ArticleScientific reports2022
The temporal dedifferentiation of global brain signal fluctuations during human brain ageing.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of global signal topography in aging, neuropsychiatric disorders, and cognitive task performance.Brain imaging and behavior · 2026Pooled it
- Temporal and Spatial Scales of Human Resting-State Cortical Activity across the Lifespan.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Infra-slow scale-free dynamics modulate the connection of neural and behavioral variability during attention.Communications biology · 2025Article
- The lifelong nonlinear development of spatial variability of brain signals.Communications biology · 2025Article
- Systematic cross-sectional age-associations in global fMRI signal topography.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Comparing data-driven physiological denoising approaches for resting-state fMRI: implications for the study of aging.Frontiers in neuroscience · 2024Article
- Spatiotemporal dedifferentiation of the global brain signal topography along the adult lifespan.Human brain mapping · 2023Article
- Alterations of resting-state Gamma frequency characteristics in aging and Alzheimer's disease.Cognitive neurodynamics · 2023Article
- Frequency-dependent effective connections between local signals and the global brain signal during resting-state.Cognitive neurodynamics · 2023Article
- Natural frequencies of neural activities and cognitions may serve as precise targets of rhythmic interventions to the aging brain.Frontiers in aging neuroscience · 2022Article
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9 authors.
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Abstract
The variation of brain functions as healthy ageing has been discussed widely using resting-state brain imaging. Previous conclusions may be misinterpreted without considering the effects of global signal (GS) on local brain activities. Up to now, the variation of GS with ageing has not been estimated. To fill this gap, we defined the GS as the mean signal of all voxels in the gray matter and systematically investigated correlations between age and indices of GS fluctuations. What's more, these tests were replicated with data after hemodynamic response function (HRF) de-convolution and data without noise regression as well as head motion data to verify effects of non-neural information on age. The results indicated that GS fluctuations varied as ageing in three ways. First, GS fluctuations were reduced with age. Second, the GS power transferred from lower frequencies to higher frequencies with age. Third, the GS power was more evenly distributed across frequencies in ageing brain. These trends were partly influenced by HRF and physiological noise, indicating that the age effects of GS fluctuations are associated with a variety of physiological activities. These results may indicate the temporal dedifferentiation hypothesis of brain ageing from the global perspective.
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