ArticleBrain and behavior2020
Reproducibility of graph measures at the subject level using resting-state fMRI.
Article in Brain and behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- The electrophysiological basis of resting-state fMRI hyperconnectivity in early Alzheimer's disease.Alzheimer's research & therapy · 2026Article
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- Increased functional network segregation in glioma patients posttherapy: A neurological compensatory response or catastrophe for cognition?Network neuroscience (Cambridge, Mass.) · 2025Article
- EEG-based graph network analysis in relation to regional tau in asymptomatic Alzheimer's disease.Brain communications · 2025Article
- Topological Perturbations in the Functional Connectome Support the Deficit/Non-deficit Distinction in Antipsychotic Medication-Naïve First Episode Psychosis Patients.Schizophrenia bulletin · 2024Article
- Behaviour-correlated profiles of cerebellar-cerebral functional connectivity observed in independent neurodevelopmental disorder cohorts.Translational psychiatry · 2024Article
- Modeling the neurocognitive dynamics of language across the lifespan.Human brain mapping · 2024Article
- Creativity at rest: Exploring functional network connectivity of creative experts.Network neuroscience (Cambridge, Mass.) · 2023Article
- Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2022Article
- Astrocyte calcium dysfunction causes early network hyperactivity in Alzheimer's disease.Cell reports · 2022Article
- Reproducibility and replicability in neuroimaging data analysis.Current opinion in neurology · 2022Review
- Ranking of communities in multiplex spatiotemporal models of brain dynamics.Applied network science · 2022Article
- Dysregulation in Sphingolipid Signaling Pathways is Associated With Symptoms and Functional Connectivity of Pain Processing Brain Regions in Provoked Vestibulodynia.The journal of pain · 2021Observational
- The Effect of Aging on Brain Glucose Metabolic Connectivity Revealed by [Frontiers in aging neuroscience · 2021Article
- Spatial Stability of Functional Networks: A Measure to Assess the Robustness of Graph-Theoretical Metrics to Spatial Errors Related to Brain Parcellation.Frontiers in neuroscience · 2021Article
- Reproducibility of graph measures at the subject level using resting-state fMRI.Brain and behavior · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
introductionGraph metrics have been proposed as potential biomarkers for diagnosis in clinical work. However, before it can be applied in a clinical setting, their reproducibility should be evaluated.
methodsThis study systematically investigated the effect of two denoising pipelines and different whole-brain network constructions on reproducibility of subject-specific graph measures. We used the multi-session fMRI dataset from the Brain Genomics Superstruct Project consisting of 69 healthy young adults.
resultsIn binary networks, the test-retest variability for global measures was large at low density irrespective of the denoising strategy or the type of correlation. Weighted networks showed very low test-retest values (and thus a good reproducibility) for global graph measures irrespective of the strategy used. Comparing the test-retest values for different strategies, there were significant main effects of the type of correlation (Pearson correlation vs. partial correlation), the (partial) correlation value (absolute vs. positive vs. negative), and weight calculation (based on the raw (partial) correlation values vs. based on transformed Z-values). There was also a significant interaction effect between type of correlation and weight calculation. Similarly as for the binary networks, there was no main effect of the denoising pipeline.
conclusionOur results demonstrated that normalized global graph measures based on a weighted network using the absolute (partial) correlation as weight were reproducible. The denoising pipeline and the granularity of the whole-brain parcellation used to define the nodes were not critical for the reproducibility of normalized graph measures.
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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.