Deep manifold harmonic network with dual attention for brain disorder classification
Numerous studies have shown that accurate analysis of neurological disorders contributes
to the early diagnosis of brain disorders and provides a window to diagnose psychiatric …
to the early diagnosis of brain disorders and provides a window to diagnose psychiatric …
Brain fingerprinting using EEG graph inference
Taking advantage of the human brain functional connectome as an individual's fingerprint
has attracted great research in recent years. Conventionally, Pearson correlation between …
has attracted great research in recent years. Conventionally, Pearson correlation between …
Brain Network Classification for Accurate Detection of Alzheimer's Disease via Manifold Harmonic Discriminant Analysis
Mounting evidence shows that Alzheimer's disease (AD) manifests the dysfunction of the
brain network much earlier before the onset of clinical symptoms, making its early diagnosis …
brain network much earlier before the onset of clinical symptoms, making its early diagnosis …
[HTML][HTML] Learning dynamic graph embeddings for accurate detection of cognitive state changes in functional brain networks
Mounting evidence shows that brain functions and cognitive states are dynamically
changing even in the resting state rather than remaining at a single constant state. Due to …
changing even in the resting state rather than remaining at a single constant state. Due to …
Robust multi-view clustering through partition integration on stiefel manifold
Multi-view clustering aims at integrating information from different views to improve
clustering performance. Recent methods integrate multiple view-specific partition matrices to …
clustering performance. Recent methods integrate multiple view-specific partition matrices to …
Learning pyramidal multi-scale harmonic wavelets for identifying the neuropathology propagation patterns of Alzheimer's disease
Previous studies have established that neurodegenerative disease such as Alzheimer's
disease (AD) is a disconnection syndrome, where the neuropathological burdens often …
disease (AD) is a disconnection syndrome, where the neuropathological burdens often …
Gating attractor dynamics of frontal cortex under acupuncture via recurrent neural network
K Li, J Wang, Z Hu, B Deng, H Yu - IEEE Journal of Biomedical …, 2022 - ieeexplore.ieee.org
Acupuncture can regulate the functions of human body and improve the cognition of brain.
However, the mechanism of acupuncture manipulations remains unclear. Here, we …
However, the mechanism of acupuncture manipulations remains unclear. Here, we …
Estimating the connectional brain template based on multi-view networks with bi-channel graph neural network
J Li, Z Lyu, K Li, L Yao, X Guo - Biomedical Signal Processing and Control, 2024 - Elsevier
Multi-view networks constructed from multiple brain functional or structural measures (eg,
fractional anisotropy, fiber number, and fiber length, etc.) describe brain connectivity from …
fractional anisotropy, fiber number, and fiber length, etc.) describe brain connectivity from …
Estimating Outlier-Immunized Common Harmonic Waves for Brain Network Analyses on the Stiefel Manifold
Since brain network organization is essentially governed by the harmonic waves derived
from the Eigen-system of the underlying Laplacian matrix, discovering the harmonic-based …
from the Eigen-system of the underlying Laplacian matrix, discovering the harmonic-based …
Connectome-based prediction modeling of cognitive control using functional and structural connectivity
Background Cognitive control involves flexibly configuring mental resources and adjusting
behavior to achieve goal-directed actions. It is associated with the coordinated activity of …
behavior to achieve goal-directed actions. It is associated with the coordinated activity of …