Jing Sui
Brainnetome Center, Institute of Automation
Chinese Academy of Sciences, Beijing, 100190 China
kittysj@gmail.com

Abstract

The developing of various neuroimaging techniques is rapidly improving the measurements of brain function/structure. However, despite improvements in individual technique, it is becoming increasingly clear that the most effective research approaches will be multi-modal fusion, which provides more views for individual subjects and co-variation between modalities, rather than separated analysis related to each modality alone. This is a more complicated endeavor that must be approached more carefully and efficient methods should be developed to draw generalized and valid conclusions out of high dimensional data with a limited number of subjects, such as schizophrenia. Numerous research efforts have been reported in the field based on various statistical models, e.g. independent component analysis (ICA), canonical correlation analysis (CCA) and partial least squares (PLS). In this review paper, we survey a number of multivariate methods appeared in multimodal fusion reports, which are performed with or without prior information and may have utility to identify potential brain illness biomarkers. We also analyze the possible strengths and limitations of each method, and go over their applications in biomarker identification of brain disorders.

Short Bio

Dr. Jing Sui is a full professor at Institute of Automation, Chinese Academy of Science(CAS). She is the awardee of "one hundred talent plan” of CAS. Before she joined the brainnetome center,  Dr. Sui is the assistant professor of translational neuroscience at the Mind Research Network (MRN), albuquerque, NM, USA. She has been focusing on multimodal fusion methods of brain imaging data for 7 years, and developed several novel algorithms to extract joint information from multiple data types for brain biomarker identification of many brain disorders. She has published more than 60 papers and won OHBM abstract award twice. Now she is the IEEE senior member and serve as editor/reviewer for 20+ journals.