ArticleFrontiers in human neuroscience2014
Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI.
Article in Frontiers in human neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.
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Who cites it
37 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The Relative Accuracy of Different Methods for Measuring Mind Wandering Subtypes: A Systematic Review.Brain and behavior · 2025Pooled it
- The older adult brain is less modular, more integrated, and less efficient at rest: A systematic review of large-scale resting-state functional brain networks in aging.Psychophysiology · 2023Pooled it
- Temporal segmentation of EEG based on functional connectivity network structure.Scientific reports · 2023Article
- Neuronal dynamics of the default mode network and anterior insular cortex: Intrinsic properties and modulation by salient stimuli.Science advances · 2023Article
- Eigenvector centrality dynamics are related to Alzheimer's disease pathological changes in non-demented individuals.Brain communications · 2023Article
- Tracking functional network connectivity dynamics in the elderly.Frontiers in neuroscience · 2023Article
- Chemogenetic stimulation of tonic locus coeruleus activity strengthens the default mode network.Science advances · 2022Article
- Improving Functional Connectome Fingerprinting with Degree-Normalization.Brain connectivity · 2022Article
- Altered dynamics of functional connectivity density associated with early and advanced stages of motor training in tennis and table tennis athletes.Brain imaging and behavior · 2021Article
- Mood disorders disrupt the functional dynamics, not spatial organization of brain resting state networks.NeuroImage. Clinical · 2021Article
- Leveraging multi-shell diffusion for studies of brain development in youth and young adulthood.Developmental cognitive neuroscience · 2020Article
- Resting brain dynamics at different timescales capture distinct aspects of human behavior.Nature communications · 2019Article
- Hub Patterns-Based Detection of Dynamic Functional Network Metastates in Resting State: A Test-Retest Analysis.Frontiers in neuroscience · 2019Article
- Voxelwise-based Brain Function Network using Multi-Graph Model.Scientific reports · 2018Article
- Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI.Cerebral cortex (New York, N.Y. : 1991) · 2018Article
- The Transitions Between Dynamic Micro-States Reveal Age-Related Functional Network Reorganization.Frontiers in physiology · 2018Article
- Differentiated Effects of Robot Hand Training With and Without Neural Guidance on Neuroplasticity Patterns in Chronic Stroke.Frontiers in neurology · 2018Article
- Replicability of time-varying connectivity patterns in large resting state fMRI samples.NeuroImage · 2017Article
- Associations between dynamic functional connectivity and age, metabolic risk, and cognitive performance.Neurobiology of aging · 2017Article
- Making group inferences using sparse representation of resting-state functional mRI data with application to sleep deprivation.Human brain mapping · 2017Article
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7 authors.
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Abstract
Network studies of large-scale brain connectivity have demonstrated that highly connected areas, or "hubs," are a key feature of human functional and structural brain organization. We use resting-state functional MRI data and connectivity clustering to identify multi-network hubs and show that while hubs can belong to multiple networks their degree of integration into these different networks varies dynamically over time. The extent of the network variation was related to the connectedness of the hub. In addition, we found that these network dynamics were inversely related to positive self-generated thoughts reported by individuals and were further decreased with older age. Moreover, the left caudate varied its degree of participation between a default mode subnetwork and a limbic network. This variation was predictive of individual differences in the reports of past-related thoughts. These results support an association between ongoing thought processes and network dynamics and offer a new approach to investigate the brain dynamics underlying mental experience.
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