ReviewThe Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry2017
Small-World Brain Networks Revisited.
Review in The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 402 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
402 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Functional and effective EEG connectivity patterns in Alzheimer's disease and mild cognitive impairment: a systematic review.Frontiers in aging neuroscience · 2025Pooled it
- (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
- Music Therapy Modulates Abnormal Brain Networks and Alleviates Anxiety Symptoms in University Students: An fNIRS Study.Depression and anxiety · 2025Trial
- Alterations of White Matter Connectivity in Adults with Essential Hypertension.International journal of general medicine · 2024Trial
- Hemispheric imbalance in mild cognitive impairment: a graph-theoretical analysis of multimodal brain networks.Annals of medicine · 2026Article
- Acute effects of high-intensity interval training on inhibitory control and prefrontal network topology in problematic social media users: An fNIRS study.Journal of exercise science and fitness · 2026Article
- Age-related degradation of cerebellar functional network topology.GeroScience · 2026Article
- Altered Individualized Structural Covariance Networks Underlie Depressive and Anxiety Symptoms in Chronic Insomnia Disorder: A Dynamic Time Warping Graph Theory Study.Brain and behavior · 2026Article
- Functional network reorganization after magnetic resonance-guided focused ultrasound thalamotomy in tremor-dominant Parkinson's disease patients.NeuroImage. Clinical · 2026Article
- Decreased variability of small-world propensity during non-response tasks in schizophrenia.Neuroimage. Reports · 2026Article
- Altered structural and functional brain networks in children with primary nocturnal enuresis: a DTI and resting-state fMRI study.European child & adolescent psychiatry · 2026Article
- [Classification of systemic lupus erythematosus resting-state functional magnetic resonance imaging data based on the end-to-end model].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026Article
- Brain network alterations in autoimmune diseases: Current status and future prospects.iScience · 2026Review
- Spectral organization of individualized connectome harmonics across brain structure, function and cognition.bioRxiv : the preprint server for biology · 2026Article
- Maternal experience alters brain-wide representation of infant cries.bioRxiv : the preprint server for biology · 2026Article
- Parkinson's disease: Individual placebo responses are predicted by baseline expression of a striato-limbic network.Research square · 2026Article
- Network based statistics associates increased connectivity to REM sleep disorder and hallucinations in early DLB.NPJ Parkinson's disease · 2026Article
- Childhood absence epilepsy and distinct dynamic functional network connectivity patterns in self-limited epilepsy with centrotemporal spikes: a resting-state fMRI study.Pediatric research · 2026Article
- Signed motif analysis of the Caenorhabditis elegans neuronal network reveals positive feedforward and negative feedback loops.BMC biology · 2026Article
- The microstructure-weighted human connectome: network properties and structure-function correlations across spatial scales.bioRxiv : the preprint server for biology · 2026Article
342 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
It is nearly 20 years since the concept of a small-world network was first quantitatively defined, by a combination of high clustering and short path length; and about 10 years since this metric of complex network topology began to be widely applied to analysis of neuroimaging and other neuroscience data as part of the rapid growth of the new field of connectomics. Here, we review briefly the foundational concepts of graph theoretical estimation and generation of small-world networks. We take stock of some of the key developments in the field in the past decade and we consider in some detail the implications of recent studies using high-resolution tract-tracing methods to map the anatomical networks of the macaque and the mouse. In doing so, we draw attention to the important methodological distinction between topological analysis of binary or unweighted graphs, which have provided a popular but simple approach to brain network analysis in the past, and the topology of weighted graphs, which retain more biologically relevant information and are more appropriate to the increasingly sophisticated data on brain connectivity emerging from contemporary tract-tracing and other imaging studies. We conclude by highlighting some possible future trends in the further development of weighted small-worldness as part of a deeper and broader understanding of the topology and the functional value of the strong and weak links between areas of mammalian cortex.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.