ArticleHuman brain mapping2019
Altered structural and functional brain network overall organization predict human intertemporal decision-making.
Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
16 citing papers in PubMed.
- The Reorganization of Cerebellar Functional Network Topology in Post-stroke Aphasia: A Resting-State fMRI Study.Molecular neurobiology · 2026Article
- Neurobiological mechanisms of electroconvulsive therapy in major depressive disorder: structure-function coupling with gene expression and molecular mechanism.Translational psychiatry · 2026Article
- Practical judgment in aging: examining behavioral vulnerabilities and neurobiological correlates.Frontiers in psychology · 2026Article
- Disruption of functional and structural topological organization in specific subnetwork among patients with classical trigeminal neuralgia: a graph theory-based magnetic resonance imaging study.Brain imaging and behavior · 2025Article
- Multimodal and hemispheric graph-theoretical brain network predictors of learning efficacy for frontal alpha asymmetry neurofeedback.Cognitive neurodynamics · 2024Article
- White matter-based brain network topological properties associated with individual impulsivity.Scientific reports · 2023Article
- Different topological patterns in structural covariance networks between high and low delay discounters.Frontiers in psychology · 2023Article
- Reconfigured metabolism brain network in asymptomatic microtubule-associated protein tau mutation carriers: a graph theoretical analysis.Alzheimer's research & therapy · 2022Article
- The altered functional modular organization in systemic lupus erythematosus: an independent component analysis study.Brain imaging and behavior · 2022Article
- Comorbid depressive symptoms can aggravate the functional changes of the pain matrix in patients with chronic back pain: A resting-state fMRI study.Frontiers in aging neuroscience · 2022Article
- Neural representations of the amount and the delay time of reward in intertemporal decision making.Human brain mapping · 2021Article
- Intrinsic non-hub connectivity predicts human inter-temporal decision-making.Brain imaging and behavior · 2021Article
- The structure dilemma in biological and artificial neural networks.Scientific reports · 2021Article
- Disrupted Brain Connectivity Networks in Aphasia Revealed by Resting-State fMRI.Frontiers in aging neuroscience · 2021Article
- Changes of Altruistic Behavior and Kynurenine Pathway in Late-Life Depression.Frontiers in psychiatry · 2020Article
- Altered structural and functional brain network overall organization predict human intertemporal decision-making.Human brain mapping · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Intertemporal decision-making is naturally ubiquitous to us: individuals always make a decision with different consequences occurring at different moments. These choices are invariably involved in life-changing outcomes regarding marriage, education, fertility, long-term well-being, and even public policy. Previous studies have clearly uncovered the neurobiological mechanism of the intertemporal decision in the schemes of regional location or sub-network. However, it still remains unclear how to characterize intertemporal behavior with multimodal whole-brain network metrics to date. Here, we combined diffusion tensor image and resting-state functional connectivity MRI technology, in conjunction with graph-theoretical analysis, to explore the link between topological properties of integrated structural and functional whole-brain networks and intertemporal decision-making. Graph-theoretical analysis illustrated that the participants with steep discounting rates exhibited the decreased global topological organizations including small-world and rich-club regimes in both functional and structural connectivity networks, and reflected the dreadful local topological dynamics in the modularity of functional connectome. Furthermore, in the cross-modalities configuration, the same relationship was predominantly observed for the coupling of structural-functional connectivity as well. Above topological metrics are commonly indicative of the communication pattern of simultaneous global and local parallel information processing, and it thus reshapes our accounts on intertemporal decision-making from functional regional/sub-network scheme to multimodal brain overall organization.
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