ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2017
Perfusion information extracted from resting state functional magnetic resonance imaging.
Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.
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65 citing papers in PubMed.
- Leveraging Task FMRI Data to Extract Resting-State Metrics in Brain Tumor and Healthy Populations.Clinical neuroradiology · 2026Article
- Associations between cerebral blood transit time, amyloid-β pathology and cognitive decline in non-demented older adults.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- HyPER: Region-specific hypersampling of fMRI to resolve low-frequency, respiratory, and cardiac pulsations, revealing age-related differences.NeuroImage · 2025Article
- Review
- Improving delay and strength maps derived from resting-state fMRI using PCA-based denoising and group data from the HCP dataset.Computers in biology and medicine · 2025Article
- Novel identifications of cerebral hemodynamics using BOLD fMRI in patients with sickle cell disease.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Reshaped functional connectivity gradients in acute ischemic stroke.NeuroImage. Clinical · 2025Article
- Evaluating the dependence of ADC-fMRI on haemodynamics in breath-hold and resting-state conditions.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Robust data-driven segmentation of pulsatile cerebral vessels using functional magnetic resonance imaging.Interface focus · 2024Article
- Altered brain perfusion and oxygen levels relate to sleepiness and attention in post-COVID syndrome.Annals of clinical and translational neurology · 2024Article
- Functional connectivity-hemodynamic (un)coupling changes in chronic mild brain injury are associated with mental health and neurocognitive indices: a resting state fMRI study.Neuroradiology · 2024Article
- Functional MRI signals exhibit stronger covariation with peripheral autonomic measures as vigilance decreases.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Review
- Article
- Deep-learning-enabled brain hemodynamic mapping using resting-state fMRI.NPJ digital medicine · 2023Article
- Article
- Reproducibility of cerebral perfusion measurements using BOLD delay.Human brain mapping · 2023Article
- Article
- Low-frequency oscillations in the brain show differential regional associations with severity of cerebral small vessel disease: a systematic review.Frontiers in neuroscience · 2023Review
- Understanding recovery of language after stroke: insights from neurovascular MRI studies.Frontiers in language sciences · 2023Article
5 more citing papers are in PubMed but not listed here.
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6 authors.
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Abstract
It is widely known that blood oxygenation level dependent (BOLD) contrast in functional magnetic resonance imaging (fMRI) is an indirect measure for neuronal activations through neurovascular coupling. The BOLD signal is also influenced by many non-neuronal physiological fluctuations. In previous resting state (RS) fMRI studies, we have identified a moving systemic low frequency oscillation (sLFO) in BOLD signal and were able to track its passage through the brain. We hypothesized that this seemingly intrinsic signal moves with the blood, and therefore, its dynamic patterns represent cerebral blood flow. In this study, we tested this hypothesis by performing Dynamic Susceptibility Contrast (DSC) MRI scans (i.e. bolus tracking) following the RS scans on eight healthy subjects. The dynamic patterns of sLFO derived from RS data were compared with the bolus flow visually and quantitatively. We found that the flow of sLFO derived from RS fMRI does to a large extent represent the blood flow measured with DSC. The small differences, we hypothesize, are largely due to the difference between the methods in their sensitivity to different vessel types. We conclude that the flow of sLFO in RS visualized by our time delay method represents the blood flow in the capillaries and veins in the brain.
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