ArticleNetwork neuroscience (Cambridge, Mass.)2021
Regional radiomics similarity networks (R2SNs) in the human brain: Reproducibility, small-world properties and a biological basis.
Article in Network neuroscience (Cambridge, Mass.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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41 citing papers in PubMed.
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- Integrating standard and native spaces for radiomics and brain network analysis in Alzheimer's disease diagnosis and prognosis.Journal of neurology · 2026Article
- 18F-FDG PET/CT metabolic network connectivity in clinical staging of diffuse large B-cell lymphoma.Frontiers in oncology · 2026Article
- Multiscale Brain Structural Network Reorganization in Diabetic Retinopathy Using Regional Radiomics Similarity Networks.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Article
- Mapping Multiscale Brain Changes in Primary Angle-Closure Glaucoma Using Regional Radiomics Similarity Networks.Clinical ophthalmology (Auckland, N.Z.) · 2026Article
- MIND versus MSN: A systematic evaluation of test-retest reliability and age sensitivity for T1-weighted structural similarity networks.Network neuroscience (Cambridge, Mass.) · 2026Article
- Transformer-based structural connectivity networks for ADHD-related connectivity alterations.Communications medicine · 2025Article
- BrainNet-GAN: Generative Adversarial Graph Convolutional Network for Functional Brain Network Synthesis from Routine Clinical Brain Structural T1-Weighted Sequence.Brain topography · 2025Article
- Network Topography Alterations in Alzheimer's Disease: Insights From Motif Changes via Multisite Datasets (N = 3262).CNS neuroscience & therapeutics · 2025Article
- The bi-phasic behaviour of grey matter networks after the first demyelinating attack.Brain communications · 2025Article
- Structural and functional coupling alterations in autism spectrum disorder with and without comorbid attention deficit hyperactivity disorder.Frontiers in psychiatry · 2025Article
- Explainable graph neural network based on metabolic brain imaging for differential diagnosis of parkinsonism.Frontiers in aging neuroscience · 2025Article
- Brain connectome from neuronal morphology.Network neuroscience (Cambridge, Mass.) · 2025Article
- A multispatial information representation model emphasizing key brain regions for Alzheimer's disease diagnosis with structural magnetic resonance imaging.Quantitative imaging in medicine and surgery · 2024Article
- Jointly constrained group sparse connectivity representation improves early diagnosis of Alzheimer's disease on routinely acquired T1-weighted imaging-based brain network.Health information science and systems · 2024Article
- Altered structural covariance of the cortex and hippocampal formation in patients with lung cancer after chemotherapy.Heliyon · 2024Article
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Abstract
A structural covariance network (SCN) has been used successfully in structural magnetic resonance imaging (sMRI) studies. However, most SCNs have been constructed by a unitary marker that is insensitive for discriminating different disease phases. The aim of this study was to devise a novel regional radiomics similarity network (R2SN) that could provide more comprehensive information in morphological network analysis. R2SNs were constructed by computing the Pearson correlations between the radiomics features extracted from any pair of regions for each subject (AAL atlas). We further assessed the small-world property of R2SNs, and we evaluated the reproducibility in different datasets and through test-retest analysis. The relationships between the R2SNs and general intelligence/interregional coexpression of genes were also explored. R2SNs could be replicated in different datasets, regardless of the use of different feature subsets. R2SNs showed high reproducibility in the test-retest analysis (intraclass correlation coefficient > 0.7). In addition, the small-word property (σ > 2) and the high correlation between gene expression (
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