ArticleHuman brain mapping2020
Temporal stability of functional brain modules associated with human intelligence.
Article in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed.
- Decoding the human brain during intelligence testing.Communications biology · 2025Article
- Structural-functional brain network coupling during cognitive demand reveals intelligence-relevant communication strategies.Communications biology · 2025Article
- Regional, but not brain-wide, graph theoretic measures are robustly and reproducibly linked to general cognitive ability.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Physical mechanisms of human brain functions.Quantitative biology (Beijing, China) · 2025Review
- Sequential patterning of dynamic brain states distinguish Parkinson's disease patients with mild cognitive impairments.NeuroImage. Clinical · 2025Article
- Dynamic fluctuations of intrinsic brain activity are associated with consistent topological patterns in puberty and are biomarkers of neural maturation.Network neuroscience (Cambridge, Mass.) · 2025Article
- Choosing explanation over performance: Insights from machine learning-based prediction of human intelligence from brain connectivity.PNAS nexus · 2024Article
- Task-specific topology of brain networks supporting working memory and inhibition.Human brain mapping · 2024Article
- Dynamic adaptation to novelty in the brain is related to arousal and intelligence.bioRxiv : the preprint server for biology · 2024Article
- The Profile of Network Spontaneous Activity and Functional Organization Interplay in Hierarchically Connected Modular Neural Networks In Vitro.Micromachines · 2024Article
- The dynamics of functional brain network segregation in feedback-driven learning.Communications biology · 2024Article
- Investigating robust associations between functional connectivity based on graph theory and general intelligence.Scientific reports · 2024Article
- Higher general intelligence is associated with stable, efficient, and typical dynamic functional brain connectivity patterns.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Image response regression via deep neural networks.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2023Article
- Multivariate multiscale entropy (mMSE) as a tool for understanding the resting-state EEG signal dynamics: the spatial distribution and sex/gender-related differences.Behavioral and brain functions : BBF · 2023Article
- Brain working memory network indices as landmarks of intelligence.Neuroimage. Reports · 2023Article
- Local and global reward learning in the lateral frontal cortex show differential development during human adolescence.PLoS biology · 2023Article
- Temporal Stability of the Dynamic Resting-State Functional Brain Network: Current Measures, Clinical Research Progress, and Future Perspectives.Brain sciences · 2023Article
- Stability of sensorimotor network sculpts the dynamic repertoire of resting state over lifespan.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
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4 authors.
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Abstract
Individual differences in general cognitive ability (i.e., intelligence) have been linked to individual variations in the modular organization of functional brain networks. However, these analyses have been limited to static (time-averaged) connectivity, and have not yet addressed whether dynamic changes in the configuration of brain networks relate to general intelligence. Here, we used multiband functional MRI resting-state data (N = 281) and estimated subject-specific time-varying functional connectivity networks. Modularity optimization was applied to determine individual time-variant module partitions and to assess fluctuations in modularity across time. We show that higher intelligence, indexed by an established composite measure, the Wechsler Abbreviated Scale of Intelligence (WASI), is associated with higher temporal stability (lower temporal variability) of brain network modularity. Post-hoc analyses reveal that subjects with higher intelligence scores engage in fewer periods of extremely high modularity - which are characterized by greater disconnection of task-positive from task-negative networks. Further, we show that brain regions of the dorsal attention network contribute most to the observed effect. In sum, our study suggests that investigating the temporal dynamics of functional brain network topology contributes to our understanding of the neural bases of general cognitive abilities.
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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.