Classifying ASD based on time-series fMRI using spatial–temporal transformer
As the prevalence of autism spectrum disorder (ASD) increases globally, more and more
patients need to receive timely diagnosis and treatment to alleviate their suffering. However …
patients need to receive timely diagnosis and treatment to alleviate their suffering. However …
Discovering robust biomarkers of neurological disorders from functional MRI using graph neural networks: A Review
Graph neural networks (GNN) have emerged as a popular tool for modelling functional
magnetic resonance imaging (fMRI) datasets. Many recent studies have reported significant …
magnetic resonance imaging (fMRI) datasets. Many recent studies have reported significant …
Autism spectrum disorder diagnosis based on deep unrolling-based spatial constraint representation
Accurate diagnosis of autism spectrum disorder (ASD) is crucial for effective treatment and
prognosis. Functional brain networks (FBNs) constructed from functional magnetic …
prognosis. Functional brain networks (FBNs) constructed from functional magnetic …
Spatio-Temporal Hybrid Attentive Graph Network for Diagnosis of Mental Disorders on fMRI Time-Series Data
Facing the prevalence of mental disorders around the world, the burden of healthcare
services becomes increasingly imminent. To lessen patients' suffering, the timely diagnosis …
services becomes increasingly imminent. To lessen patients' suffering, the timely diagnosis …
[HTML][HTML] IFC-GNN: Combining interactions of functional connectivity with multimodal graph neural networks for ASD brain disorder analysis
X Wang, X Zhang, Y Chen, X Yang - Alexandria Engineering Journal, 2024 - Elsevier
Many studies now indicate that brain disorders are associated with functional connectivity
between brain regions, but the impact of interactions among functional connections on …
between brain regions, but the impact of interactions among functional connections on …
Path-Based Heterogeneous Brain Transformer Network for Resting-State Functional Connectivity Analysis
Brain functional connectivity analysis is important for understanding brain development,
aging, sexual distinction and brain disorders. Existing methods typically adopt the resting …
aging, sexual distinction and brain disorders. Existing methods typically adopt the resting …
An Explainable Multi-atlas Fusion Model based on Spatial Overlap for ASD Diagnosis
Y Ma, X Mu, T Zhang - Proceedings of the 33rd ACM International …, 2024 - dl.acm.org
Autism spectrum disorder (ASD) is a prevalent neurodevelopmental condition. Prompt
recognition and treatment are vital for enhancing the life quality of individuals affected by …
recognition and treatment are vital for enhancing the life quality of individuals affected by …
SpaRG: Sparsely Reconstructed Graphs for Generalizable fMRI Analysis
Deep learning can help uncover patterns in resting-state functional Magnetic Resonance
Imaging (rs-fMRI) associated with psychiatric disorders and personal traits. Yet the problem …
Imaging (rs-fMRI) associated with psychiatric disorders and personal traits. Yet the problem …
An fMRI-Based Centrality Analysis of Brain Connectivity in Autism Spectrum Disorder
Recent studies have probed Autism Spectral Disorder's (ASD's) neural substrates, analyzing
brain connectivity patterns through techniques like centrality using the resting-state …
brain connectivity patterns through techniques like centrality using the resting-state …
BrainFTFCN: Synergistic feature fusion of temporal dynamics and network connectivity for brain age prediction
Z Ma, R Yang, Z Ding, J Hu, H Zhang… - 2024 46th Annual …, 2024 - ieeexplore.ieee.org
Using neuroimaging-derived data for age estimation serves as a prominent approach in
comprehending the normal pace of brain development and mechanisms underlying …
comprehending the normal pace of brain development and mechanisms underlying …