Domenico Zacà1, Silvio Sarubbo2, Monica Dalla Bona2, Umberto Rozzanigo3, Francesco Corsini2, Giovanna Faraca2, Franco Chioffi2, and Jorge Jovicich1
1Center for Mind/Brain Sciences-University of Trento, Trento, Italy, 2Department of Neurosciences, Division of Neurosurgery, “S. Chiara” Hospital, Trento APSS, Trento, Italy, 3Department of Radiology, “S. Chiara” Hospital, Trento APSS, Trento, Italy
Synopsis
In this study we evaluated the post-surgical
changes in functional connectivity of the default mode network (DMN) in 6 operated
glioma patients and assessed their relationship with pre-operative brain tumor
size, a factor that pre-operatively has been negatively associated to cognitive
performance. We found in all but one patient an increase in connectivity (average
Z-score) of the DMN following brain tumor surgery. These changes were not associated
with brain tumor volume, thus indicating that mechanisms other than reduction
of mass effect may drive the post-surgical reorganization of the DMN.
Introduction
Intrinsic brain activity (i.e. not in relationship to a specific
task) is organized in multiple networks including the default mode network (DMN),
whose activation is associated to multiple cognitive functions1. Several
studies have reported a decrease of functional connectivity (FC) of the DMN
prior to surgery in patients with gliomas in comparison with age-matched
healthy subjects, regardless of tumor localization and grade2,3. Therefore
in the last few years a vision of glioma not only as a localized disease but
also as a pathology that can impact global brain functioning has emerged4. Awake
surgery of brain tumor improves the extent of tumor resection with the added
benefit of excellent long-term functional outcomes5. However, to the best of
our knowledge, no studies have evaluated the longitudinal changes in FC of the
DMN following awake surgery and assessed its relationship with clinical
variables. In this study we aimed to investigate whether a post-surgical recovery
of DMN connectivity could be attributed to the reduction of tumor volume, a
factor that pre-operatively has been negatively associated to cognitive
performance6.Methods
Participants: 6 patients with histopathologically diagnosed gliomas were included
in this study approved by the local Ethical Committee. Table 1 reports for each
patient demographic and clinical information.
Image acquisition: Each patient underwent an MRI protocol before and after (6-10 months,
Table 1) undergoing awake surgery for tumor removal. A 3D T1-weighted gradient
echo sequence (axial acquisition, TR/TI/TE=10.64/450/4.23 ms, FA=12°, square
FOV=256 mm, voxel size=1x1x1 mm3, ASSET acceleration factor=2) and a
2D T2-weighted FLAIR sequence (axial acquisition, TR/TI/TE=11000/2800/122 ms, square
FOV=256 mm, voxel size=1x1x5 mm3, ASSET acceleration factor=2) were
acquired for anatomical imaging. A 2D T2*-weighted gradient echo planar imaging
(EPI) sequence was acquired for rs-fMRI (axial acquisition, ascending
interleaved slice order, TR/TE=2600/45 ms, FA=87°, square FOV=256 mm, voxel
size=4x4x4 mm3, slice gap=0.8mm, fat saturation, ASSET acceleration
factor=2, 275 volumes).
Image preprocessing: For rs-fMRI images (SPM12 and in house matlab code) the first 4
EPI volumes were removed to allow the
signal to reach steady state magnetization, followed by slice timing and head
motion correction, median (r=2) filtering, de-trending with a fourth order
polynomial and low pass filtering with second-order Butterworth filter
(f<0.1 Hz). Head motion shift and rotation parameters and the average time
series of white matter (WM) and cerebrospinal fluid (CSF) tissue masks,
obtained from the segmentation and co-registration of the T1-weighted images to
the rs-fMRI data, were temporally filtered as above and regressed out. Volume
outliers were inspected and removed using the ArtRepair software. Finally
before FC analysis rs-fMRI data was spatially smoothed using an 8 mm Full Width
Half Maximum Gaussian filter and normalized to MNI space using the transformation
matrix obtained from the segmentation module. For each patient individually the
two rs-fMRI runs were concatenated and then decomposed into 10 independent
components7 using the multi-session temporal concatenation procedure in
FSL-MELODIC. Each component was thresholded at z-scores > 2.3, P < 0.01.
The component with the highest number of voxels in common with a DMN template8 was chosen as representative of the DMN.
Dual-regression was then used to derive for each patients the single
session DMN. Single-session DMN volume maps were thresholded at z > 2.3,
P < 0.01. Tumor volume was derived as the volume of a manually drawn ROIs on
the pre-operative T2 FLAIR images that included tumor and surrounding edema (regions
of hyperintense signal).
Image post-processing: For each patient we calculated and
compared across the two sessions the average Z-score of the DMN using a
Wilcoxon-Signed rank test. In order to
assess whether the changes in connectivity were associated with brain tumor volume,
we calculated the Spearman’s correlation coefficient between brain tumor volume
and the difference between post and pre-surgical DMN average z-score (ΔZ).
Results
Single-session DMN maps were successfully obtained using dual
regression for each patient (Figure 1) The average z-score increased in all but
one patient (Figure 2) with trend significance level (n=6, Z=+19, p=0.06).
There was no significant correlation between ΔZ and pre-surgical brain tumor volume (ρ=-0.03, p=0.95).Discussion and Conclusions
The results of this study show an increase in FC of the DMN, following awake surgery of gliomas, not associated to
brain tumor volume. These findings suggest that mechanisms other than reduction
of mass effect may drive the post-surgical reorganization of the DMN. Ongoing
work is assessing the relationship between the DMN FC and neurocognitive status
changes at multiple longitudinal evaluations.Acknowledgements
This
work has been funded by FONDAZIONE
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