ArticleBrain structure & function2020
Resting-state network topology and planning ability in healthy adults.
Article in Brain structure & function, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Eight-week multi-domain cognitive training does not impact large-scale resting-state brain networks in Parkinson's disease.NeuroImage. Clinical · 2022Trial
- Resting-state EEG connectome topology and social norm processing in healthy young adults.Brain structure & function · 2026Article
- Effects of 4-Month Methylphenidate Treatment on Functional Connectivity in Attention-Deficit Hyperactivity Disorder.medRxiv : the preprint server for health sciences · 2025Article
- Damage Resistance of an fMRI-Spiking Neural Network Based on Speech Recognition Against Stochastic Attack.Biomimetics (Basel, Switzerland) · 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
- Association of Normative and Non-Normative Brain Networks With Cognitive Function in Patients With Temporal Lobe Epilepsy.Neurology · 2024Article
- Multimodal and hemispheric graph-theoretical brain network predictors of learning efficacy for frontal alpha asymmetry neurofeedback.Cognitive neurodynamics · 2024Article
- Heterogeneity Analysis on Multi-state Brain Functional Connectivity and Adolescent Neurocognition.Journal of the American Statistical Association · 2024Article
- Aberrant Resting-State Cerebellar-Cerebral Functional Connectivity in Unmedicated Patients With Obsessive-Compulsive Disorder.Frontiers in psychiatry · 2021Article
- Planning deficits in Huntington's disease: A brain structural correlation by voxel-based morphometry.PloS one · 2021Article
- Exploring relationships between abnormal within-network functional connectivity, preoperative brain tumor variables, and neuropsychological test scores.Neuro-oncology advancesArticle
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Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Functional magnetic resonance imaging (fMRI) studies have been used extensively to investigate the brain areas that are recruited during the Tower of London (ToL) task. Nevertheless, little research has been devoted to study the neural correlates of the ToL task using a network approach. Here we investigated the association between functional connectivity and network topology during resting-state fMRI and ToL task performance, that was performed outside the scanner. Sixty-two (62) healthy subjects (21-74 years) underwent eyes-closed rsfMRI and performed the task on a laptop. We studied global (whole-brain) and within subnetwork resting-state topology as well as functional connectivity between subnetworks, with a focus on the default-mode, fronto-parietal and dorsal and ventral attention networks. Efficiency and clustering coefficient were calculated to measure network integration and segregation, respectively, at both the global and subnetwork level. Our main finding was that higher global efficiency was associated with slower performance (β = 0.22, P
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