Zhou Juan

Associate Professor


Our lab studies the human neural bases of cognitive functions and the associated vulnerability patterns in aging and neuropsychiatric disorders using multimodal neuroimaging and psychophysical techniques. We are interested in the large-scale brain structural and functional networks in healthy developing and ageing brain and symptoms-related changes in diseases such as neurodegenerative disorders and psychosis. Statistical and machine learning methods are developed to analyze and fuse multimodal neuroimaging data. By integrating longitudinal behavior, neuroimaging, and genotype data, our long-term goal is to investigate the interactions among brain network dynamics, behavior, diseases, and genotypes to develop non-invasive biomarkers for early detection, differential diagnosis, progression monitoring, and treatment design.

Our current research interests include:

  • Detect early brain network changes in preclinical and clinical neuropsychiatric disorders such as Alzheimer’s disease and psychosis
  • Understand the neurophysiological signatures and behavioral relevance of time-varying brain functional connectivity
  • Examine the longitudinal brain network changes and its associations with cognitive and mental problems in the developing and ageing brain
  • Investigate the underlying neural mechanism of brain-computer interface-based intervention
  • Examine the influence of amyloid-beta, tau, and cerebrovascular pathology on brain functional and structural connectivity changes in ageing
  • Develop machine learning and statistical methods for big data analysis, brain-behavior associations, and disease prognosis

Website: www.neuroimaginglab.org  Twitter: @MNNDL_lab

  1. Chong JSX, Ng KK, Tandi J, Wang C, Poh J-H, Lo JC, Chee MWL, Zhou J. Longitudinal changes in the cerebral cortex functional organization of healthy elderly. The Journal of Neuroscience. 2019:1451-18. (JIF: 5.970)
  2. Vipin A, Ng KK, Ji F, Shim HY, Lim JKW, Pasternak O, Zhou JH, for the Alzheimer’s Disease Neuroimaging Initiative. Amyloid burden accelerates white matter degradation in cognitively normal elderly individuals. Human Brain Mapping, 2019. (JIF: 4.927)
  3. Liu S, Poh JH, Koh HL, Ng KK, Loke YM, Lim JKW, Chong JSX, Zhou J. Carrying the past to the future: Distinct brain networks underlie individual differences in human spatial working memory capacity. NeuroImage, 2018 (JIF: 6.357)
  4. Qian X, Loo BRY, Castellanos FX, Liu SW, Koh HL, Poh WXW, Krishnan R, Fung D, Chee MWL, Guan CT, Lee TS, Lim CG*, Zhou J*. Brain-computer-interface-based intervention re-normalizes brain functional network topology in children with attention deficit/hyperactivity disorder. Translational Psychiatry 2018.  (JIF:5.470)
  5. Chong JSX, Liu SW, Loke YM, Hilal S, Ikram MK, Y Xu, Tan BY, Venketasubramanian N, Chen CLH, Zhou J. Influence of cerebrovascular disease on brain networks in prodromal and clinical Alzheimer’s disease. Brain. 2017;140(11):3012-3022. (Editor’s choice, JIF: 10.292)
  6. Ho NF, Holt D, Cheung M, Iglesias JE, Goh A, Wang MY, Lim KYJ, Souza JD, Poh J, See YM, Adcock A, Wood A, Chee MWL, Lee J, Zhou J. Progressive decline in hippocampal CA1 volume in individuals at ultra-high-risk for psychosis who do not remit: Findings from the Longitudinal Youth at Risk Study. Neuropsychopharmacology. 2017; 42(6):1361-1370. (JIF:6.403)
  7. Ji F, Pasternak O, Liu SW, Choo BL, Hilal S, Xu X, Ikram K, Venketasubramanian N, Chen CLH, Zhou J. Distinct white matter microstructural abnormalities and extracellular water increases relate to cognitive impairment in AD with and without cerebrovascular disease. Alzheimer’s Research and Therapy 2017; 17:9-63. (JIF: 6.196)
  8. Wang C, Lee J, Ho NF, Lim KWJ, Poh JS, Rekhi G, Krishnan R, Keefe RSE, Adcock RA, Wood SJ, Fornito A, Chee MWL, Zhou J. Large-scale network topology reveals heterogeneity in individuals with at risk mental state for psychosis: findings from the longitudinal youth-at-risk study. Cerebral Cortex. 2017; 1-10.  (JIF: 6.943)
  9. Chong JSX, Ng GJP, Lee SC, Zhou J. Salience network connectivity in the insula is associated with individual differences in interoceptive accuracy. Brain Structure and Function. 2016; 222(4):1635-1644. (JIF:5.618)
  10. Wang C, Ong JL, Patanaik A, Zhou J*, Chee MWL*. Spontaneous eyelid closures link vigilance fluctuation with fMRI dynamic connectivity states. Proceedings of the National Academy of Science. 2016; 113(34):9653-9658. (* Joint senior) (JIF: 9.674) 
  11. Ng KK, Lo JC, Lim JKW, Chee MWL, Zhou J. Reduced functional segregation between the default mode network and the executive control network in healthy older adults: a longitudinal study. NeuroImage. 2016; 133:321-330. (JIF: 6.357)
  12. Wang C, Ji F, Hong Z, Poh JS, Krishnan R, Lee J, Rekhi G, Keefe RSE, Adcock RA, Wood SJ, Fornito A, Pasternak O, Chee MWL, Zhou J. Disrupted salience network functional connectivity and white matter microstructure in persons at risk for psychosis: findings from the LYRIKS study. Psychological Medicine. 2016; 46(13):2771-2783. (JIF = 5.938)
  13. Ho NF, Iglesias JE, Sum MY, Kuswanto C, Sitoh YY, de Souza J, Hong Z, Fischl B, Roffman J, Zhou J*, Sim K*, Holt D*. Progression from selective to general involvement of hippocampal subfields in schizophrenia, Molecular Psychiatry. 2017; 22(1):142-152 (*joint senior, JIF: 14.496) 
  14. Ho NF, Li Z*, Ji F, Wang MY, Kuswanto CN, Sum MY, Tng HY, Sitoh YY, Sim K, Zhou J. Hemispheric Lateralization Abnormalities of the White Matter Microstructure in Schizophrenia and Bipolar Disorder. Journal of Psychiatry and Neuroscience. 2017; 42(4):242-251. (*joint first) (JIF: 5.891)
  15. Klauser P, Zhou J*, Lim JK, Poh JS, Zheng H, Tng HY, Krishnan R, Lee J, Keefe RS, Adcock RA, Wood SJ, Fornito A, Chee MWL. Lack of evidence for regional brain volume or cortical thickness abnormalities in youths at clinical high risk for psychosis: Findings from the longitudinal youth at risk study. Schizophr Bull. 2015, 41(6): 1285-1293. (*Corresponding and joint first, JIF: 8.607)
  16. Hong Z, Ng KK, Sim SK, Ngeow MY, Zheng H, Lo JC, Chee MWL, Zhou J. Differential age-dependent associations of gray matter volume and white matter integrity with processing speed in healthy older adults. Neuroimage. 2015; 123: 42-50. (JIF: 6.357) 
  17. Zhou J, Seeley WW. Network Dysfunction in Alzheimer's Disease and Frontotemporal Dementia: Implications for Psychiatry. Biological Psychiatry. 2014; 75(7): 565-73. (JIF: 8.283)
  18. Zhou J, Gennatas Efstathios D, Kramer Joel H, Miller Bruce L, Seeley William W. Predicting Regional Neurodegeneration from the Healthy Brain Functional Connectome. Neuron. 2012; 73(6): 1216-27. (Cover, JIF: 15.766)
  19. Zhou J, Greicius MD, Gennatas ED, Growdon ME, Jang JY, Rabinovici GD, Kramer JH, Weiner M, Miller BL, Seeley WW. Divergent network connectivity changes in behavioural variant frontotemporal dementia and Alzheimer's disease. Brain. 2010; 133(5): 1352-67. (JIF: 9.23)
  20. Seeley WW, Crawford RK, Zhou J, Miller BL, Greicius MD. Neurodegenerative diseases target large-scale human brain networks. Neuron. 2009; 62(1): 42-52. (Cover, JIF: 15.766)
  21. Zhou J, Rajapakse JC. Segmentation of subcortical brain structures using fuzzy templates. NeuroImage. 2005; 28(4): 915-24. (JIF: 6.357)
  22. Rajapakse JC, Zhou J. Learning effective brain connectivity with dynamic Bayesian networks. NeuroImage. 2007; 37(3): 749-60. (JIF: 6.357)