ArticleNeuroImage2018
Fluctuations between high- and low-modularity topology in time-resolved functional connectivity.
Article in NeuroImage, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.
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Who cites it
29 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Domain-Specific and Domain-General Functional Brain Alterations in Type 2 Diabetes Mellitus: A Task-Based and Functional Connectivity Meta-Analysis.Brain and behavior · 2025Pooled it
- Love is analogous to money in human brain: Coordinate-based and functional connectivity meta-analyses of social and monetary reward anticipation.Neuroscience and biobehavioral reviews · 2019Pooled it
- Impaired brain ability of older adults to transit and persist to latent states with well-organized structures at wakeful rest.GeroScience · 2025Article
- Topological Biomarkers of Alzheimer's Disease from Functional Brain Network Analysis.Current Alzheimer research · 2025Article
- The dynamics of dynamic time warping in fMRI data: A method to capture inter-network stretching and shrinking via warp elasticity.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Predicting executive functioning from functional brain connectivity: network specificity and age effects.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Chronic Mild Traumatic Brain Injury: Aberrant Static and Dynamic Connectomic Features Identified Through Machine Learning Model Fusion.Neuroinformatics · 2023Article
- A mixed-modeling framework for whole-brain dynamic network analysis.Network neuroscience (Cambridge, Mass.) · 2022Article
- Social cognitive network neuroscience.Social cognitive and affective neuroscience · 2022Review
- Changes in Brain Functional and Effective Connectivity After Treatment for Breast Cancer and Implications for Intervention Targets.Brain connectivity · 2022Article
- Edges in brain networks: Contributions to models of structure and function.Network neuroscience (Cambridge, Mass.) · 2022Review
- Brain network dynamics codify heterogeneity in seizure evolution.Brain communications · 2022Article
- Mixed Modeling Frameworks for Analyzing Whole-Brain Network Data.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Modular origins of high-amplitude cofluctuations in fine-scale functional connectivity dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Distinct network topology in Alzheimer's disease and behavioral variant frontotemporal dementia.Alzheimer's research & therapy · 2021Article
- Dynamic expression of brain functional systems disclosed by fine-scale analysis of edge time series.Network neuroscience (Cambridge, Mass.) · 2021Article
- Structural determinants of dynamic fluctuations between segregation and integration on the human connectome.Communications biology · 2020Article
- Article
- Temporal stability of functional brain modules associated with human intelligence.Human brain mapping · 2020Article
- Neural primacy of the dorsolateral prefrontal cortex in patients with obsessive-compulsive disorder.NeuroImage. Clinical · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Modularity is an important topological attribute for functional brain networks. Recent human fMRI studies have reported that modularity of functional networks varies not only across individuals being related to demographics and cognitive performance, but also within individuals co-occurring with fluctuations in network properties of functional connectivity, estimated over short time intervals. However, characteristics of these time-resolved functional networks during periods of high and low modularity have remained largely unexplored. In this study we investigate basic spatiotemporal properties of time-resolved networks in the high and low modularity periods during rest, with a particular focus on their spatial connectivity patterns, temporal homogeneity and test-retest reliability. We show that spatial connectivity patterns of time-resolved networks in the high and low modularity periods are represented by increased and decreased dissociation of the default mode network module from task-positive network modules, respectively. We also find that the instances of time-resolved functional connectivity sampled from within the high (respectively, low) modularity period are relatively homogeneous (respectively, heterogeneous) over time, indicating that during the low modularity period the default mode network interacts with other networks in a variable manner. We confirmed that the occurrence of the high and low modularity periods varies across individuals with moderate inter-session test-retest reliability and that it is correlated with previously-reported individual differences in the modularity of functional connectivity estimated over longer timescales. Our findings illustrate how time-resolved functional networks are spatiotemporally organized during periods of high and low modularity, allowing one to trace individual differences in long-timescale modularity to the variable occurrence of network configurations at shorter timescales.
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