Xiao Ling1, Chen Niu1, Pan Lin2, Kun Zhang3, Xin Liu4, Wenfei Li1, Liping Guo1, and Ming Zhang*1
1Department of Medical Imaging, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People's Republic of China, 2Key Laboratory of Biomedical Information Engineering of Education Ministry, Institute of Biomedical Engineering, Xi’an Jiaotong University, Xi'an, People's Republic of China, 3Department of Electronics Engineering, Northwestern Polytechnical University, Xi'an, People's Republic of China, 4Technical University Munich
Synopsis
The aim
of the study was to observe the activation of DMN in patients with different
types and location brain tumors, and as so to investigate whether the type and
location of tumor would affect DMN spatial distribution. In our study, we
compared the spatial distribution of DMN both glioma and meningioma. Finally, our
findings show that DMN integrity is impaired as a result of tumor, and the DMN
spatial distribution could be affected by the location of the brain tumor.
Introduction
Resting state fMRI (Rs-fMRI)
using the blood oxygenation level dependent (BOLD) can reliable and rapidly
detect common functional connectivity network and has sufficient sensitivity
for identifying patterns of network alterations in the brain.1The
default mode network (DMN) is an intrinsic brain system which exists neural
activity and connectivity. Several previous studies had reported that the tumor size
and grade could affects the activation of DMN.2,3 However,
only few studies have attempted to determine the effect of brain lesion
location and type on activity in DMN. The aim of the current study was to
observe the activation of DMN in patients with different types and location
brain tumors, and as so to investigate whether the type and location of tumor
would affect DMN spatial distribution.Materials and Methods
Forty patients with brain
glioma (n=20) and meningioma (n=20) were selected (right hands, age range:
27-65 years, mean: 49.27 ± 10.65 years; female: n=21). We employed 3.0 T GE
scanner equipped with an eight-channel head coil. Both structural images (3D
FSPGR 1x1x1 mm3, 140 slices) and BOLD EPI data (TR/TE = 2500/40 ms, flip
angle=90°, 3.75x3.75x3mm3)
were acquired. The Rs-fMRI analysis was performed using AFNI and FSL software.
The spatial smoothing was performed at 6-mm FWHM Gaussian kernel to reduce
noise. The functional connectivity MRI images were filtered with a high pass
filter. The functional images were normalized to structural images from
the Montreal Neurological Institute (MNI) 152 standard brain space. The ICA
analysis was carried out using probabilistic independent component analysis
(PICA). The number of components was automatically estimated from the fMRI data
by means of a Laplace approximation to the Bayesian evidence of the model
order. The resulting maps were thresholded using an alternative hypothesis test
based on fitting a Gaussian/Gamma mixture model to the distribution of voxel intensities within
spatial maps and a posterior probability threshold of p > 0.5.Results
In our study, we compared
the spatial distribution of DMN both glioma and meningioma. Our preliminary
results showed no significant difference in the activation of DMN between the
two groups (Fig.1). Furthermore, the patients were classified into two groups
according to the spatial distribution of tumors. Figure 2A shows that the tumor
located in the inferior parietal lobe (red arrow), we can observe anterior
default mode network in this type. Figure 2B shows that the tumor located in
the prefrontal lobe (red arrow), only showing posterior default mode network in
this type. Our results suggest that the activation of DMN may be impacted by
the location of the brain tumor.Discussion and Conclusions
Our findings show that DMN
integrity is impaired as a result of tumor, and the DMN spatial distribution
could be affected by the location of the brain tumor. A reduction of DMN functional connectivity between the damaged areas and other
functional connected regions could be observed in this study, and the tumor
location may have an impact on connectivity of function network.
Additional, the tumor location may damage the
connection path of DMN. The finding that modifications in DMN spatial
distribution were related to tumor location provides additional insight in
explaining the relationship brain lesions and cognitive dysfunction, opening
new prospects of neurological intervention.Acknowledgements
This research work was
funded by National Natural Science Foundation of People's Republic of China (FC
No.81171318, No.30870686, No.81000635, No. 61401363) and
supported by “the Fundamental Research Funds for the Central Universities”.References
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2 Ghumman S, Fortin D, Noel-Lamy M, et al.
Exploratory study of the effect of brain tumors on the default mode network. J Neurooncol.2016;128(3):437-444.
3 Harris
R J, Bookheimer S Y, Cloughesy T F, et al. Altered functional connectivity of
the default mode network in diffuse gliomas measured with pseudo-resting state
fMRI. J Neurooncol. 2014;116(2):373-379.