ArticleFrontiers in neuroscience2021
Constructing Dynamic Brain Functional Networks via Hyper-Graph Manifold Regularization for Mild Cognitive Impairment Classification.
Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Executive Function Deficit and Medial Temporal Lobe Atrophy in Late-Life Depression: Pathophysiological and Therapeutic Implications.Alpha psychiatry · 2026Article
- Functional Connectome Controllability in Patients with Mild Cognitive Impairment after Repetitive Transcranial Magnetic Stimulation of the Dorsolateral Prefrontal Cortex.Journal of clinical medicine · 2024Article
- End-stage renal disease accompanied by mild cognitive impairment: A study and analysis of trimodal brain network fusion.PloS one · 2024Article
- Multimodal Classification Framework Based on Hypergraph Latent Relation for End-Stage Renal Disease Associated with Mild Cognitive Impairment.Bioengineering (Basel, Switzerland) · 2023Article
- Dynamic weighted hypergraph convolutional network for brain functional connectome analysis.Medical image analysis · 2023Article
- Multi-Modal Feature Selection with Feature Correlation and Feature Structure Fusion for MCI and AD Classification.Brain sciences · 2022Article
- Research on Pathogenic Hippocampal Voxel Detection in Alzheimer's Disease Using Clustering Genetic Random Forest.Frontiers in psychiatry · 2022Article
- Research on Voxel-Based Features Detection and Analysis of Alzheimer's Disease Using Random Survey Support Vector Machine.Frontiers in neuroinformatics · 2022Article
- A Triple-Network Dynamic Connection Study in Alzheimer's Disease.Frontiers in psychiatry · 2022Article
- Integration and Segregation of Dynamic Functional Connectivity States for Mild Cognitive Impairment Revealed by Graph Theory Indicators.Contrast media & molecular imaging · 2021Article
- BCNet: A Novel Network for Blood Cell Classification.Frontiers in cell and developmental biology · 2021Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brain functional networks (BFNs) constructed via manifold regularization (MR) have emerged as a powerful tool in finding new biomarkers for brain disease diagnosis. However, they only describe the pair-wise relationship between two brain regions, and cannot describe the functional interaction between multiple brain regions, or the high-order relationship, well. To solve this issue, we propose a method to construct dynamic BFNs (DBFNs) via hyper-graph MR (HMR) and employ it to classify mild cognitive impairment (MCI) subjects. First, we construct DBFNs via
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