Xiang He1, Kenneth Wengler1,2, Ananth Narayanan3, Chuan Huang1, Christine DeLorenzo3, Ramin Parsey3, Mark Schweitzer1, and Andrew Goldfine3
1Radiology, Stony Brook University School of Medicine, Stony Brook, NY, United States, 2Biomedical Engineering, Stony Brook University, Stony Brook, NY, United States, 3Psychiatry, Stony Brook University School of Medicine, Stony Brook, NY, United States
Synopsis
Five post-stroke apathy
patients underwent simultaneous 18F-FDG-PET/MRI to determine brain
metabolic rates. PET data was used to determine whole brain metabolic rate of
glucose (MRGlu). Quantitative BOLD and arterial spin labeling MRI was used to
determine cerebral metabolic rate of oxygen (CMRO2). Metabolic rates were
compared for the two modalities to determine useful information associated with
post-stroke apathy. The prefrontal cortex showed decreased metabolic rates for
both CMRO2 and MRGlu potentially indicating apathy. MR qBOLD-derived CMRO2
measurements demonstrated good correlation with PET 18F-FDG
metabolism, providing strong support for its adoption as a non-invasive mapping
of brain metabolism in patients with post-stroke apathy. Purpose:
Apathy
is present after stroke in approximately 35% of patients based on a recent
meta-analysis1 and impacts stroke outcomes on multiple levels. It
directly lowers patient interaction with family and friends, thereby worsening
quality of life. Moreover, multiple
studies have found that apathy is associated with worse disability and slower
recovery, and generally does not improve even up to a year later2-4.
It is hypothesized that this is a behavioral
representation of injury to the arousal regulation system. Recent
studies have observed more conservative behavior on a gambling task in patients
with apathy, and abnormal blood flow in the brain regions involved in reward
processing5.
In this study, abnormal brain metabolism in post-stroke
patients with apathy was investigated with simultaneous MRI and PET measurement.
Quantitative BOLD (qBOLD) approach6, combined with brain perfusion
measurement by pCASL-3D GRASE, provides a non-invasive measurement on cerebral
metabolic rate of oxygen (CMRO2)7. The MRI-derived CMRO2 values
will be correlated with metabolic rate of glucose (CMRGlu) values
measured from quantitative 18F-FDG PET. Our
working hypothesis is that post-stroke apathy will lead to dysfunction in the medial
prefrontal cortex by FDG-PET (reduced glucose metabolism) and MRI (reduced oxidative
metabolism).
Methods:
Five post-stroke patients
with diagnosed apathy were recruited for this IRB-approved study. Simultaneous
PET/MR quantification of brain metabolism was performed on Siemens 3T Biograph
mMR with a 16-channel head RF coil. MRI parameters for 2D qBOLD were: FOV of
256x256 mm
2; voxel size of 2x2x4 mm
3; 5 interleaved 4 mm slices
with 100% spacing; TR of 1000 ms; 4 repetitions with total acquisition time of
~8 minutes. Navigator echoes were inserted to correct B0 drifting
during the scan. Pseudo-continuous ASL (pCASL) with background suppression and
segmented echo-shifting 3D-GRASE acquisition was implemented
8. The
labeling time was 1600ms with a post-labeling delay of 1400ms. Other parameters
for ASL sequence were: voxel size of 3x3x3 mm
3; matrix of 64×48×28;
3PAR× 2PE segmentation; echo spacing of 700µs; echo train
duration of 21 ms; 120
◦ refocusing RF; TR of 4 sec; total
acquisition time of ~7 min (16 label/control pairs). Standard dynamic quantitative
18F-FDG-PET protocol ran simultaneously with the MRI. Two IV
catheters were inserted into the subject’s upper limbs. One was used to inject no more than 5 mCi of FDG
when the patient was on the PET/MR scanner table. The other was used to obtain venous
blood samples to measure glucose levels at 45 mins after injection. Total PET
acquisition time was 60 min.
Results & Discussions:
The MR
qBOLD data was processed individually before the estimated maps were averaged
to calculate oxygen extraction fraction (OEF). CBF maps were calculated using
the standard approach. CMRO2 was subsequently calculated as the
product of CBF and OEF. Figures 1 and 2 show the CMRO2 and 18F-FDG-PET maps along with the corresponding T1w image from 2
representative subjects.
In general, oxygen and
glucose metabolism show good overall agreement. The most notable differences
lies in the areas of very low CMRO2 values. Meanwhile, the FDG metabolism in
these regions is reduced relatively with the surrounding brain regions, but not
as significantly when compared to CMRO2 values. This may be caused
by mitochondrial dysfunction thus reduced efficiency after ischemic stroke, and
potential up-regulation of the anaerobic glycolytic metabolism pathway, and/or a
lack of oxygen/blood supply.
Results from subject one
(Fig 1) demonstrates a good oxygen and glucose metabolism correlation within
the frontal lobe but displays differences in the parietal lobe. This could be
the result of vascular stenosis caused by the stroke that potentially delays
the arterial arrival time, thus under-estimates the brain perfusion, and
therefore under-estimates CMRO
2 measurement. Subject two (Fig 2) displays good agreement between CMRO
2
and CMR
Glu throughout both hemispheres. Both subjects show suppressed
metabolic activity in the prefrontal cortex, potentially a sign of apathy.
Conclusion:
MR qBOLD-derived CMRO
2 measurements have showed good correlation with PET
18F-FDG metabolism, providing strong support for its adoption as a non-invasive mapping of brain metabolism in patients with post-stroke apathy. MR CMRO
2 and
18F-FDG-PET can complement each other and provide further insights into brain metabolism changes in post-stroke apathy patients, and patients with other neurological diseases.
Acknowledgements
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