Zepeng Wang1,2, Ruiyang Zhao2,3, Xinyu Li1,2, Aaron Anderson2,4, Graham Huesmann4,5, and Fan Lam1,2,3
1Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 2Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 3Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 4Neuroscience Institute, Carle Foundation Hospital, Urbana, IL, United States, 5School of Molecular and Cellular Biology, University of Illinois at Urbana-Champaign, Urbana, IL, United States
Synopsis
Keywords: Epilepsy, Epilepsy, Spectroscopic imaging, mTLE, multi-TE MRSI
Motivation: Multimodal imaging integrating molecular information promises to improve seizure foci lateralization and disease progression monitoring for mesial temporal lobe epilepsy (mTLE).
Goal(s): To evaluate the feasibility of a multi-TE MRSI method optimized for simultaneously mapping metabolites and neurotransmitters in mTLE.
Approach: Volumetric multi-TE MRSI and structural MRI data were acquired and analyzed for an mTLE cohort. Regional analysis was performed to quantified molecular maps and hippocampus volumetrics.
Results: Reduced NAA/Cr ratios were observed for the ipsilateral hippocampous (epileptic side), consistent with prior findings and overall reduced hippocampus volumes. Reduced Glx/Cr ipsilaterally was observed. Interesting differences in anterior vs. posterior hippocampus were also reported.
Impact: We demonstrated the feasibility of a new MRSI technique
for mapping metabolic alterations in mTLE patients. Initial results support
promise for improved lateralization and better understanding biochemical
mechanisms of the disease using MRSI.
Introduction
Mesial Temporal Lobe Epilepsy (mTLE) is the most common
form of pharmacologically refractory epilepsy1,2, which is
frequently associated with progressive mesial temporal sclerosis (MTS) in the hippocampus
and eventually leads to bilateral seizure onset3,4. Although clinical
MRI plays a critical role in pre-surgical evaluation for the lateralizing epileptogenic
zone for dissection and post-treatment monitoring of mTLE, using anatomical
features alone led to around 33% mis/false-identification of lesions5.
Metabolic changes6-8 and tissue stiffness4 have
demonstrated potential in improving epileptic foci localization. The recent
advance in high-resolution MRSI6 also provides opportunities to study
multi-regional changes in limbic networks. But molecular information provided by
MRSI has mostly been limited to major metabolites such as NAA, Cr and Cho. There is an increasing
interest in measuring neurotransmitter components, e.g., Glx vs. GABA to investigate
excitatory/inhibitory imbalance and their connections with the progressive
pathology9,10. In this study, we evaluated the feasibility of a
recently developed 3D multi-TE MRSI method for simultaneously mapping metabolites
and neurotransmitters in mTLE brains. While the study is ongoing, initial
results from a small cohort showed promising results, e.g., reduced NAA/Cr
ratios in the ipsilateral hippocampus consistent with prior findings and
reduced Glx/Cr in the sclerosis side. Interesting differences in anterior vs.
posterior hippocampus are also reported.Methods
Patient
Recruitment and Demographics:
11 patients with unilateral moderate to severe mTLE
participated in this study (Table. 1). Clinical inclusion criteria were based on clear clinical diagnosis of mTLE by clinical epileptologists. mTLE
severity was determined based on the clinical findings on a combination of
clinical presentation, duration of seizures, EEG, T1w and T2w MRI, and/or
PET. EEG findings of frontotemporal slowing and sharp waves, MRI evidence
of hippocampal volume and internal architecture loss, and hypometabolism on
PET.
High-resolution
Multi-TE MRSI:
All patient data were collected on a Siemens Prisma 3T
system with local IRB approval. The MRI/MRSI protocol included T1w-MPRAGE (1.0×1.0×1.0mm3),
T2 FLAIR (0.9×0.9×5mm3), a 2-TE
MRSI scan with FOV = 240×220×64 mm3, 3.8×3.4×6.4 mm3 voxel
size, TR/TE = 1100/[65, 80]ms optimized for metabolite, Glx and GABA quantification12
and a B0 field map for MRSI processing (2.2×2.2×2.0 mm3).
Additional sets of lower-resolution MRSI data were acquired (6.8×6.9×8.0mm3)
for learning population-specific subspace for spatiospectral reconstruction.
Subspace-based processing steps, i.e., nuisance water/lipid
removal, augmented multi-TE subspace-based spatiospectral reconstruction11, and a multi-step metabolite quantification strategy were performed12.
Data
Analysis:
ROI masks of the hippocampus and its subdivisions (i.e.,
anterior and posterior) from both ipsilateral (sclerosis side) and
contralateral hippocampus were generated using FreeSurfer from T1w-MPRAGE and
co-registered to MRSI volume13. Gray-matter-dominant voxels (GM
ratio >= 0.6) were selected from the quantified metabolite maps for regional
and comparative analysis. Hippocampus volumetrics were also performed (Fig. 2). Wilcoxon
matched-pairs signed rank test was conducted to compare metabolic changes in
the ipsilateral and contralateral hippocampus.Results and Discussion
The multimodal and multiplexed molecular imaging capabilities
offered by our data are illustrated for a representative patient in Fig. 3.
Hippocampus sclerosis was identified by the hyperintensity in the FLAIR image. Metabolic
alterations, both in individual metabolite maps and ratios, can be observed in
the ipsilateral side (sclerosis/epileptic side), within a large region of
interest.
Metabolite levels and their ratios in the hippocampus
and its anterior and posterior subdivisions were compared between the
ipsilateral and contralateral sides across all patients (Fig. 4). Reduced
NAA/Cr ratios at the ipsilateral side can be observed, which is consistent with
previous findings6-10. Significantly reduced Glx/Cr in the
ipsilateral hippocampus was also observed, which was rarely captured in
previous studies, indicating neurotransmitter alterations related to epileptic
regions.
We also further stratify the patients based on severity
levels assessed by our collaborating epileptologist (based on EEG findings,
clinical MRI, and self-reported and clinical memory deficits). Differential
metabolite changes were found in the more severe cases (Fig. 5). These
observations need to be further validated after most patients are scanned and
analyzed. Conclusion
We demonstrated the feasibility of a multi-TE MRSI method optimized for simultaneous metabolite and neurotransmitter mapping in mTLE patients. Initial results from a small cohort show consistency with prior findings as well as interesting new observations. A more comprehensive analysis will be performed as more patients are recruited and scanned in this ongoing project.Acknowledgements
This work was supported in part by NSF-CBET 1944249 and
NIH-NIBIB R21EB029076.References
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