FC-HGNN: A heterogeneous graph neural network based on brain functional connectivity for mental disorder identification
Y Gu, S Peng, Y Li, L Gao, Y Dong - Information Fusion, 2025 - Elsevier
Rapid and accurate diagnosis of mental disorders has long been an essential challenge in
clinical medicine. Due to the advantage in addressing non-Euclidean structures, graph …
clinical medicine. Due to the advantage in addressing non-Euclidean structures, graph …
[HTML][HTML] Neural modulation alteration to positive and negative emotions in depressed patients: Insights from fmri using positive/negative emotion atlas
Y Feng, W Zeng, Y Xie, H Chen, L Wang, Y Wang… - Tomography, 2024 - mdpi.com
Background: Although it has been noticed that depressed patients show differences in
processing emotions, the precise neural modulation mechanisms of positive and negative …
processing emotions, the precise neural modulation mechanisms of positive and negative …
Population-based evolutionary search for joint hyperparameter and architecture optimization in brain-computer interface
In recent years, deep learning (DL)-based models have become the de facto standard for
motor imagery brain-computer interface (MI-BCI) systems due to their notable performance …
motor imagery brain-computer interface (MI-BCI) systems due to their notable performance …
[HTML][HTML] STANet: A Novel Spatio-Temporal Aggregation Network for Depression Classification with Small and Unbalanced FMRI Data
W Zhang, W Zeng, H Chen, J Liu, H Yan, K Zhang… - Tomography, 2024 - mdpi.com
Background: Early diagnosis of depression is crucial for effective treatment and suicide
prevention. Traditional methods rely on self-report questionnaires and clinical assessments …
prevention. Traditional methods rely on self-report questionnaires and clinical assessments …
Multi-Atlas Brain Network Classification through Consistency Distillation and Complementary Information Fusion
In the realm of neuroscience, identifying distinctive patterns associated with neurological
disorders via brain networks is crucial. Resting-state functional magnetic resonance imaging …
disorders via brain networks is crucial. Resting-state functional magnetic resonance imaging …
Multi-task Learning for Brain Network Analysis in the ABCD study
The Adolescent Brain Cognitive Development study provides a rich data resource for
exploring the associations between brain connectome (network) and cognitive, personality …
exploring the associations between brain connectome (network) and cognitive, personality …