ArticleEuropean child & adolescent psychiatry2023
Evaluation of individual-based morphological brain network alterations in children with attention-deficit/hyperactivity disorder: a multi-method investigation.
Article in European child & adolescent psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 16 citations in OpenAlex.
- The shared and disorder-specific resting-state functional connectivity networks associated with emotion regulation between attention deficit/hyperactivity disorder and bipolar disorder.Brain imaging and behavior · 2026Article
- Disruptions of morphological brain networks and their associations with multi-symptoms in children with spastic cerebral palsy.Quantitative imaging in medicine and surgery · 2025Article
- Disrupted small-world networks in children with drug-naïve growth hormone deficiency: a DTI-based network analysis.Quantitative imaging in medicine and surgery · 2025Article
- Altered individual-level morphological similarity network in children with growth hormone deficiency.Journal of neurodevelopmental disorders · 2024Article
- Disrupted individual-level morphological brain network in spinal muscular atrophy types 2 and 3.CNS neuroscience & therapeutics · 2024Article
- Association of individual-based morphological brain network alterations with cognitive impairment in type 2 diabetes mellitus.Frontiers in neurology · 2024Article
- Altered large-scale individual-based morphological brain network in spinocerebellar ataxia type 3.CNS neuroscience & therapeutics · 2023Article
- Individual-level brain morphological similarity networks: Current methodologies and applications.CNS neuroscience & therapeutics · 2023Review
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
To investigate the topological organization of individual-based morphological brain networks (MBNs) in attention-deficit/hyperactivity disorder (ADHD) children with different methods. A total of 60 ADHD children and 60 typically developing (TD) controls matched for age and gender were enrolled. Each participant underwent a structural 3D T1-weighted scan. Based on the inter-regional morphological similarity of GM regions, Kullback-Leibler-based similarity (KLS), Multivariate Euclidean Distance (MED), and Tijms's method were used to construct individual-based MBNs, respectively. The between-group difference of global and nodal network topological profiles was estimated, and partial correlation analysis was used for further analysis. According to KLS and MED-based network, ADHD showed a decreased global efficiency (E
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