Shruti Agarwal1, Haris I. Sair1, and Jay J. Pillai1
1Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States
Synopsis
The validity of BOLD
fMRI in pre-surgical planning may be severely compromised due to disruption of the normal
coupling between neural activity and the consequent microvascular blood flow
response (neurovascular uncoupling, or NVU). The effects of brain tumor-induced
NVU on resting state BOLD fMRI (rsfMRI) have been previously described through
seed-based correlation analysis (SCA). In this study, we evaluated regional
homogeneity of resting state fMRI data using Kendall's coefficient of
concordance (KCC-ReHo) & Coherence (Cohe-ReHo) metrics and compared these
results with those of “gold standard”motor task-based (tbfMRI) activation to determine
their effectiveness in detecting NVU in the sensorimotor network.
Purpose
The validity of BOLD fMRI in pre-surgical planning may severely be compromised due to disruption
of the normal coupling between neural activity and the consequent microvascular
blood flow response (neurovascular uncoupling, or NVU). 1 The effects of brain tumor-induced
NVU on task based and resting state BOLD fMRI (rsfMRI) have been previously
published.2,3
In this study, we evaluated regional homogeneity (ReHo) of rsfMRI data based on Kendall's coefficient of concordance
(KCC-ReHo) 4
& Coherence (Cohe-ReHo) 5 metrics and compared the these results with those of standard
motor tbfMRI activation to determine whether such metrics may allow detection
of brain tumor-induced NVU in the
sensorimotor network. Methods
Twelve patients with perirolandic primary gliomas referred for
presurgical motor mapping with BOLD fMRI were included in this IRB-approved
study. Each patient demonstrated NVU as evidenced by abnormally decreased or
absent tbfMRI activation in ipsilesional (IL) compared to contralesional (CL) primary
motor cortex despite absence of clinical motor deficits or impaired task
performance.2
Imaging was performed on a 3.0 T Siemens Trio MRI with a 12-channel head matrix
coil. Imaging protocol included 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) structural and
multiple 2D GE-EPI T2* weighted BOLD sequences for both tbfMRI and rsfMRI (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 duration rsfMRI scan. Vertical tongue movement and bilateral
simultaneous sequential finger tapping tasks (each 3 minutes duration with alternating
30 seconds blocks of movement and rest were used for tbfMRI. Instructions for
all tasks were visually cued. SPM12 was used for preprocessing of tbfMRI (slice
timing correction, realignment, normalization to MNI space at 2mm voxel
resolution, and spatial smoothing using a 6 mm FWHM Gaussian kernel). Similar
pre-processing steps were performed on rsfMRI data except the smoothing which
was done after ReHo maps were calculated. Z-score maps for the motor tasks were
obtained from the general linear model (GLM) analysis using the standard SPM canonical
HRF (reflecting motor activation vs. rest). Pre-processed rsfMRI data were
analyzed using the REST(version 1.8)6 toolkit. After detrending and low
frequency (0.01-0.08 Hz) bandpass filtering, KCC-ReHo & Cohe-ReHo were
calculated. For ROI analysis, pre- and post- central gyri were automatically
parcellated using an Automated Anatomical Labeling (AAL) template7,8 for each
patient. Cl and IL ROIs circumscribing the combination of pre- and post-
central gyri (CG) were obtained for each slice. Consecutive axial sections were
evaluated along the z-axis where lesion was present in pre- & post CG.
Identical ROIs were used for analysis of the tbfMRI, KCC-ReHo and Cohe-ReHo
maps.Results
Voxel values in the CL & IL ROI of each
map were divided by the corresponding global mean of KCC-ReHo & Cohe-ReHo in cortical
brain tissue. Group analysis demonstrated significantly decreased mean values of KCC-ReHo and Cohe-ReHo in the ipsilesional
ROIs compared to the contralesional ROIs (based on nonzero voxels in the
respective ROIs including only the lesion volume (p=0.02 & p=0.04)). These findings correspond to similar ipsilesional
abnormal BOLD signal reductions on tbfMRI (p=0.0005) on the bilateral movement
tasks that indicate NVU in these patients without clinical motor deficits or
suboptimal task performance. Figure 1
displays results for a single patient. Discussion
In this preliminary study we have demonstrated that ipsilesional
reduction in regional homogeneity of resting state fMRI due to perirolandic
tumors may be as useful an indicator of tumor-induced neurovascular uncoupling
affecting the sensorimotor network as asymmetric ipsilesional reductions in
tbfMRI activation. The potential advantages of ReHo may be the scalability of
this method for assessment of other brain networks beyond the sensorimotor
network, and future studies will explore this possibility. Conclusions
Ipsilesional
abnormalities in ReHo derived from rsfMRI may serve as a potential indicator of
NVU in patients with brain tumors and other resectable brain lesions; as such,
ReHo findings may complement findings on tbfMRI used for presurgical planning.Acknowledgements
This work is
partially supported by NIH grant R42 CA173976-02 (NCI).References
1. Attwell D,
et al. Nature 2010;468:232-243
2. Zacà D, et
al. J Magn Reson Imaging 2014;40(2):383-90
3. Agarwal S
et al. J Magn Reson Imaging 2016 Mar; 43(3):620-6
4. Zang Y et
al. Neuroimage 2004;22(1):394-400
5. Liu D et
al. Front Syst Neurosci 2010;4:24
6. Song X-W
et al. PLoS ONE 2011;6(9):e25031
7.
Tzourio-Mazoyer N et al. Hum Brain Mapp 2002;17:143–55
8. Smith SM. Hum Brain Mapp 2002;17:143–55