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Cited by 49Advanced MRI Techniques and ApplicationsAdvanced Neuroimaging Techniques and ApplicationsOptical Imaging and Spectroscopy Techniques

Understanding the dynamic relationship between cerebral blood flow and the BOLD signal: Implications for quantitative functional MRI

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Simon, Aaron B., Buxton, Richard B.·2015·NeuroImage
DOI 10.1016/j.neuroimage.2015.03.080PMC PMC4468003
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Abstract

Calibrated BOLD imaging, in which traditional measurements of the BOLD signal are combined with measurements of cerebral blood flow (CBF) within a BOLD biophysical model to estimate changes in oxygen metabolism (CMRO2), has been a valuable tool for untangling the physiological processes associated with neural stimulus-induced BOLD activation. However, to date this technique has largely been applied to the study of essentially steady-state physiological changes (baseline to activation) associated with block-design stimuli, and it is unclear whether this approach may be directly extended to the study of more dynamic, naturalistic experimental designs. In this study we tested an assumption underlying this technique whose validity is critical to the application of calibrated BOLD to the study of more dynamic stimuli, that information about fluctuations in venous cerebral blood volume (CBVv) can be captured indirectly by measuring fluctuations in CBF, making the independent measurement of CBVv unnecessary. To accomplish this, simultaneous arterial spin labeling and BOLD imaging were used to measure the CBF and BOLD responses to flickering checkerboards with contrasts that oscillated continuously with frequencies of ~0.02-0.16Hz. The measurements were then fit to a dynamic physiological model of the BOLD response in order to explore the range of consistent CMRO2 and CBVv responses. We found that the BOLD and CBF responses were most consistent with relatively tight dynamic coupling between CBF and CMRO2 and a CBVv response that was an order of magnitude slower than either CBF or CMRO2. This finding suggests that the assumption of tight flow-volume coupling may not be strictly valid, complicating the extension of calibrated BOLD to more naturalistic experimental designs.

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  • The model used previously reported physiological parameters with no additional parameter fitting.

    “The model first used previously reported physiological parameters (35) with no additional parameter fitting, to test whether our observations were consistent with established biophysical coupling between these signals.”

    From Coupled electrophysiological, hemodynamic, and cerebrospinal fluid oscillations in human sleep (2019) · cites this paper as [35]

    Methods §3.5 says several model parameters were fixed using values from previous reports, supporting the reference to previously reported parameters. It also says six response amplitudes and time constants were fitted to the measured data, so the source does not support the claim of no additional parameter fitting. (LLM, conf=0.90)

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Cited by

Sorted by citations

Authors
Simon, A. B., & Buxton, R. B.
Affiliations
University of California San Diego (US)
Corresponding author
Buxton, Richard B.
ORCID
Venue
NeuroImage
Publisher
Elsevier BV
Published
2015-08
Volume
116
Pages
158-167
ISSN
1053-8119 (ISSN-L)
DOI
10.1016/j.neuroimage.2015.03.080
PMC
PMC4468003
OpenAlex
W1997930078
Cited by
49
References
4
Citations by year
2026: 5 · 2025: 5 · 2024: 6 · 2023: 2 · 2022: 4 · 2021: 7 · 2020: 6 · 2019: 3 · 2018: 4 · 2017: 4 · 2016: 3
FWCI
2.49
Type
journal article
Language
en
Open access
Licence
Locations
  • NeuroImage (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
NIH (R01-NS036722, R21-NS085478, R21-NS081405)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Optical Imaging and Spectroscopy Techniques
Keywords
cerebral blood flow, BOLD signal, cerebral blood volume, arterial spin labeling, naturalistic stimuli, flicker stimuli, oxygen metabolism
MeSH terms
Adult, Brain Mapping, Cerebral Cortex, Cerebrovascular Circulation, Female, Humans, Magnetic Resonance Imaging, Male, Models, Neurological, Oxygen, Photic Stimulation, Visual Perception, Young Adult

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