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 …
Discriminative structured feature engineering for macroscale brain connectomes
Neuroimaging techniques can measure structural and functional brain connectivity with
unprecedented detail in vivo. This so-called brain connectome can be represented as high …
unprecedented detail in vivo. This so-called brain connectome can be represented as high …
A Multilayer Maximum Spanning Tree Kernel For Brain Networks
The brain network has been widely used for the construction of diverse brain disease
diagnosis models. Among these models, an important and challenging task is how to …
diagnosis models. Among these models, an important and challenging task is how to …
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 …
Multi-scale profiling of brain multigraphs by eigen-based cross-diffusion and heat tracing for brain state profiling
M Sağlam, I Rekik - Uncertainty for Safe Utilization of Machine Learning in …, 2020 - Springer
The individual brain can be viewed as a highly-complex multigraph (ie a set of graphs also
called connectomes), where each graph represents a unique connectional view of pairwise …
called connectomes), where each graph represents a unique connectional view of pairwise …
D-CoRP: Differentiable Connectivity Refinement for Functional Brain Networks
Brain network is an important tool for understanding the brain, offering insights for scientific
research and clinical diagnosis. Existing models for brain networks typically primarily focus …
research and clinical diagnosis. Existing models for brain networks typically primarily focus …
Estimating functional brain networks by incorporating a modularity prior
Functional brain network analysis has become one principled way of revealing informative
organization architectures in healthy brains, and providing sensitive biomarkers for …
organization architectures in healthy brains, and providing sensitive biomarkers for …
Integrating heterogeneous brain networks for predicting brain disease conditions
Human brain networks convey important insights in understanding the mechanism of many
mental disorders. However, it is difficult to determine a universal optimal among various …
mental disorders. However, it is difficult to determine a universal optimal among various …
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 …
Graph analysis of structural brain networks in Alzheimer's disease
M John, T Ikuta, J Ferbinteanu - bioRxiv, 2016 - biorxiv.org
Background Changes in brain connectivity in patients with early Alzheimer's disease (AD)
have been investigated using graph analysis. However, these studies were based on small …
have been investigated using graph analysis. However, these studies were based on small …