Siqi Cai1, Zhifeng Shi2, Shihui Zhou1,3, Chunxiang Jiang1,3, and Lijuan Zhang1
1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2Huashan Hospital of Fudan University, Shanghai, China, 3University of Chinese Academy of Science, Beijing, China
Synopsis
The
systemic oscillation of the blood flow in cerebrum and cerebellum may vary with
gliomas of different malignancy, resulting in neurovascular uncoupling and abnormal
perfusion. In this study, we investigated the implication of glioma on the oscillation
of cerebral blood flow based on time-shifted rs-fMRI. HGGs induces more widely
alterations in the spontaneous fluctuations of cerebral and cerebellar blood
flow at the global scale. Vascular oscillation changes derived from rs-fMRI may
provide a novel insight for the assessment of the functional plasticity and its
clinical relevance in the interpretation of the psychological and psychiatric
symptoms in subjects with glioma.
Instruction
The systemic oscillation
of the blood flow in cerebrum and cerebellum may vary with gliomas of
different malignancy as a result of impaired neurovascular coupling (NVC) and/or cerebral perfusion.1-3 In this study, we aim to explore
the implication of cerebral glioma on the oscillation of global cerebral blood flow based
on the temporal-shift resting state functional MR images (rs-fMRI).
Materials and Methods
This study was approved by local institutional
review board. A total of 33 subjects (LGG: female/male 6/9, aged 35.10±8.13; HGG:
female/male 9/9, aged 44.88±11.55) with
histological confirmed glioma located in left hemisphere were consecutively recruited.
Rs-fMRI data was acquired using gradient echo-planar imaging sequence (3.0T, Siemens
Verio, Germany) with a 12-channel phase array head coil. The major imaging parameters
were TR/TE 2000/35ms, FA 90°, FOV 210×210mm, matrix 64×64, slice thickness 4.0mm,
240 volumes. Rs-fMRI data were preprocessed using Graph Theoretical Network
Analysis toolbox.4 The first 10 time points
were discarded for scanner calibration. Slice timing and realignment were
performed in turn to remove the temporal differences between slices and
correct head movement. The signal of CSF and head motion parameters
obtained with Friston 24-parameter model were regressed out. Images were then
normalized to the standard Montreal Neurological Institute template (MNI152) with
voxel size resampled to 2 x 2 x 2mm3 and spatially smoothed by a
Gaussian kernel (FWHM = 4mm). Linear trend removing and low-pass filtering
(0.01-0.1Hz) were applied to remove high frequency physiological noises and low
frequency drift. The mean BOLD dynamics of the contralesional
hemisphere (CH) was defined as the regressor. The time series of each voxel was
shifted from -7TR to +7TR. Linear regression was conducted to calculate the regression
coefficient between the time series of each voxel and the regressor at each time
shift, resulting in a series of regression coefficient for each voxel [β-7TR, β-6TR, ... ,β+6TR, β+7TR]. The
temporal shift value with the maximum regression coefficient was assigned to the
given voxel, forming the time shift map of each subject (Figure 1).
The negative time-shift values represent the area with potential hypoperfusion, while the positive values indicate possible hyperperfusion.5
Coefficient
of kurtosis and skewness were calculated for the contralesional cerebral
hemisphere and each cerebellar hemisphere based on the histogram of the time
shift map. Two-tailed t test and permutation test were performed for intergroup
comparison between low grade (LGG) and high grade gliomas (HGG) (SPSS 19.0). pīš¤0.05 was set as significance
level with multiple comparison correction.Results
Representative time-shift maps of LGG and HGG were shown in Figure 1. More voxels with temporal
shift = 0 were observed in LGG than HGG group (p <0.05, FDR corrected). The percent
of voxels with +2TR and +3TR temporal shift in the contralesional hemisphere were significantly higher
in HGGs than that of LGGs (p <0.05, FDR corrected) (Figure 2). The histogram
distribution of the temporal shift value in the contralesional hemisphere showed significantly intergroup difference,
with HGGs manifesting lower kurtosis and higher skewness relative to LGGs.
The histogram of the contralesional cerebellum showed a lower kurtosis in HGGs as compared to that of LGGs (p<0.05, permutation test, number of permutations = 1,000) (Figure 3).Discussion
The
dynamic of rs-fMRI is reflective of NVC in healthy brains.6 Growth of glioma may
interrupt the NVC, possibly due to vascular dysfunction or the interaction among astrocytes, neurons and the glioma cells.3 Glioma-induced local or systemic hypercapnia would result in impaired
vascular autoregulation, leading to neurovascular uncoupling and abnormal perfusion. LGGs and HGGs proliferate with different pattern, and may interrupt the NVC at various degrees.1 This may interpret the distinct intergroup variations in the spontaneous fluctuations of cerebral blood flow in this study. The deminishing vascular autoregulation may pivot the tumor progression and intertwine with functional and structural plasticity in shaping the global effect of glioma.Conclusion
HGGs induces more widely
alterations in the spontaneous fluctuations of cerebral and cerebellar blood flow
at the global scale. Alterations
in the cerebral vascular oscillation derived from rs-fMRI provide a novel
insight for the assessment of the functional plasticity in the context of glioma progession, and may substrate clinical relevance of the the psychological and psychiatric symptoms
in subjects with glioma.Acknowledgements
No acknowledgement found.References
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