Lian Li1, Michael Chopp1,2, Guangliang Ding1, Esmaeil Davoodi-Bojd1, Qingjiang Li1, Yanlu Zhang1, Ye Xiong1, and Quan Jiang1
1Henry Ford Hospital, Detroit, MI, United States, 2Oakland University, Rochester, MI, United States
Synopsis
Using dynamic MRI glymphatic measurement and our
advanced mathematic model, the alterations of glymphatic function
in the brain with mild TBI were investigated. Our
data show that mild TBI leads to both impaired influx and efflux of contrast agent along the glymphatic
pathway. The reduced efficiency of glymphatic function
affects the multiple regions across the brain, which may decrease the clearance of waste metabolites and facilitate protein
aggregation, contributing to subsequent
cognitive deficits. The global change in brain clearance function,
rather than the appearance of focal lesions, appears to provide a reliable
measure indicating the injury of the brain.
Introduction
As
a brain-wide perivascular network, the glymphatic system allows cerebrospinal fluid (CSF) to exchange
with interstitial fluid (ISF), facilitating
the clearance of waste from the brain1.
Impairment of glymphatic system is found in many neurological diseases,
including traumatic brain injury
(TBI), and is linked to associated long-term cognitive deficits. However, most of previous studies
mainly used two-photon and histological methods to study the changes of glymphatic system resulting from TBI1-2.
There is a lack of whole brain investigation, especially conducted in vivo, on the alterations of glymphatic function after mild TBI, that
accounts for at least 75% of brain injuries. In addition, definitive diagnosis
of mild TBI with routine neuroimaging modalities remains a challenge3.
The changes in brain function, such as the variance in glymphatic clearance that
plays an important role in the trauma-induced cognitive sequelae, may offer a sensitive
and confirmatory assessment for this neurological injury. For mathematical modeling
of the glymphatic
activity, we recently developed an advanced two-compartment kinetic model4.
Instead of the global input function from the injection site, we used the local
input function obtained from clustering the tissues based on their dynamic
responses to the infusion of contrast agent. By fitting the model to the local
cerebral regions rather than to the averaged time signal curve (TSC) of the
whole brain, more accurate kinetic parameters that characterize the specific
features for the dynamic transport of contrast agent
in a living brain were then derived. With this advanced model and derived parameters, we perform the present study, for the first time, in the field of mild TBI.
By calculating parametric maps and quantifying in typical tissue regions across the brain, the present
investigation was designed to reveal whether the impairment of glymphatic pathway function occurred as a
result of mild TBI and the manner in which the glymphatic function was altered in the injured brain.Methods
Mild
TBI was induced by a closed head impact5. Male Wistar rats with and without TBI (~400g, n=7/group)
underwent the identical MRI protocol 10-weeks post-injury. T2WIs (TE=15, 30, 45, 60, 75, and 90ms, TR=4.5s, FOV=32x32mm2,
matrix=128x128, 13 slices, thickness=1mm)
were measured for detection of brain tissue changes. To monitor the dynamic
influx and clean-out process, 3D T1WIs (TE=4ms, TR=15ms, flip angle=15°, FOV=32x32x16mm3,
and matrix=256×192×96) with contrast agent of Gd-DTPA was employed. The
acquisition of T1WIs continued for 6h with initial three baseline scans
followed by intra-cisterna magna Gd-DTPA (21mM concentration) delivery via the
indwelling catheter at an infusion rate of 1.6ml/min over 50min6.
Based on the TSC in each cluster, parameters of infusion
rate and clearance rate representing the slope of signal increase in the
accumulation phase and the slope of signal decrease in the relaxing
phase of the TSC, respectively, were calculated. The clearance
time constant was obtained by fitting a one exponential model to the relaxing phase of the TSC. Parametric maps of infusion rate, clearance rate and
clearance time constant for whole brain were then generated, and quantitative evaluation
on these maps in the regions of interest (ROIs, Fig. 1) was performed.Results
There was no lesion or
injury present on conventional structural images, such as T1WIs and T2WIs. The dynamic profiles for both influx and clean-out process
of contrast agent, however, demonstrated the brain alteration in glymphatic function as a result of
mild TBI. In all measured ROIs that
encompassed major typical tissue areas in the brain, lower infusion rate (Fig.
2A) and clearance rate (Fig. 2B) were found for the TBI animals
compared to the healthy controls, with differences in the majority of regions
reaching statistical significance. In addition, significantly higher clearance
time constant values (Fig. 2C)
in the most measured regions were detected in the TBI group than in the control
group.Discussion and Conclusion
Even without visible
lesions, the alterations of glymphatic function in
the brain with mild TBI, as monitored by dynamic MRI glymphatic measurement and
characterized by parametric maps, can be revealed using our advanced mathematic model4. The change in brain clearance function, rather than the
appearance of focal lesions, appears to provide a reliable measure indicating
the injury of the brain, particularly at the setting of mild TBI, and should be
therefore considered as one of important factors leading to the neurobehavioral
sequelae. Our data show that mild TBI markedly insults both influx and efflux of contrast
agent along
the glymphatic pathway. The reduced
efficiency
of glymphatic function affects the multiple regions across the brain
rather than within the restricted areas associated to the impact site. The globally impaired
glymphatic function may decrease the clearance of waste metabolites and facilitate
protein aggregation1, which in turn contribute to neurodegeneration and subsequent cognitive
deficits5.Acknowledgements
This work was supported by NIH grants RO1
NS064134 (Jiang), R21AG052735 (Jiang), NS079612 (ZG
Zhang), NS062832 (L Zhang), AG037506 (Chopp).References
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