ArticleJournal of magnetic resonance imaging : JMRI2019
Cerebral circulation time derived from fMRI signals in large blood vessels.
Article in Journal of magnetic resonance imaging : JMRI, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 30 citations in OpenAlex.
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- 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
- Amplitude fluctuations of cerebrovascular oscillations and CSF movement desynchronize during NREM3 sleep.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2025Article
- Coupling of Low Frequency Hemodynamic Oscillations Between the Brain and Spinal Cord.Human brain mapping · 2025Article
- The functional overlap between respiration and global signal and its behavioral relevance.Communications biology · 2025Article
- An fMRI approach to assess intracranial arterial-to-venous cardiac pulse delay in aging.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Novel identifications of cerebral hemodynamics using BOLD fMRI in patients with sickle cell disease.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Robust data-driven segmentation of pulsatile cerebral vessels using functional magnetic resonance imaging.Interface focus · 2024Article
- Using respiratory challenges to modulate CSF movement across different physiological pathways: An fMRI study.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Neurofluid coupling during sleep and wake states.Sleep medicine · 2023Article
- Reproducibility of cerebral perfusion measurements using BOLD delay.Human brain mapping · 2023Article
- Beyond noise to function: reframing the global brain activity and its dynamic topography.Communications biology · 2022Review
- Article
- Coupling between cerebrovascular oscillations and CSF flow fluctuations during wakefulness: An fMRI study.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022Article
- Spatial complexity method for tracking brain development and degeneration using functional near-infrared spectroscopy.Biomedical optics express · 2022Article
- Human CSF movement influenced by vascular low frequency oscillations and respiration.Frontiers in physiology · 2022Article
- A novel method of quantifying hemodynamic delays to improve hemodynamic response, and CVR estimates in CO2 challenge fMRI.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021Article
- Using carpet plots to analyze transit times of low frequency oscillations in resting state fMRI.Scientific reports · 2021Article
- Origin of the Time Lag Phenomenon and the Global Signal in Resting-State fMRI.Frontiers in neuroscience · 2020Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundThe systemic low-frequency oscillation (sLFO) functional (f)MRI signals extracted from the internal carotid artery (ICA) and the superior sagittal sinus (SSS) are found to have valuable physiological information. PURPOSE: 1) To further develop and validate a method utilizing these signals to measure the delay times from the ICAs and the SSS. 2) To establish the delay time as an effective perfusion biomarker that associates with cerebral circulation time (CCT). 3) To explore within subject variations, and the effects of gender and age on the delay times. STUDY TYPE: Prospective. SUBJECTS: In all, 100 healthy adults (Human Connectome Project [HCP], age range 22-36 years, 54 females and 46 males), 56 healthy children (Adolescent Brain Cognitive Development project) were included. FIELD STRENGTH/SEQUENCE: Echo planar imaging (EPI) sequence at 3T. ASSESSMENT: The sLFO fMRI signals from the ICAs and the SSSs were extracted from the resting state fMRI data. The maximum cross-correlation coefficients and their corresponding delay times were calculated. The gender and age differences of delay times were assessed statistically. STATISTICAL TESTS: T-tests were conducted to measure the gender differences. The Kruskal-Wallis test was used to detect age differences.
resultsConsistent and robust results were found from 80% of the 400 HCP scans included. Negative correlations (-0.67) between the ICA and the SSS signals were found with the ICA signal leading the SSS signal by ∼5 sec. Within subject variation was 2.23 sec at the 5% significance level. The delay times were not significantly different between genders (P = 0.9846, P = 0.2288 for the left and right ICA, respectively). Significantly shorter delay times (4.3 sec) were found in the children than in the adults (P < 0.01). DATA
conclusionWe have shown that meaningful perfusion information (ie, CCT) can be derived from the sLFO fMRI signals of the large blood vessels. LEVEL OF EVIDENCE: 1 Technical Efficacy Stage: 1 J. Magn. Reson. Imaging 2019;50:1504-1513.
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