Mehrnaz Jenabi1, Kyung Peck2, Madeleine Gene1, and Andrei I Holodny1
1Radiology, MSKCC, New York, NY, United States, 2medical physics, MSKCC, New York, NY, United States
Synopsis
The
resting state fMRI (rfMRI) was used to estimate the BOLD signal change in
response to natural breathing to measure the impairment of cerebra vascular reactivity (CVR) due
to the presence of tumor. CVR associated values
were obtained from the low frequency fluctuation of rfMRI and averaged over whole brain and tumor region of
interests to measure the frequency related CVR properties respectively. These results
indicate the existence of inter/intrasubject variability in low frequency and
more sensitivity of the whole brain homogeneity to frequency rather than tumor. CVR mapping can
determine the area of potential neuro-vascular uncoupling in the brain.
Purpose
Since
the fluctuation of amplitudes of slow oscillation (<0.1Hz) in arterial blood
CO2 level is occurring naturally due to change in respiration
pattern, resting state fMRI (rfMRI) can be used to measure cerebra vascular reactivity (CVR) as a change in
cerebral Blood flow in response to spontaneous breathing¹²³. Different parameters derived from spontaneous
low frequency fluctuation (LFF) of rfMRI have been used to quantify CVR. The
purpose of this study is to utilize rfMRI to estimate the BOLD signal change in
response to natural breathing to measure the impairment of CVR due to the
presence of tumor and to determine whether this tumor-induced CVR can be
corrected using specific frequency band.Material and Methods
10 controls (49.25±8.15
years) and 60 patients (49.73 s±15.36
years) were included in this study. Patient
were grouped according to pathology: glioma grade IV(GBM) (N=24), grade III
(N=7), grade II and I (N=19) and metastases(MET) (N= 10). After preprocessing,
the rfMRI signal was first, filtered into 3 different frequency
band (0.01-0.02, 0.02-0.04, 0.04-0.08 along with a full band 0.01-0.1 Hz) and
then the LFF time series was calculated in each
frequency band. A linear regression model was carried out using LFF as a
dependent variable and the mask of each voxel in the brain as an independent
variable. The standard deviation of residual error (SD map), regression coefficient (R map), the
amplitude-spectrum associated with frequency (AMP map), the amplitude of low-frequency fluctuation
(ALFF)⁴ and the regional homogeneity based on the Kendall’s coefficient of
concordance (KCC map)⁵ derived from LFF were estimated voxel wise and averaged over
whole brain and tumor region of interests (ROIs) to measure the global and
regional frequency related CVR properties respectively. All statistical test was set at minimum 0.99%
significant.Results
ALFF associated with full frequency band was highly correlated
with SD (r>0.95) and R (r>0.6) maps in whole brain and tumor ROIs in all 3-frequency band. The average value of SD
in control and patients, across both ROIs increases with frequency (p<).
The difference in the value of SD map between tumor and whole brain ROIs was
significant in each frequency band (p<)
but the % change of SD value between tumor and whole brain ROI, slowly grow
with frequency (MET and GBM: 9%, grade II & III: 31%). The value of R in
control brain and patients across both ROIs are relatively constant (whole
brain:0.99±0.008 and tumor: 0.57±0.063) independent of change in frequency. The
value of R for GBM patients was higher globally (GBM: 1>control:
0.9927>grade III: 0.9918>grade II: 0.9911>MET:0.9898) and lower in
tumor ROI (GBM: 0.5< MET: 0.54< grade III: 0.61<grade II: 0.65). The
difference in the value of R map between tumor and whole brain ROIs was
significant in each frequency band (p<,
q<0.001). The value of AMP in control brain and across patients over both
ROIs are decreased as frequency increased. But the difference is not
significant (17%, p<0.1). The average value of AMP globally was lower in MET
brain (MET:242<GBM: 264< grade II and III: 300 <control: 314) and
regionally in GBM tumor (GBM: 155< MET: 177< grade II and III: 210). The
difference in the value of AMP map between tumor and whole brain ROIs was
significant in each frequency band (p<,
q<0.001) except for MET (significant at 0.01-0.02 band, p< The value of KCC in control and patient across
whole brain ROI is significantly increased as frequency increased (p<,
q< ), but the change across tumor ROI was not
significant (p<0.02 and q<0.6). In GBM only, the difference in the value
of KCC map between tumor and whole brain ROIs was significant across all
frequency band (p<,
q<). For MET, the significance was shown only at 0.01-0.02
band (p< For grade II&III, the significant
difference was observed in 0.02-0.04 band only (p< ,q< )
(figure 1-5).Discussions
These results indicate that the global
homogeneity of brain is more sensitive to frequency than the reginal
homogeneity of tumor. The positive dependency of SD map with frequency in terms
of the intrasubject variability and the value of SD (figure
1-4), suggest that LFF in lower frequency is more reliable to estimate the NVU
related false negative effects. The independency of R with frequency (figure 5),
indicates that regression confitente of rfMRI is only depens on the
characterization of tumor. Conclusion
CVR mapping can determine the area of
potential NVU in the brain to provide more accurate information in pre-surgical
planning. Furthermore, rfMRI is a feasible alternative to estimate CVR map. Acknowledgements
No acknowledgement found.References
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