ArticleDiagnostics (Basel, Switzerland)2021
Effect of Multishell Diffusion MRI Acquisition Strategy and Parcellation Scale on Rich-Club Organization of Human Brain Structural Networks.
Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Rich-club organization and functional brain network metrics during facial emotional processing: a task-based fMRI study.Behavioral and brain functions : BBF · 2026Article
- A pilot study on protocol consistency and graph metric reproducibility in microstructure-weighted connectomes.Scientific reports · 2026Article
- Enhanced structural brain connectivity analyses using high diffusion-weighting strengths.Brain structure & function · 2025Article
- Age-related differences in structural and resting-state functional brain network organization across the adult lifespan: A cross-sectional study.Aging brain · 2024Article
- Disrupted Functional Rich-Club Organization of the Brain Networks in Children with Attention-Deficit/Hyperactivity Disorder, a Resting-State EEG Study.Brain sciences · 2021Article
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Authors and funding
6 authors.
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Abstract
The majority of network studies of human brain structural connectivity are based on single-shell diffusion-weighted imaging (DWI) data. Recent advances in imaging hardware and software capabilities have made it possible to acquire multishell (b-values) high-quality data required for better characterization of white-matter crossing-fiber microstructures. The purpose of this study was to investigate the extent to which brain structural organization and network topology are affected by the choice of diffusion magnetic resonance imaging (MRI) acquisition strategy and parcellation scale. We performed graph-theoretical network analysis using DWI data from 35 Human Connectome Project subjects. Our study compared four single-shell (b = 1000, 3000, 5000, 10,000 s/mm
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