Erin K Englund1, Maria A Fernandez-Seara2, Ana E Rodriguez-Soto1, Hyunyeol Lee1, John A Detre3, Zachary B Rodgers1, and Felix W Wehrli1
1Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Department of Radiology, University of Navarra, Pamplona, Spain, 3Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
Synopsis
The magnitude of neurometabolic responses to stimuli can be quantified
using calibrated fMRI. Here we compare existing calibration models to Yv-based
calibration. The Yv-based calibration model measures whole-brain venous oxygen saturation in
the superior sagittal sinus along with BOLD changes and ASL-measured CBF changes to derive maps of
the calibration constant, M, in response to a hyperoxia stimulus. M-maps were compared
between the proposed and existing calibration models. Then, relative CMRO2
changes in response to a finger tapping task were computed based on the derived M-maps. A ~19% increase in CMRO2
in the motor cortex was observed.
Background and Motivation
Calibrated fMRI permits quantification of changes in the cerebral
metabolic rate of oxygen (CMRO2) due to a
stimulus by first determining the relationship between cerebral blood flow
(CBF), oxygen metabolism, and BOLD signal changes1:
$$$\frac{\Delta BOLD}{BOLD_0}=M\left(1- \left(\frac{CBF}{CBF_0}\right)^\alpha\left(\frac{[dHb]_v}{[dHb]_{v_0}}\right)^\beta\right)$$$ [1]
where M is the sequence and subject-specific
calibration factor, representing the maximum BOLD signal change with full
washout of deoxyhemoglobin ([dHb]), subscripts (0) represent the baseline condition relative to
stimulus condition (no subscript), α (=0.18) relates CBF
to cerebral blood volume, and β (=1.5) reflects relative intra- and
extra-vascular BOLD signal contributions2,3.
To solve for M, a calibration experiment is performed
in which BOLD and CBF (quantified via arterial spin labeling, ASL) or [dHb] are
simultaneously measured during an isometabolic stimulus (typically hypercapnia
or hyperoxia gas breathing). Two accepted calibration strategies include the
Davis, et al. model, which uses hypercapnia as a stimulus1, and a hyperoxia-based
model proposed by Chiarelli, et al.4 Previously, we
proposed the use of Yv-based calibration5 in which MR data are used
to quantify venous oxygen saturation (Yv) in the superior
sagittal sinus (SSS)6,7. Figure 1
summarizes the models. With the Yv-based calibration
model, all parameters are determined from MR data (no external monitoring is
required), and the calibration constant M
is determined with fewer assumptions and reduced noise sensitivity compared to
existing models.
Here, an interleaved, ASL, BOLD, and multi-echo GRE sequence, termed “OxBOLD”, is used to:
-
Compare M-maps based on conventional and proposed (Yv-based)
calibration models.
-
Demonstrate the ability to quantify
changes in CMRO2 in response to a finger tapping paradigm.
Methods
In this IRB-approved study, data were acquired at 3T in ten subjects (30.0±4.6 years, 5 male) during
baseline (normocapnia/normoxia), hyperoxia, and hypercapnia conditions with OxBOLD, a 3-part interleaved sequence comprising background-suppressed 3D-RARE
stack-of-spirals pCASL8, 2D BOLD-weighted spiral, and dual-echo GRE acquisitions
(Figure 2). Sequence parameters include: ASL/BOLD FOV=240×240 mm2,
with FOVz (or pack extent)=80 mm, ASL labeling duration/PLD=1.8/1.5s,
BOLD TE=29ms; single-slice GRE data acquired near the straightest portion of
the SSS with ∆TE=3.52ms; overall TR=7s, thus one ASL tag-control pair is
obtained every 14s.
Data were collected for five
minutes during each condition including (1) baseline, (2) hyperoxia (partial pressure of end tidal oxygen, PETO2=+230mmHg from baseline), (3) finger tapping interleaved with rest (normocapnia/normoxia),
and (4) hypercapnia (PETCO2=+8mmHg from baseline) (Figure 3). Stimulus gases were
delivered and PETO2/PETCO2 values
were monitored via the RespirAct Gas Control System (Thornhill Research).
Finger tapping was performed bilaterally in a block design (70s on/off repeated
twice).
BOLD and ASL images for each series were registered to the initial time
point and smoothed (FWHM=6mm). Perfusion was quantified from the tag-control difference,
assuming blood T1=1660ms at baseline and hypercapnia9, and =1500ms during hyperoxia10. Yv was computed in the SSS via susceptometry-based
oximetry from the dual-echo GRE data.6 M-maps were quantified using the Davis
model1 (baseline and hypercapnia), Chiarelli model4 (baseline and hyperoxia, using PETO2 to
estimate [dHb]), and the proposed Yv-based model (baseline and
hyperoxia, using MR-measured Yv). Subsequently, task-based CMRO2 changes were quantified based on
M-maps derived from each model.
Results
Figure 4 shows
baseline and gas stimulus images for the quantified parameters, M-maps derived from each model and
quantified CMRO2
responses. M-maps demonstrate
plausible anatomic contrast. Average grey-matter M was 6.6±5.1% (Yv-based model), 9.3±3.8% (Davis
model), and 5.7±7.3% (Chiarelli model). The finger tapping task activated
regions in the motor cortex. Based on the M-maps
from each calibration model, CMRO2 in the motor cortex increased by
19±12% (Yv -based model), 13±12% (Davis model), and 19±19% (Chiarelli model). There
is a significant correlation between the Yv-based
model and either the Davis or Chiarelli model for CMRO2 changes
(Figure 5), however the correlation
between the Davis and Chiarelli-based CMRO2 changes
was not significant (r=0.362, p=0.3).Discussion & Conclusion
This work demonstrates the utility of OxBOLD combined with the Yv-based model for hyperoxia calibrated fMRI. Using the Yv-based model, average M-values
and maps were similar to those derived from accepted models, but the proposed model
directly measures whole-brain Yv, rather
than relying on conversion of end tidal O2.
Furthermore, the CMRO2 changes derived from the Yv-based model
demonstrate better agreement with the existing models than the existing models
do with each other.
While the Yv-based model does assume that Yv changes in the brain are spatially uniform, it does allow
for CBF changes while assuming invariant CMRO2, the latter being required for both Davis and
Chiarelli models. Future studies will explore quantification of baseline CMRO2 and CMRO2 responses in absolute physiologic units through
dual-gas breathing calibration.3,11Acknowledgements
The
project described was supported by NIH grants R21 EB022687 and T32 EB020087.References
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