Braingb: a benchmark for brain network analysis with graph neural networks
Mapping the connectome of the human brain using structural or functional connectivity has
become one of the most pervasive paradigms for neuroimaging analysis. Recently, Graph …
become one of the most pervasive paradigms for neuroimaging analysis. Recently, Graph …
Graph neural networks in network neuroscience
A Bessadok, MA Mahjoub… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Noninvasive medical neuroimaging has yielded many discoveries about the brain
connectivity. Several substantial techniques mapping morphological, structural and …
connectivity. Several substantial techniques mapping morphological, structural and …
Deep reinforcement learning guided graph neural networks for brain network analysis
Modern neuroimaging techniques enable us to construct human brains as brain networks or
connectomes. Capturing brain networks' structural information and hierarchical patterns is …
connectomes. Capturing brain networks' structural information and hierarchical patterns is …
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 …
Braingnn: Interpretable brain graph neural network for fmri analysis
Understanding which brain regions are related to a specific neurological disorder or
cognitive stimuli has been an important area of neuroimaging research. We propose …
cognitive stimuli has been an important area of neuroimaging research. We propose …
Interpretable graph neural networks for connectome-based brain disorder analysis
Human brains lie at the core of complex neurobiological systems, where the neurons,
circuits, and subsystems interact in enigmatic ways. Understanding the structural and …
circuits, and subsystems interact in enigmatic ways. Understanding the structural and …
Joint embedding of structural and functional brain networks with graph neural networks for mental illness diagnosis
Multimodal brain networks characterize complex connectivities among different brain
regions from both structural and functional aspects and provide a new means for mental …
regions from both structural and functional aspects and provide a new means for mental …
Pooling regularized graph neural network for fmri biomarker analysis
Understanding how certain brain regions relate to a specific neurological disorder has been
an important area of neuroimaging research. A promising approach to identify the salient …
an important area of neuroimaging research. A promising approach to identify the salient …
GraphVar: a user-friendly toolbox for comprehensive graph analyses of functional brain connectivity
Background Graph theory provides a powerful and comprehensive formalism of global and
local topological network properties of complex structural or functional brain connectivity …
local topological network properties of complex structural or functional brain connectivity …
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 …