ArticleBrain sciences2021
Identifying Diurnal Variability of Brain Connectivity Patterns Using Graph Theory.
Article in Brain sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Oscillatory network efficiency predicts mood and fatigue during sleep deprivation.Communications biology · 2026Article
- Article
- Inflammation-associated brain functional network topological disruption in female nurses with SWSD: associations with symptoms and transcriptomics.Frontiers in immunology · 2026Article
- Altered functional network topology and connectivity in female nurses with shift work sleep disorder.Frontiers in systems neuroscience · 2025Article
- Circadian Rhythms Tied to Changes in Brain Morphology in a Densely Sampled Male.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Circadian rhythms tied to changes in brain morphology in a densely-sampled male.bioRxiv : the preprint server for biology · 2024Article
- Time-of-day influences resting-state functional cortical connectivity.Frontiers in neuroscience · 2023Article
- Classification of human chronotype based on fMRI network-based statistics.Frontiers in neuroscience · 2023Article
- Impact of biological rhythms on the importance hierarchy of constituents in time-dependent functional brain networks.Frontiers in network physiology · 2023Article
- Article
- Non-linear Functional Brain Co-activations in Short-Term Memory Distortion Tasks.Frontiers in neuroscience · 2021Article
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Significant differences exist in human brain functions affected by time of day and by people's diurnal preferences (chronotypes) that are rarely considered in brain studies. In the current study, using network neuroscience and resting-state functional MRI (rs-fMRI) data, we examined the effect of both time of day and the individual's chronotype on whole-brain network organization. In this regard, 62 participants (39 women; mean age: 23.97 ± 3.26 years; half morning- versus half evening-type) were scanned about 1 and 10 h after wake-up time for morning and evening sessions, respectively. We found evidence for a time-of-day effect on connectivity profiles but not for the effect of chronotype. Compared with the morning session, we found relatively higher small-worldness (an index that represents more efficient network organization) in the evening session, which suggests the dominance of sleep inertia over the circadian and homeostatic processes in the first hours after waking. Furthermore, local graph measures were changed, predominantly across the left hemisphere, in areas such as the precentral gyrus, putamen, inferior frontal gyrus (orbital part), inferior temporal gyrus, as well as the bilateral cerebellum. These findings show the variability of the functional neural network architecture during the day and improve our understanding of the role of time of day in resting-state functional networks.
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