Shruti Agarwal1, Haris I. Sair1, Sachin Gujar1, Arvind P. Pathak 1,2, and Jay J. Pillai1
1Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Dept. of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
Synopsis
Neurovascular
Uncoupling (NVU) can critically limit presurgical mapping using blood oxygen
level dependent functional magnetic resonance imaging (BOLD fMRI).
False-negative activations caused by NVU can lead to erroneous interpretation
of clinical fMRI examinations. Brain tumor-related NVU has been previously
demonstrated on task-based BOLD fMRI (tbfMRI) and resting state BOLD fMRI
(rsfMRI). The purpose of this study is to demonstrate that NVU in the sensorimotor
network can be similarly detected on rsfMRI and BH CVR maps as evident in the
criterion standard tbfMRI.
Purpose
False negative BOLD fMRI activation in the eloquent cortex surrounded by
brain tumors or other focal brain lesions can lead to inaccurate pre-surgical
planning which can result in inadvertent eloquent cortical resection.1 These
false negative BOLD responses in the vicinity of focal brain lesions often
occur due to the disruption of coupling between neuronal activity and adjacent
microvascular responses. This phenomenon of neurovascular uncoupling (NVU) is a
critical limitation of clinical fMRI. Brain tumor-related NVU has been
previously demonstrated in task-based BOLD fMRI (tbfMRI)2 and in resting
state BOLD fMRI (rsfMRI)3. The purpose of this study is to
demonstrate that the NVU in sensorimotor network of patients with low-grade
perirolandic tumors can be similarly detected on rsfMRI and breath hold
cerebrovascular reactivity (BH CVR) maps as evident in tbfMRI.Methods
Among 114 patients undergoing clinical presurgical fMRI mapping along
with rsfMRI from 2012 to 2016, a total of twelve such patients displayed
perirolandic tumors with evidence of NVU involving the motor network. This was
manifested as abnormally decreased or absent tbfMRI activation and corresponding
decreased BH CVR in the primary sensorimotor cortex of the ipsilesional
hemisphere without corresponding motor deficits or inadequate task performance.2 Imaging was performed on a 3.0 T Siemens Trio MRI with a 12-channel head matrix
coil. Imaging protocol included a 3D T1 MPRAGE (TR=2300 ms, TI= 900 ms, TE= 3.5
ms, 9° FA, 24-cm FOV, 256x 256x176 matrix, slice thickness 1 mm) for structural
imaging and multiple 2D GE-EPI T2* weighted BOLD sequences for task, BH &
resting functional imaging (TR=2000 ms, TE=30 ms, 90° FA, 24-cm FOV, 64x64x33
matrix, 4 mm slice thickness with 1 mm gap between slices, interleaved
acquisition). 180 volumes were acquired in a 6 minute rsfMRI scan and 130
volumes were acquired in a 4 minute 20 sec BH scan. The motor tasks used were a vertical tongue
movement task and a bilateral simultaneous sequential finger tapping task (each
3 minutes long with 30 seconds blocks of rest alternating with 30 seconds
blocks of motion). The details of the BH task are described in a previous
publication.2 Instructions for all tasks were visually cued. SPM
software was used for preprocessing of BH, tbfMRI & rsfMRI data (slice
timing correction, realignment, normalization to MNI space at 2mm voxel
resolution, and spatially smoothing using a 6 mm FWHM Gaussian kernel). Z-score
maps for the motor and BH tasks were obtained using general linear model (GLM)
analysis using SPM software (reflecting motor activation vs. rest and
hypercapnia vs. baseline, respectively). De-trending for removal of systematic
linear trend and low frequency (0.01-0.08 Hz) bandpass filtering was performed
on the pre-processed rsfMRI data using the REST (version 1.8)4
toolkit. An Automated Anatomical Labeling (AAL) template5,6 was used
to obtain a seed region circumscribing the combination of pre- and post-
central gyri (CG) in each contralesional (CL) hemisphere. Pearson linear
correlation was calculated using REST toolkit between the seed region in CL to
ipsilesional (IL) pre- and post- CG to obtain the functional connectivity map
(Seed Correlation Analysis (SCA) Map) of the sensorimotor network in each
patient.3 BOLD signal changes on un-thresholded Z score maps derived
from all three maps BH CVR, tbfMRI, and SCA rsfMRI were evaluated in pre- and
post- central gyri for evidence of NVU. A subsequent two-tailed t-test was
performed on the mean Z-scores to determine whether statistically significant
differences between the two sides that were consistent with NVU were present.Results
Group analysis revealed significantly decreased motor activation (p=0.0005)
in ispilesional (IL) compared to contralesional (CL) perirolandic ROIs in these
patients with motor cortical NVU. Significant IL BOLD signal decreases compared
to CL ROIs were found on BH CVR maps (p=0.03) and SCA maps (p=0.0004),
suggesting that these findings also reflect the presence of NVU. Single subject
data for one patient are provided in Figure
1.Discussion
Our study demonstrates that there is significantly decreased ipsilesional
BOLD signal within the sensorimotor network on both resting state fMRI and BH
CVR maps in this group of perirolandic primary glioma patients. Since none of
these patients displayed clinical motor deficits suggestive of tumor-related
destruction of the primary motor cortex, such ipsilesional BOLD signal
decreases are indicative of NVU, similar to previously established findings
with tbfMRI.Conclusion
Our study suggests that neurovascular uncoupling within the sensorimotor
network can be similarly detected on rsfMRI using seed-based correlation
analysis for functional connectivity assessment as well as on BH CVR maps.
These findings are analogous to findings on task-based fMRI in the setting of
NVU.Acknowledgements
This work is partially supported by NIH grant R42 CA173976-02 (NCI).References
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