Sohae Chung1,2, Yadi Li3, Jacqueline Smith1,2, Steven R Flanagan4, and Yvonne W Lui1,2
1Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, NY, United States, 2Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, United States, 3Department of Radiology, The Affiliated Ningbo Medical Treatment Center Lihuili Hospital of Ningbo University, Zhejiang, China, People's Republic of, 4Department of Rehabilitation Medicine, New York University Langone Medical Center, New York, NY, United States
Synopsis
Voxel-based
morphometry (VBM) analysis has been used to detect morphometric changes of the GM
after mild traumatic brain injury (mTBI). Spatially normalized and modulated GM
density from VBM analysis is typically interpreted as GM volume. VBM is,
however, sensitive not only to changes in volume but to variations in T1
relaxation. In this study, we investigated alterations in GM density using
simulated images and VBM followed by an in vivo study of cortical GM
morphometry using GM density and cortical thickness in mTBI patients and
matched controls.Purpose
Mild traumatic brain injury (mTBI) is a growing
public health problem, which represents more than 80% of all traumatic brain
injury. However, our understanding of the underlying pathophysiology associated
with mTBI is limited. A few studies using voxel-based morphometry (VBM)
1
show morphometric changes to the GM after mTBI
2. Spatially
normalized and modulated GM density from VBM analysis is typically interpreted
as GM volume with a decrease in density equated with atrophy and an
increase in density equated with GM thickening
2,3. VBM is, however, sensitive
not only to changes in volume but to variations in T1 relaxation
4. In this
study, we investigated alterations in GM density using simulated images and VBM
followed by an in vivo study of cortical GM morphometry using GM density and
cortical thickness in mTBI patients and matched controls.
Methods
Simulation: Effect of altering T1
relaxation on VBM GM density was studied by using simulated images from a representative
T1 weighted image (T1WI) of a normal individual (25 year old man). 40% of
voxels within a frontal opercular region of interest (ROI) (total 833 voxels
through 7 slices) were selected for simulation (Fig. 2 (top)). Hyperintense voxels
were simulated via increasing voxel signal intensity by 5%-20% whereas
hypointense lesions were simulated via decreasing intensity by 5-20% (Fig.2 (top)).
Human Subjects: We studied 17 patients with mTBI within two weeks of
injury (age, 34.4±9.5; 21-52 years old) and 14 age- and sex-matched normal
controls (NC) (age, 33.8±9.6; 19-50 years old).
MRI Acquisition: MR
imaging was performed on 3T MR scanner (Skyra; Siemens). 3D MP-RAGE acquisition
was performed to obtain structural T1WI (FOV = 256 × 256 mm
2, matrix
= 256 × 256, resolution = 1 × 1 × 1 mm
3, slices = 192, TR/TE/TI =
2100/3.19/900 ms, FA = 8°, and bandwidth = 260 Hz/pixel).
Image Analyses:
FSL-VBM
5 carried out with FSL tools was used to assess GM density
changes. All data underwent noise reduction, brain-extraction, segmentation,
registration, modulation and smoothness. Regional cortical thickness was
estimated using FreeSurfer
6,7 and the results were visually
inspected and manually corrected by an expert neuroradiologist.
Results
In Fig.1, GM/modulated GM densities were higher in
the hyperintense regions, while they were lower in the hypointense regions. We
found that the cortical boundaries of the simulated lesions were almost
identical as shown in Fig. 2 (bottom). Fig.2 presents the VBM results showing
comparisons between NC and mTBI. We found three clusters having significantly
decreased modulated GM densities in mTBI (p < 0.001; shown in red-yellow;
> 350 voxels): right precuneus (cluster 1), left superior temporal (cluster
2), and left precentral regions (cluster 3). The mean values of modulated GM
densities for the NC and mTBI groups were 0.50 ± 0.054 and 0.40 ± 0.051 in
cluster 1, 0.56 ± 0.083 and 0.45 ± 0.03 in cluster 2, and 0.54 ± 0.054 and 0.45
± 0.048 in cluster 3, respectively. However, we found no significant
differences in cortical thickness and GM volume from FreeSurfer between NC and
mTBI groups.
Discussion
In this study, which used both VBM and cortical
thickness analyses, we demonstrate that changes in VBM results can be sensitive
to any alterations in the GM composition after mTBI, as opposed to the volume
of GM. We observed: 1) decreased GM/modulated GM densities in mTBI within three
regions (right precuneus, left posterior superior temporal gyrus, left
precentral gyrus); and 2) no significant differences in cortical thickness in
these regions. Absence of cortical thickness changes in the setting of positive
VBM findings, raises the possibility that differences in GM volume may not be
the cause of this finding. As our simulation results demonstrate, a measured decrease
in GM density can be due to changes in signal intensity within the region.
Decreases in signal intensity without concomitant changes in GM volume, may
arise in a variety of situations such as gliosis, resolving edema such as in
the case of subacute infarction, as well as areas of hyperacute and acute hemorrhage
(oxy- and deoxyhemoglobin).
Conclusion
This
study indicates that used together, VBM and cortical thickness analyses can provide greater detail regarding GM changes. Detecting
and understanding GM injury after mTBI is critical for further investigating
the mechanisms of tissue damage and recovery. Focal changes in GM density as
detected by VBM analysis may represent areas of signal changes rather than true
volume change, particularly in the setting of maintained cortical thickness.
Acknowledgements
No acknowledgement found.References
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