A Quantitative Physiologic Model of Blood Oxygenation for Functional Magnetic Resonance Imaging

Hathout, Gasser M.; Gambhir, Sanjiv S.; Gopi, Ramesh K.; Kirlew, K. A. T.; Choi, Yong; So, Gohei; Gozal, David; Harper, Ronald M.; Lufkin, R B; Hawkins, Randall A.

doi:10.1097/00004424-199511000-00007

Cited by 37 publications

(25 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[3] and ͗h͘ is the expectation value of the HRF computed from Eq. [6]. The selectively averaged response, a sel , was computed as described in Ref.…”

Section: Simulationsmentioning

confidence: 99%

“…[6] and g(h) ϭ h. For the linearity test, a more subtle choice of functions was required. There were two reasons for this: the domain of the integral in Eq.…”

Section: Numerical Calculationsmentioning

confidence: 99%

“…This proved to not be a restraint even though, strictly speaking, the posterior distributions in Eqs. [6] and [10] are multimodal. Through extensive numerical testing it was found that in practice both of these distributions are almost Gaussian and have easily distinguishable dominant peaks.…”

Section: Numerical Calculationsmentioning

confidence: 99%

“…As such, the matrix R T (I Ϫ P B )R, which features in both rs i 2 and R i (h), is not of full rank (see Eq. [6]). To avoid this problem, it is assumed that the final L elements of h are zero, where L is the duration of the stimulus.…”

Section: Appendixmentioning

confidence: 99%

“…[5] to Eq. [6]. For a p-dimensional vector x i , p ϫ m matrix A, p ϫ q matrix B, m-dimensional vector i , and q-dimensional vector i , it can be shown that:…”

Section: Appendixmentioning

confidence: 99%

See 4 more Smart Citations

Bayesian technique for investigating linearity in event‐related BOLD fMRI

Kershaw

Kashikura²,

Zhang³

et al. 2001

Magnetic Resonance in Med

View full text Add to dashboard Cite

Event-related BOLD fMRI data is modeled as a linear timeinvariant system. Together with Bayesian inference techniques, a statistical test is developed for rigorously detecting linearity/ nonlinearity in the BOLD response system. The test is applied to data collected from eight subjects using an event-related paradigm with a switching checkerboard as the visual stimulus. Analyzed as a group, the results clearly find the response to be nonlinear. When each subject is analyzed individually, however, the results are predominantly nonlinear, but there is some evidence to suggest that there may be a crossover from a linear to a nonlinear regime and vice versa. This could be important when estimating physiological parameters for individuals.

show abstract

“…[3] and ͗h͘ is the expectation value of the HRF computed from Eq. [6]. The selectively averaged response, a sel , was computed as described in Ref.…”

Section: Simulationsmentioning

confidence: 99%

“…[6] and g(h) ϭ h. For the linearity test, a more subtle choice of functions was required. There were two reasons for this: the domain of the integral in Eq.…”

Section: Numerical Calculationsmentioning

confidence: 99%

Section: Numerical Calculationsmentioning

confidence: 99%

Section: Appendixmentioning

confidence: 99%

“…[5] to Eq. [6]. For a p-dimensional vector x i , p ϫ m matrix A, p ϫ q matrix B, m-dimensional vector i , and q-dimensional vector i , it can be shown that:…”

Section: Appendixmentioning

confidence: 99%

See 3 more Smart Citations

Bayesian technique for investigating linearity in event‐related BOLD fMRI

Kershaw

Kashikura²,

Zhang³

et al. 2001

Magnetic Resonance in Med

View full text Add to dashboard Cite

show abstract

Characterization of cerebral blood oxygenation and flow changes during prolonged brain activation

et al. 1997

View full text Add to dashboard Cite

The behavior of cerebral blood flow and oxygenation during prolonged brain activation was studied using magnetic resonance imaging (MRI) sensitized to flow and oxygenation changes, as well as positron emission tomography sensitized to flow. Neuronal habituation effects and hemodynamic changes were evaluated across tasks and cortical regions. Nine types of activation stimuli or tasks, including motor activation, vibrotactile stimulation, and several types of visual stimulation, were used. Both flow and oxygenation were evaluated in separate time course series as well as simultaneously using two different MRI methods. In most cases, the activation-induced increase in flow and oxygenation remained elevated for the entire stimulation duration. These results suggest that both flow rate and oxygenation consumption rate remain constant during the entire time that primary cortical neurons are activated by a task or a stimulus.

show abstract

Congenital central hypoventilation syndrome: An update

Gozal

1998

Pediatr. Pulmonol.

155

View full text Add to dashboard Cite

A Quantitative Physiologic Model of Blood Oxygenation for Functional Magnetic Resonance Imaging

Cited by 37 publications

References 0 publications

Bayesian technique for investigating linearity in event‐related BOLD fMRI

Bayesian technique for investigating linearity in event‐related BOLD fMRI

Characterization of cerebral blood oxygenation and flow changes during prolonged brain activation

Congenital central hypoventilation syndrome: An update

Contact Info

Product

Resources

About