, Craig Branch, Babak Ardekani, Hilary Bertisch, Chindo Hicks, Lynn E. DeLisi, 2007d. fMRI Study of Language Activation in Schizophrenia, Schizoaffective Disorder and in Individuals Genetically at High Risk. Schizophrenia Research, 96: 14-24.
  38.  Lynn Delisi, Hilary Bertish, Kyle Brown, Xiaobo Li, Babak Ardekani, Craig Branch, 2007. Early Detection and Longitudinal Follow-up of Schizophrenia Using MRI. Schizophrenia Bulletin, 33: 365-366.
  39.  Shuyu Li, Tiangzi Jiang, Xiaobo Li, Litao Zhu, Chaozhe Zhu, Sheng Xie, Yinhua Wang, Jiangxi Xiao 2007: Hippocampal Shape Analysis of Alzheimer’s Disease Based on Machine Learning Methods. American Journal of Neuroradiology, 28: 1339-1345.
  40. Lixia Tian, Tianzi Jiang, Meng Liang, Xiaobo Li, Kun Wang, Binli Cao 2007:  Stabilities of  Negative Correlations between Blood Oxygen Level-Dependent Signals Associated with Sensory and Motor Cortices. Human Brain Mapping, 28: 681-690.
  41. Wanlin Zhu, Tianzi Jiang, Xiaobo Li*, 2006. Chapter 11: Deformable Models: Theory & Biomaterial Applications. Topics in Biomedical Engineering. International Book Series. Volume-II, Springer Publishers, Editors (Jasjit S. Suri and Aly Farag), ISBN: 0-387-31204-8.
  42. Fuchun Lin, Chunshui Yu, Tianzi Jiang, Xiaobo Li, Kuncheng Li, Wen Qin, Yunyun Duan 2006: Quantitative Analysis along Pyramidal Tract by Length-Normalized Parameterization based on Diffusion Tensor Tractography: Application to Patients with Relapsing Neuromyelitis Optica. Neuroimage, 33: 154-160.


Peer Reviewed Conference Papers

  1. Ziyan Wu, Akshaya Baskar, Yuyang Luo, Xiaobo Li*. Testing cortical activation responding to visual attention in young adults with traumatic brain injury: a functional near-infrared spectroscopy pilot study. The 43rd Annual Northeast Bioengineering Conference 2017, Newark, NJ, USA.
  2. Jincheng Li, Xiaobo Li*. Understanding childhood frontal cortical gray matter development pattern in human brain. The 43rd Annual Northeast Bioengineering Conference 2017, Newark, NJ, USA.
  3. Yuyang Luo, Xiaobo Li*. Functional brain connectivity patterns for cued altering processing in young adults remitted and persistent with childhood-onset ADHD. The 43rd Annual Northeast Bioengineering Conference 2017, Newark, NJ, USA.
  4. Tianzi Jiang, Feng Shi, Wanlin Zhu, Shuyu Li, Xiaobo Li*, 2007. Shape Analysis of Human Brain with Cognitive Disorders. Proceedings of 12th International Conference on Human-Computer Interaction, Volume 12, LNCS_4561, ISBN: 978-3-540-73318-8. Beijing, China.
  5. Wanlin Zhu, Tianzi Jiang , Xiaobo Li* 2005: Local Region Based Medical Image Segmentation Using J-Divergence Measures. 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMCS05), IEEE Computer Society, pp. 181-185. Shanghai, China.
  6.  Tianzi Jiang, Xiaobo Li, Gaolong Gong, Meng Liang, Lixia Tian, Fuchun Li, Yong He, Yufeng Zang, Chaozhe Zhu, Shuyu Li, Songyuan Tang 2005: Advances on Medical Imaging and Computing. Tenth IEEE International Conference of Computer Vision (ICCV’05), CVIBA, Liu, Y. et al. (Eds.), Springer, LNCS 3150, pp. 13-23. Beijing, China.
  7.  Chaozhe Zhu, Yufeng Zang, Meng Liang, Lixia Tian, Yong He, Xiaobo Li, Manqiu Sui, Yufen Wang, Tianzi Jiang 2005: Discriminative Analysis of Brain Function at Resting-state for Attention Deficit/Hyperactivity Disorder. 8th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI’05) Duncan, J. and Gerig, G. (Eds.), Springer, LNCS 3750, pp. 468-475. Palm Spring, USA.
  8. Li X, Cripps R, Ball A. Data Segmentation Using Implicit Surfaces, Edited by Hinduja S. 34th International MATADOR Conference. 75-80. 2004,  Springer. Manchester, UK.
  9. Li X, Cripps R. Geometric Property Estimation from 3D Range Data Aided by Local Quadric Surface Fitting. Computer Aided Design and Computer Graphics 2005, 313-319. 
  10. Li X, Ball A, Cripps R: Geometric Feature Estimation from 3D Digitized Data. Geometric Modelling 2003,1-8.