ArticleFrontiers in neuroscience2020
Origin of the Time Lag Phenomenon and the Global Signal in Resting-State fMRI.
Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 27 citations in OpenAlex.
- Leveraging Task FMRI Data to Extract Resting-State Metrics in Brain Tumor and Healthy Populations.Clinical neuroradiology · 2026Article
- Three parsimonious spatiotemporal patterns in cerebellum reveal individual traits in function and behavior.Nature communications · 2026Article
- The temporal specificity of BOLD fMRI is systematically related to anatomical and vascular features of the human brain.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Tensor response quantile regression with neuroimaging data.Biometrics · 2023Article
- Spatial variation of changes in test-retest reliability of functional connectivity after global signal regression: The effect of considering hemodynamic delay.Human brain mapping · 2023Article
- Physiological and pathological neuronal connectivity in the living human brain based on intracranial EEG signals: the current state of research.Frontiers in network physiology · 2023Review
- Resting-state networks representation of the global phenomena.Frontiers in neuroscience · 2023Article
- Article
- Intrinsic functional brain connectivity is resilient to chronic hypoperfusion caused by unilateral carotid artery stenosis.NeuroImage. Clinical · 2022Article
- Cardiovascular Pulsatility Increases in Visual Cortex Before Blood Oxygen Level Dependent Response During Stimulus.Frontiers in neuroscience · 2022Article
- The Spatiotemporal Dynamics of Cerebral Autoregulation in Functional Magnetic Resonance Imaging.Frontiers in neuroscience · 2022Article
- Human CSF movement influenced by vascular low frequency oscillations and respiration.Frontiers in physiology · 2022Article
- Characterizing Hemodynamic Alterations in Glioma: Insights From Resting-State Functional MRI.Journal of neuroimaging : official journal of the American Society of NeuroimagingArticle
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The global mean signal of resting-state fMRI (rs-fMRI) shows a characteristic spatiotemporal pattern that is closely related to the pattern of vascular perfusion. Although being increasingly adopted in the mapping of the flow of neural activity, the mechanism that gives rise to the BOLD signal time lag remains controversial. In the present study, we compared the time lag of the global mean signal with those of the local network components obtained by applying temporal independent component analysis to the resting-state fMRI data, as well as by using simultaneous wide-field visual stimulation, and demonstrated that the time lag patterns are highly similar across all types of data. These results suggest that the time lag of the rs-fMRI signal reflects the local variance of the hemodynamic responses rather than the arrival or transit time of the stimulus, whether the trigger is neuronal or non-neuronal in origin as long as it is mediated by local hemodynamic responses. Examinations of the internal carotid artery signal further confirmed that the arterial signal is tightly inversely coupled with the global mean signal in accordance with previous studies, presumably reflecting the blood flow or blood pressure changes that are occurring almost simultaneously in the internal carotid artery and the cerebral pial/capillary arteries, within the low-frequency component in human rs-fMRI.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.