[HTML][HTML] Linking structure and function in macroscale brain networks
Structure–function relationships are a fundamental principle of many naturally occurring
systems. However, network neuroscience research suggests that there is an imperfect link …
systems. However, network neuroscience research suggests that there is an imperfect link …
[HTML][HTML] Fixel-based analysis of diffusion MRI: methods, applications, challenges and opportunities
Diffusion MRI has provided the neuroimaging community with a powerful tool to acquire in-
vivo data sensitive to microstructural features of white matter, up to 3 orders of magnitude …
vivo data sensitive to microstructural features of white matter, up to 3 orders of magnitude …
Understanding graph embedding methods and their applications
M Xu - SIAM Review, 2021 - SIAM
Graph analytics can lead to better quantitative understanding and control of complex
networks, but traditional methods suffer from the high computational cost and excessive …
networks, but traditional methods suffer from the high computational cost and excessive …
Computational network biology: data, models, and applications
Biological entities are involved in intricate and complex interactions, in which uncovering the
biological information from the network concepts are of great significance. Benefiting from …
biological information from the network concepts are of great significance. Benefiting from …
Local structure-function relationships in human brain networks across the lifespan
A growing number of studies have used stylized network models of communication to predict
brain function from structure. Most have focused on a small set of models applied globally …
brain function from structure. Most have focused on a small set of models applied globally …
[HTML][HTML] Structure-function coupling in the human connectome: A machine learning approach
While the function of most biological systems is tightly constrained by their structure, current
evidence suggests that coupling between the structure and function of brain networks is …
evidence suggests that coupling between the structure and function of brain networks is …
Edges in brain networks: Contributions to models of structure and function
Network models describe the brain as sets of nodes and edges that represent its distributed
organization. So far, most discoveries in network neuroscience have prioritized insights that …
organization. So far, most discoveries in network neuroscience have prioritized insights that …
Distance-dependent consensus thresholds for generating group-representative structural brain networks
Large-scale structural brain networks encode white matter connectivity patterns among
distributed brain areas. These connection patterns are believed to support cognitive …
distributed brain areas. These connection patterns are believed to support cognitive …
Diffusion kernel attention network for brain disorder classification
Constructing and analyzing functional brain networks (FBN) has become a promising
approach to brain disorder classification. However, the conventional successive construct …
approach to brain disorder classification. However, the conventional successive construct …
Attention-diffusion-bilinear neural network for brain network analysis
Brain network provides essential insights in diagnosing many brain disorders. Integrative
analysis of multiple types of connectivity, eg, functional connectivity (FC) and structural …
analysis of multiple types of connectivity, eg, functional connectivity (FC) and structural …