1. Special Issue in Development Cognitive Neurosciences: (Call for Papers)
Welcome to Zuo Lab
The Laboratory for Functional Connectome and Development (LFCD) is led by Dr. Xi-Nian Zuo, an applied mathematician and neuroscientist at the Institute of Psychology, Chinese Academy of Sciences (IPCAS) who specializes in neuroimaging methodology and developmental neuroscience.
We have three research themes: 1) reliable neuroimaging measures (reliability and reproducibility), 2) human brain functional connectome and its development in health (normative functional connectomes) and 3) combination of the information from 1) and 2) to explore how specific aspects of psychological processes associate with brain function and mental/neurodegenerative diseases disrupt normal brain functioning (functional connectomics).
Using modern neuroimaging techniques (mainly resting-state fMRI - R-fMRI, wanna see the growth curve of R-fMRI publication?), we map the three levels of the intrinsic architecture within the brain connectome (i.e., region, subnetwork and entire functional connectome). We then direct our investigations to the brain development within different life spans, computational simulation on brain connectome and clinical psychology/psychiatry guided by our neuroimaging results.
The healthy human brain is necessarily dynamic as it underpins numerous variable brain states involving emotion, cognition, action, perception and sensation implemented through multiple interacting levels of connectome organization. Appreciation for this complexity aids the understanding of neuropsychological processes, mental disorders and neurodegenerative diseases and remains unexplained and unexplored deeply. Our work is based on the principle that understanding the functional complexity of brain connectome and its development will prove helpful, and perhaps even necessary, in the search for effective treatments.
Our long-term goal is to address the complexity of human brain connectome in its function. We use integrative neuroimaging and computational modeling methods to explore psychology/disease-related patterns and complexities of functional connectome, seeking knowledge that will translate into a better life style and diagnosis/treatment for patients.