Multimodal Neuroimaging for Neuropsychiatric Disorders Laboratory

Multimodal Neuroimaging for Neuropsychiatric Disorders Laboratory

Assoc. Prof. Juan Helen Zhou
Principal Investigator

helen.zhou@nus.edu.sg

The Multimodal Neuroimaging in Neuropsychiatric Disorders Laboratory (MNNDL) is a multidisciplinary research laboratory at the Center for Sleep and Cognition. 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 aging brain and symptoms-related changes in diseases such as neurodegenerative disorders and psychosis. Statistical, computational, 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.

Visit our Website: http://neuroimaginglab.org

Research Focus
  • 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 aging brain
  • Investigate the underlying neural mechanism of brain-computer interface-based intervention
  • Examine the influence of amyloid-beta, tau, and cerebrovascular pathology as well as other risk factors on brain integrity and cognition in aging
  • Develop machine learning and statistical methods for big data analysis, brain-behavior associations, and disease prognosis

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