ArticleNetwork neuroscience (Cambridge, Mass.)2021
Differential contributions of static and time-varying functional connectivity to human behavior.
Article in Network neuroscience (Cambridge, Mass.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Shared spatial and temporal principles govern connectome dynamics across timescales.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Forecasting Perception Before It Happens: Context-Specific Connectivity Patterns Predict Perceptual Outcomes.bioRxiv : the preprint server for biology · 2026Article
- Intrinsic network static and dynamic functional connectivity associated with induced affect.Social cognitive and affective neuroscience · 2026Article
- Loneliness exacerbates age differences in the -allostatic-interoceptive system during induced affect.Social cognitive and affective neuroscience · 2026Article
- Functional connectivity and graph theory of impaired central visual pathways in acute ischemic stroke based on functional magnetic resonance imaging.Quantitative imaging in medicine and surgery · 2025Article
- Reconfiguration of Functional Brain Network Organization and Dynamics With Changing Cognitive Demands in Children With Attention-Deficit/Hyperactivity Disorder.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Article
- Article
- Modulatory Neurotransmitter Genotypes Shape Dynamic Functional Connectome Reconfigurations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Temporal variability of brain-behavior relationships in fine-scale dynamics of edge time series.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Time-resolved instantaneous functional loci estimation (TRIFLE): Estimating time-varying allocation of spatially overlapping sources in functional magnetic resonance imaging.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Tangent space functional reconfigurations in individuals at risk for alcohol use disorder.Network neuroscience (Cambridge, Mass.) · 2025Article
- Reconfiguration of brain network dynamics in bipolar disorder: a hidden Markov model approach.Translational psychiatry · 2024Article
- Cognitive abilities are associated with rapid dynamics of electrophysiological connectome states.bioRxiv : the preprint server for biology · 2024Article
- Rapid dynamics of electrophysiological connectome states are heritable.bioRxiv : the preprint server for biology · 2024Article
- Cognitive abilities are associated with rapid dynamics of electrophysiological connectome states.Network neuroscience (Cambridge, Mass.) · 2024Article
- Rapid dynamics of electrophysiological connectome states are heritable.Network neuroscience (Cambridge, Mass.) · 2024Article
- Individual differences in time-varying and stationary brain connectivity during movie watching from childhood to early adulthood: Age, sex, and behavioral associations.Developmental cognitive neuroscience · 2023Article
- Individual differences in time-varying and stationary brain connectivity during movie watching from childhood to early adulthood: age, sex, and behavioral associations.bioRxiv : the preprint server for biology · 2023Article
- Static and dynamic functional connectomes represent largely similar information.bioRxiv : the preprint server for biology · 2023Article
- Predictive Coding and Internal Error Correction in Speech Production.Neurobiology of language (Cambridge, Mass.) · 2023Article
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5 authors.
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Abstract
Measures of human brain functional connectivity acquired during the resting-state track critical aspects of behavior. Recently, fluctuations in resting-state functional connectivity patterns-typically averaged across in traditional analyses-have been considered for their potential neuroscientific relevance. There exists a lack of research on the differences between traditional "static" measures of functional connectivity and newly considered "time-varying" measures as they relate to human behavior. Using functional magnetic resonance imagining (fMRI) data collected at rest, and a battery of behavioral measures collected outside the scanner, we determined the degree to which each modality captures aspects of personality and cognitive ability. Measures of time-varying functional connectivity were derived by fitting a hidden Markov model. To determine behavioral relationships, static and time-varying connectivity measures were submitted separately to canonical correlation analysis. A single relationship between static functional connectivity and behavior existed, defined by measures of personality and stable behavioral features. However, two relationships were found when using time-varying measures. The first relationship was similar to the static case. The second relationship was unique, defined by measures reflecting trialwise behavioral variability. Our findings suggest that time-varying measures of functional connectivity are capable of capturing unique aspects of behavior to which static measures are insensitive.
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