Mixing temporal graphs with MLP for longitudinal brain connectome analysis
Analyses of longitudinal brain networks, ie, graphs, are of significant interest to understand
the dynamics of brain changes with respect to aging and neurodegenerative diseases …
the dynamics of brain changes with respect to aging and neurodegenerative diseases …
Constructing consistent longitudinal brain networks by group-wise graph learning
Mounting evidence shows that many neuro-disorders can be understood as a dysfunction
syndrome where the structural and functional connectivities of the large-scale network are …
syndrome where the structural and functional connectivities of the large-scale network are …
Recurrent brain graph mapper for predicting time-dependent brain graph evaluation trajectory
Several brain disorders can be detected by observing alterations in the brain's structural and
functional connectivities. Neurological findings suggest that early diagnosis of brain …
functional connectivities. Neurological findings suggest that early diagnosis of brain …
Multi-modal dynamic graph network: Coupling structural and functional connectome for disease diagnosis and classification
Multi-modal neuroimaging technology has greatly facilitated the diagnosis efficiency and
diagnosis accuracy, and provides complementary information in discovering objective …
diagnosis accuracy, and provides complementary information in discovering objective …
BrainTGL: A dynamic graph representation learning model for brain network analysis
Modeling the dynamics characteristics in functional brain networks (FBNs) is important for
understanding the functional mechanism of the human brain. However, the current works do …
understanding the functional mechanism of the human brain. However, the current works do …
Longitudinal changes of connectomes and graph theory measures in aging
Changes in brain structure and connectivity in aging can be probed through diffusion
weighted MRI and summarized with structural connectome matrices. Complex network …
weighted MRI and summarized with structural connectome matrices. Complex network …
Learning dynamic graph representation of brain connectome with spatio-temporal attention
Functional connectivity (FC) between regions of the brain can be assessed by the degree of
temporal correlation measured with functional neuroimaging modalities. Based on the fact …
temporal correlation measured with functional neuroimaging modalities. Based on the fact …
Identifying high order brain connectome biomarkers via learning on hypergraph
The functional connectome has gained increased attention in the neuroscience community.
In general, most network connectivity models are based on correlations between discrete …
In general, most network connectivity models are based on correlations between discrete …
[HTML][HTML] A comprehensive survey of complex brain network representation
Recent years have shown great merits in utilizing neuroimaging data to understand brain
structural and functional changes, as well as its relationship to different neurodegenerative …
structural and functional changes, as well as its relationship to different neurodegenerative …
Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization
Analysis of neurodegenerative diseases on brain connectomes is important in facilitating
early diagnosis and predicting its onset. However, investigation of the progressive and …
early diagnosis and predicting its onset. However, investigation of the progressive and …