Principal Investigators //

Jing Sui, PhD

Assistant Professor of Translational Neuroscience

Jing Sui

Dr. Sui specializes in brain imaging data analysis, especially the multimodal data fusion and classification. Her research focuses on combining multiple data types (fMRI, DTI, sMRI, genetics) smartly in a joint analysis so as to identify the potential biomarkers for certain brain diseases, which takes advantage of the fact that each modality provides a limited view of the brain. Her research also involves developing novel methods to better understand and discriminate brain disorders, such as schizophrenia from bipolar disorder. Dr. Sui is also familiar with image/signal processing (infrared video sequence processing), multivariate modeling, machine learning and large-scale data mining.

Email Dr. Sui

Selected Publications //

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

Each brain imaging modality reports on a different aspect of the brain with different strengths and weaknesses and there are now literally thousands of putative imaging biomarkers. This project will develop multivariate methods which use higher order statistics to combine diverse information in a scalable manner, identify correspondence among data types and also provide a sophisticated data sharing and management system.

Exploring similarity and differences among schizophrenia and bipolar disorder by combining fMRI and

This project will develop an exploratory data fusion model which combines 2 multivariate methods and is able to identify correspondence among multiple data types. We aim to apply this model to schizophrenia and bipolar disorder via an fMRI-DTI fusion, which can identify both shared and disease-specific brain abnormalities from multiple perspectives (brain function and structure).

Brain Connectivity Changes in Individual Subjects with Neuropsychological Disease

Methods to provide better characterization of functional and structural brain network connectivity in patients with schizophrenia and addiction are being developed.(Calhoun et al., 2009; Greicius et al., 2007; Lynall et al., 2010; van den Heuvel et al., 2010)  The goal is to provide accurate markers of disease progression in individual subjects with neuropsychological diseases associated with brain connectivity alterations.