Recent developments in the quantitative analysis of complex networks, based largely on graph theory, have been rapidly translated to studies of brain network organization. The brain's structural ...

Through the combination of R-fMRI and graph theory-based network analysis techniques, intrinsic functional networks of the human brain have been generated and demonstrate converging and highly ...

The human brain processes plenty of information from different senses, auditory and visual information for example, and then makes decision to guide our behaviors depending on their meaning. The brain ...

Functional Magnetic Resonance Imaging (fMRI) is an imaging technique that allows to explore brain function in vivo. Many methods dedicated to analyzing these data are based on graph modeling, each ...

Background: The objective of the present study is to explore whether acute stroke may result in changes in brain network architecture by electroencephalography functional coupling analysis and graph ...

Results The performance of our graph neural network models is on par with that of our machine learning models, each of which is trained using 69 graph-theoretical measures computed from functional ...

Don’t miss our workshop, "Introducing Beacon Discovery: Bringing Live Single-Cell Multi-Parameter Functional Analysis to Every Lab," on April 27th at 3:30 PM CST.