Welcome to the Laboratory of Imaging Connectomics


[This website has been moved to: http://helab.bnu.edu.cn] 🙂 

[Updated: Sep 1, 2016]


The human brain is the most complex system in nature. Our mind, cognition and behavior emerge from the highly complex communication on various levels in the brain. Changes of such network connectivity patterns may lead to neurological and neuropsychiatric disorders. The main goal of our research is to understand how the human brain networks are topologically organized in health and disease. Specifically, we focus on the macro-level of brain networks using a variety of neuroimaging data, with the following directions:

1) Construct the large-scale brain networks using multiple imaging techniques, describe the underlying topological organization using graph theory and further validate their reliability;

2) Investigate the relationships between the structural and functional brain networks and elucidate their physiological basis;

3) Study network-based biomarkers for normal development and neuropsychiatric disorders such as Alzheimer’s disease and depression;

4) Develop graph-based brain network analysis and visualization tools as well as computing cluster platform.

Much of our research occurs at the IDG/McGovern Institute for Brain Research, Beijing Normal University, and at the State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University.