Brain network transformer
Human brains are commonly modeled as networks of Regions of Interest (ROIs) and their
connections for the understanding of brain functions and mental disorders. Recently …
connections for the understanding of brain functions and mental disorders. Recently …
Fbnetgen: Task-aware gnn-based fmri analysis via functional brain network generation
Functional magnetic resonance imaging (fMRI) is one of the most common imaging
modalities to investigate brain functions. Recent studies in neuroscience stress the great …
modalities to investigate brain functions. Recent studies in neuroscience stress the great …
Joint Gaussian graphical model estimation: A survey
Graphs representing complex systems often share a partial underlying structure across
domains while retaining individual features. Thus, identifying common structures can shed …
domains while retaining individual features. Thus, identifying common structures can shed …
Learning task-aware effective brain connectivity for fmri analysis with graph neural networks
Functional magnetic resonance imaging (fMRI) has become one of the most common
imaging modalities for brain function analysis. Recently, graph neural networks (GNN) have …
imaging modalities for brain function analysis. Recently, graph neural networks (GNN) have …
Identifying covariate-related subnetworks for whole-brain connectome analysis
Whole-brain connectome data characterize the connections among distributed neural
populations as a set of edges in a large network, and neuroscience research aims to …
populations as a set of edges in a large network, and neuroscience research aims to …
Extracting brain disease-related connectome subgraphs by adaptive dense subgraph discovery
Group-level brain connectome analysis has attracted increasing interest in neuropsychiatric
research with the goal of identifying connectomic subnetworks (subgraphs) that are …
research with the goal of identifying connectomic subnetworks (subgraphs) that are …
Nutritional supplement induced modulations in the functional connectivity of a porcine brain
Background Functional connectivity (FC) measures statistical dependence between cortical
brain regions. Studies of FC facilitate understanding of the brain's function and architecture …
brain regions. Studies of FC facilitate understanding of the brain's function and architecture …
Differentially describing groups of graphs
How does neural connectivity in autistic children differ from neural connectivity in healthy
children or autistic youths? What patterns in global trade networks are shared across …
children or autistic youths? What patterns in global trade networks are shared across …
Deep dag learning of effective brain connectivity for fmri analysis
Functional magnetic resonance imaging (fMRI) has become one of the most common
imaging modalities for brain function analysis. Recently, graph neural networks (GNN) have …
imaging modalities for brain function analysis. Recently, graph neural networks (GNN) have …
An expectation conditional maximization approach for Gaussian graphical models
ZR Li, TH McCormick - Journal of Computational and Graphical …, 2019 - Taylor & Francis
Bayesian graphical models are a useful tool for understanding dependence relationships
among many variables, particularly in situations with external prior information. In high …
among many variables, particularly in situations with external prior information. In high …