ArticleScientific reports2018
Stability of graph theoretical measures in structural brain networks in Alzheimer's disease.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 57 citations in OpenAlex.
- (Dis-)Connected Dots in Dementia with Lewy Bodies-A Systematic Review of Connectivity Studies.Movement disorders : official journal of the Movement Disorder Society · 2023Pooled it
- The hippocampal sparing subtype of Alzheimer's disease assessed in neuropathology and in vivo tau positron emission tomography: a systematic review.Acta neuropathologica communications · 2022Pooled it
- Alterations in topological and dynamical parameters correlate with disease biomarkers and neuropsychological scores in prodromic stages of dementia.Scientific reports · 2026Article
- The cognitive connectome in dementia with lewy bodies undergoes early alterations already at the mild cognitive impairment stage.Scientific reports · 2025Article
- Article
- Network Topography Alterations in Alzheimer's Disease: Insights From Motif Changes via Multisite Datasets (N = 3262).CNS neuroscience & therapeutics · 2025Article
- Influence of individual's age on the characteristics of brain effective connectivity.GeroScience · 2025Article
- Association of neighborhood disadvantage with cognitive function and cortical disorganization in an unimpaired cohort: An exploratory study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Patients with dementia with Lewy bodies display a signature alteration of their cognitive connectome.Scientific reports · 2025Article
- Graph Theoretical Measures for Alzheimer's, MCI, and Normal Controls: A Comparative Study Using MRI Data.Annals of neurosciences · 2025Article
- Structural network disruption of corticothalamic pathways in cerebral small vessel disease.Brain imaging and behavior · 2024Article
- Article
- Review of the Brain's Behaviour after Injury and Disease for Its Application in an Agent-Based Model (ABM).Biomimetics (Basel, Switzerland) · 2024Review
- Grey matter networks in women and men with dementia with Lewy bodies.NPJ Parkinson's disease · 2024Article
- An Agent-Based Model to Reproduce the Boolean Logic Behaviour of Neuronal Self-Organised Communities through Pulse Delay Modulation and Generation of Logic Gates.Biomimetics (Basel, Switzerland) · 2024Article
- Exploring Alzheimer's disease: a comprehensive brain connectome-based survey.Psychoradiology · 2024Review
- Physical fitness, cognition, and structural network efficiency of brain connections across the lifespan.Neuropsychologia · 2023Article
- Review
- BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks.IEEE transactions on medical imaging · 2023Article
- Consistency of Graph Theoretical Measurements of Alzheimer's Disease Fiber Density Connectomes Across Multiple Parcellation Scales.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2022Article
Corrections and comments
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Authors and funding
11 authors at 9 institutions in 7 countries.
Funding
Abstract
Graph analysis has become a popular approach to study structural brain networks in neurodegenerative disorders such as Alzheimer's disease (AD). However, reported results across similar studies are often not consistent. In this paper we investigated the stability of the graph analysis measures clustering, path length, global efficiency and transitivity in a cohort of AD (N = 293) and control subjects (N = 293). More specifically, we studied the effect that group size and composition, choice of neuroanatomical atlas, and choice of cortical measure (thickness or volume) have on binary and weighted network properties and relate them to the magnitude of the differences between groups of AD and control subjects. Our results showed that specific group composition heavily influenced the network properties, particularly for groups with less than 150 subjects. Weighted measures generally required fewer subjects to stabilize and all assessed measures showed robust significant differences, consistent across atlases and cortical measures. However, all these measures were driven by the average correlation strength, which implies a limitation of capturing more complex features in weighted networks. In binary graphs, significant differences were only found in the global efficiency and transitivity measures when using cortical thickness measures to define edges. The findings were consistent across the two atlases, but no differences were found when using cortical volumes. Our findings merits future investigations of weighted brain networks and suggest that cortical thickness measures should be preferred in future AD studies if using binary networks. Further, studying cortical networks in small cohorts should be complemented by analyzing smaller, subsampled groups to reduce the risk that findings are spurious.
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Registered trials
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