Projects

The recent development of high-temporal resolution functional PET (fPET) introduces an emerging focus on “metabolic connectivity (MC)” , providing a complementary perspective to the hemodynamic-based “functional connectivity (FC)” assessed by fMRI. In this study, we applied a connectivity based analytical scheme on a resting-state fPET-fMRI dataset, aiming to characterize the cortical organization of glucose metabolic dynamics and understand how it differs from the hemodynamics based functional network structures.

In this study, we collected calcium imaging data from zebrafish under various drug conditions using epifluorescence microscope, and explored the effects of distinct drugs on the activity and connectivity of brain networks.

In this study, we proposed a multi-regional modular recurrent neural network to simulate the cognitive processes. The model is structured into three different modules: perception, information integration, and decision. Here

Nasopharyngeal cancer is a serious tumor in the upper pharynx, requiring careful outlining of key organs for radiotherapy planning. Traditionally, this is done manually on CT images, a slow, labor-intensive process reliant on the physician’s experience.