| Computer # |
| 3218.
 | 145 | Comparison of Spontaneous Brain Activity between Hippocampal Sclerosis and MRI-Negative Temporal Lobe Epilepsy Chengru Song1, Xiaonan Zhang1, Shaoqiang Han1, Keran Ma1, Xinyue Mao1, Mengzhu Wang2, Yong Zhang1, and Jingliang Cheng1
1MRI, the first affiliated hospital of zhengzhou university, zhengzhou, China, 2MR Research Collaboration, Siemens Healthineers, Beijing, China Keywords: Epilepsy, Epilepsy, fMRI Motivation: There has been controversy regarding the pathophysiological basis of MRI-negative temporal lobe epilepsy (TLE-N) and its similarities and differences relative to TLE with hippocampal sclerosis (TLE-HS). Goal(s): Static and dynamic abnormalities of spontaneous brain activity (SBA) in TLE-HS and TLE-N were examined. Approach: Six static SBA indicators and corresponding temporal dynamic indicators were calculated using a sliding window approach, then compared. Results: Patterns of change in SBA abnormalities were generally similar between TLE-HS and TLE-N groups; they were more pronounced in the TLE-HS group. VMHC in the hippocampus showed promise for differential diagnosis. Many indicators were correlated with cognition. Impact: The use of static and dynamic metrics can convey a more detailed and reliable description of abnormal neuronal activity, facilitating exploration of epileptic activity and cognitive impairment mechanism in MRI-negative temporal lobe epilepsy (TLE) and TLE with hippocampal sclerosis. |
| 3219.
 | 146 | The relationship of glutamate to glutamine and metabolic profiling in focal epilepsy using 7T CRT-FID-MRSI Stefanie Chambers1,2, Haniye Shayeste1,2, Philipp Lazen1,2, Matthias Tomschik1, Jonathan Wais1, Lukas Hingerl2, Bernhard Strasser2, Tatjana Traub-Weidinger3, Christoph Baumgartner4, Johannes Koren4, Katharina Moser5, Florian Mayer5, Martha Feucht5, Christian Dorfer1, Ekatarina Pataraia6, Lukas Haider7, Gregor Kasprian7, Wolfgang Bogner2,8, Siegfried Trattnig2,8, Karl Rössler1, and Gilbert Hangel1,2
1Department for Neurosurgery, Medical University of Vienna, Vienna, Austria, 2Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 3Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 4Department for Neurology, Medical Hospital Hietzing, Vienna, Austria, 5Center of rare and complex epilepsies, member of ERN EpiCARE, Department of Paediatrics, Medical University of Vienna, Vienna, Austria, 6Department for Neurology, Medical University of Vienna, Vienna, Austria, 7Division of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna, Vienna, Austria, 8Christian Doppler Laboratory for Clinical Molecular MR Imaging, Medical University of Vienna, Vienna, Austria Keywords: Spectroscopy, High-Field MRI Motivation: We want to explore the potential benefits that high-field MRSI can provide added value by allowing for higher spectral resolution of metabolites. Goal(s): Our goal was to test the robustness of 7T-CRT-FID-MRSI in the characterization of epilepsy, in particular with respect to glutamate and glutamine. Approach: We measured 42 patients with focal epilepsy using 7T-CRT-FID-MRSI. The obtained metabolites were normalized to ratios of NAA and tCr and concentration estimates of glutamate and glutamine were related to seizure frequency. Results: We could demonstrate that high-field MRSI shows high sensitivity in identifying epileptic zones as well as a correlation of glutamate/glutamine ratios to seizure frequency. Impact: 7T-CRT-FID MRSI shows high potential for identifying metabolic alterations in epilepsy. Additionally, due to higher spectral resolution, we could demonstrate a correlation of seizure frequency to the glutamate/glutamine ratio, potentially aiding in quantification of seizure burden in clinical practice. |
| 3220.
 | 147 | Mapping Cortical Fiber Orientations in Human Focal Cortical Dysplasias Using High-Resolution Diffusion MRI Erpeng Dai1, Qiyuan Tian2, Congyu Liao1, Babak Razavi3, Josef Parvizi3,4, Vivek P Buch4, Kawin Setsompop1,5, Michael Zeineh1, and Jennifer A McNab1
1Department of Radiology, Stanford University, Stanford, CA, United States, 2Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 3Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States, 4Departments of Neurosurgery, Stanford University School of Medicine, Stanford, CA, United States, 5Department of Electrical Engineering, Stanford University, Stanford, CA, United States Keywords: Epilepsy, Diffusion Tensor Imaging Motivation: Detecting focal cortical dysplasia (FCD) is critical for effective neurosurgical intervention but remains technically challenging. Recent MRI technical advancements may provide new opportunities for FCD detection. Goal(s): To determine the potential of high-resolution DTI to map cortical fiber orientation changes in FCD. Approach: High-resolution (1 mm isotropic) DTI data were acquired on six epilepsy patients with suspected FCD. A surface-based analysis workflow was built to assess the principal fiber orientations against the cortical surface. Results in FCD were compared to the contralateral homologous region. Results: All patients show differences in cortical fiber orientations between FCD and the contralateral presumed normal cortex. Impact: Our study documents that high-resolution diffusion MRI can detect cortical fiber orientation changes in human FCD in vivo, which can be a novel surrogate maker for FCD detection. |
| 3221.
 | 148 | Single-patient analysis of quantitative T1 values at 7T reveals global abnormalities in epilepsy Gian Franco Piredda1,2, Tom Hilbert1,3,4, Samuele Caneschi1, Gabriele Bonanno5,6,7, David Seiffge8, Martina Goeldlin8, Robert Hoepner8, Kaspar Schindler8, Serge Vulliemoz9, Margitta Seeck9, Veronica Ravano1,3,4, Bénédicte Maréchal1,3,4, Roland Wiest6,10, Tobias Kober1,3,4, and Piotr Radojewski6,10
1Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, 2CIBM Center for Biomedical Imaging, Geneva, Switzerland, 3Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 4LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 5Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Bern, Switzerland, 6Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland, 7Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland, 8Department of Neurology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland, 9EEG and Epilepsy Unit, Department of Clinical Neurosciences, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland, 10Support Center for Advanced Neuroimaging, Institute for Diagnostic and Interventional Neuroradiology, Inselspital, University of Bern, Bern, Switzerland Keywords: Epilepsy, Quantitative Imaging, ultra-high field, 7T MRI Motivation: While widespread structural changes in epilepsy have been previously reported, the global secondary effects on the brain are yet to be fully understood. Goal(s): To investigate the presence of global abnormalities in quantitative T1 values in drug-resistant epilepsy at a single-patient level. Approach: Seventy-eight epilepsy patients were studied using 7T MRI, and a previously established quantitative T1 brain atlas of healthy subjects was used to calculate T1 deviations in patients. Results: Frontal and temporal gray matter exhibited the largest T1 alterations, with significant correlations observed between T1 deviations and the patients’ disease duration. These findings suggest widespread microstructural disruptions in epilepsy patients. Impact: The observed
quantitative T1 changes reveal widespread microstructural disturbances in
epilepsy patients that extend beyond the seizure onset zone. The proposed
method may allow early diagnosis of previously undetectable microstructural
abnormalities along brain areas involved into seizure formation and propagation. |
| 3222.
 | 149 | Unsupervised MR2PET Synthesis Provides Pseudo-Normal Reference to Improve Epileptic Lesion Detection Jiwei Li1, Wentao Chen2, Hui Huang1, Siyu Yuan1, Xichen Xu3, Bingyang Cai1, Ya Cui1, Miao Zhang4, Weimin Zhou2,3, and Jie Luo1
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2University of Michigan-Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai, China, 3Global Institute of Future Technology, Shanghai Jiao Tong University, Shanghai, China, 4Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China Keywords: Epilepsy, PET/MR, Imaging Translation Motivation: It is challenging to obtain demographically matched controls for every patient who underwent FDG PET examinations. Goal(s): We aim to generate pseudo-normal PET for each epilepsy patient leveraging recent progress in cross modality image translation. Approach: We employed diffusion model to learn the translation between T1w-MRI and FDG PET of healthy subjects, then generated pseudo-normal PET for a cohort of 104 patients with focal epilepsy, who underwent PET/MR scanning for presurgical evaluation. Results: Unsupervised SynDiff achieved comparable performance as supervised Pix2pixGAN in PET synthesis. Improved DICE coefficient and lesion detection were achieved using synthesized reference compared with traditional group reference. Impact: Imaging translation provides a personalized pseudo-normal reference for each epilepsy patient. Pseudo-normal PET is poised for potential adoption as an auxiliary tool to enhance the capability of PET imaging in detecting epileptic lesions within clinical settings. |
| 3223.
 | 150 | Advanced relaxation-diffusion MRI improves lesion detection for sMRI-negative epilepsy Lipeng Ning1,2, Qiang Liu1,2, Yogesh Rathi1,2, and Ellen J. Bubrick1,2
1Brigham and Women's Hospital, Boston, MA, United States, 2Harvard Medical School, Boston, MA, United States Keywords: Epilepsy, Epilepsy, relaxometry, diffusion MRI Motivation: Structural MRI (sMRI) has limited sensitivity to detect lesions in about ⅓ of patients with epilepsy. There is a critical need for more sensitive imaging techniques for epilepsy imaging. Goal(s): The goal of this pilot study is to develop novel imaging techniques to improve the sensitivity for lesion detection for patients with sMRI-negative epilepsy. Approach: We acquired relaxation-diffusion MRI (rdMRI) using a fast sequence and examined novel parametric and nonparametric modeling techniques for lesion detection on a sMRI-negative patient. Results: The proposed rdMRI measures revealed a lesion in a sMRI-negative patient that is not shown using standard single-TE dMRI technique. Impact: The proposed rdMRI acqistion and modeling techniques can significantly improve lesion detections for patients with sMRI-negative epilepsy. Once validated using larger datasets, the rdMRI techniques can be applied for surgical planning for epilepsy patients without using invasive diagnosis techniques. |
| 3224.
 | 151 | Detection of Hippocampal Sclerosis in Epilepsy using GRAPPATINI T2-relaxometry David N Vaughan1,2, Eric Pierre1, Loren Lindenmayer1, Aaron Capon1, Chris Tailby1,3, David F Abbott1, Heath Pardoe1, and Graeme D Jackson1,2
1Florey Institute, Melbourne, Australia, 2Department of Neurology, Austin Health, Melbourne, Australia, 3Department of Neuropsychology, Austin Health, Melbourne, Australia Keywords: Epilepsy, Epilepsy, EEG, multi-echo Motivation: Detecting hippocampal sclerosis (HS) makes effective surgical treatment a possibility for people with drug-resistant epilepsy. However, use of conventional hippocampal T2 relaxometry has been hampered by long acquisition times and complex post-processing. Goal(s): To apply GRAPPATINI, an accelerated acquisition and T2 map reconstruction method, in the Australian Epilepsy Project for improved detection of HS. Approach: Prospective observational cohort study in 206 people with epilepsy and 69 controls. Results: GRAPPATINI hippocampal T2 values showed low variance in healthy controls, and marked increases with HS at the group-level. Inclusion in a binary classifier improved detection of HS over using volumetric data alone. Impact: Measurement of hippocampal T2 in people with epilepsy, using GRAPPATINI and automated processing, enables improved quantitative assessment of hippocampal sclerosis. This study demonstrates the feasibility and potential additive benefit of this method in a real-world clinical population. |
| 3225.
 | 152 | The altered brain activity in children with electrical status epilepticus during sleep: a preliminary study of resting-state fMRI Tong Mo1, Kan Deng2, Xiaoyu Wang1, Xiance Zhao3, Yijiang Zhuang1, Jieqiong Lin1, and Hongwu Zeng1
1Department of Radiology, Shenzhen Children’s Hospital, Shenzhen, China, 2Philips Healthcare, Guangzhou, China, 3Philips Healthcare, Shanghai, China Keywords: Epilepsy, fMRI (resting state) Motivation: The micro-structure alteration related to cognitive function impairment, and the mechanism of functional impairment in children withESES remains unclear. Goal(s): To investigate the brain activity in children with ESES, and the associations of the brain activity with cognitive performance. Approach: We observed the ReHo difference between the ESES group and the HCs. And the correlation analysis was used to explore the relationship between Reho values and cognitive test. Results: Compared with HCs, patients with ESES showed ReHo alteration in some brain regions. The correlation analysis revealed that increased ReHo in the right frontal gyrus was correlated with the decreased PRI. Impact: The distinct changes of spontaneous brain
activity were measured by ReHo, which may be further suggest that the potential
of RS-fMRI as a novel biomarker tool for identifying cognitive impairments on
neural aspect. |
| 3226.
 | 153 | Regional cortical thinning and aberrant cortical folding in sleep-related hypermotor epilepsy Huaxia Pu1, Xintong Wu2, Liping Wang1, Qiaoyue Tan1, Weina Wang3, Xinyue Wan4, Xiaorui Su1, Simin Zhang1, Qiang Yue5, and Qiyong Gong6,7
1Department of Radiology and Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China, 2Department of Neurology, West China Hospital of Sichuan University, Chengdu, China, 3Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China, 4Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China, 5Radiology, West China Hospital of Sichuan University, Chengdu, China, 6Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 7Radiology, West China Xiamen Hospital of Sichuan University, Xiamen, China Keywords: Epilepsy, Microstructure, Sleep-related hypermotor epilepsy, structural magnetic resonance imaging, surface-based morphometry, cortical thickness, sulcal depth Motivation: We aimed to investigate the neuromorphometric abnormalities and their relationship with clinical characteristics in patients with sleep-related hypermotor epilepsy (SHE) by structural MRI. Goal(s): This is the first study to explore cortical microstructural alterations using surface-based morphometry (SBM) analysis in SHE patients. Approach: SBM analysis was used to evaluate cortical thickness, fractal dimension, gyrification, and sulcal depth. Results: SHE patients exhibited decreased cortical thickness in the left inferior-parietal, right superior-parietal, bilateral lateral-occipital, left fusiform regions, and decreased sulcal depth in the right precentral and postcentral gyri compared to controls. The cortical thickness of left inferior-parietal region was negatively correlated with illness duration. Impact: These
findings demonstrate that aberrated thinning and folding of local
cerebral cortices existed in SHE and may be associated with clinical hypermotor
semiology. These cortical morphological variations might contribute to understand epilepsy network disturbances and
underlying neuropathologic mechanism of SHE. |
| 3227.
 | 154 | Personalized characterization of corpus-callosum pathology in mesial temporal lobe epilepsy using quantitative brain relaxation atlases Maria Celeste Bonacci1, Maria Eugenia Caligiuri1, Gian Franco Piredda2,3, Samuele Caneschi2, Ilaria Sammarra4, Ilaria Chimento1, Domenico Zacà5, Bénédicte Marechal2,6,7, Tom Hilbert2,6,7, Tobias Lober2,6,7, and Antonio Gambardella4
1Neuroscience Research Center, Department of Medical and Surgical Sciences, University Magna Graecia, Catanzaro, Italy, Catanzaro, Italy, 2Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, 3CIBM Center for Biomedical Imaging, Geneva, Switzerland, 4Institute of Neurology, Department of Medical and Surgical Sciences, University Magna Graecia, Catanzaro, Italy, Catanzaro, Italy, 5Siemens Healthcare srl, Milano, Italy, 6Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 7LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland Keywords: Epilepsy, Quantitative Imaging, T1 relaxometry, T2 relaxometry, corpus callosum Motivation: Investigate callosal integrity in mesial temporal lobe epilepsy (MTLE) using quantitative MRI. Goal(s): This study aims to investigate the distribution of quantitative T1 and T2 alterations in terms of z-scores in the midsagittal profile of the corpus callosum (CC) in patients with MTLE. Approach: MP2RAGE sequence for T1 relaxometry and GRAPPATINI for T2 relaxometry were acquired on 9 MTLE patients and the midsagittal distribution of z-scores was investigated. Results: Callosal alterations in MTLE were located in regions crossed by temporal and frontal fibers. Our findings support the hypothesis that MTLE-related pathophysiological changes extend beyond the temporal lobe and involve various cortical regions. Impact: This study provides first evidence of qMRI alterations in the corpus callosum of patients with temporal lobe epilepsy. Despite the focal nature of the syndrome, deviations from the norm included fibers connecting temporal and extratemporal cortices. |
| 3228.
 | 155 | Abnormal apparent diffusion coefficient of ultra-high b-values in the bilateral thalamus and striatum in MRI-negative refractory epilepsy Guixian Tang1, Wei Cui2, Xueying Ling1, Qiang Guo3, and Hao Xu1
1First Affiliated Hospital of Jinan University, Guangzhou, China, 2MR Research, GE Healthcare, Beijing, China, Guangzhou, China, 3Affiliated Brain Hospital of Jinan University, Guangzhou, China Keywords: Epilepsy, Diffusion/other diffusion imaging techniques Motivation: Subcortical nuclei such as the thalamus and striatum have been shown to be related to seizure modulation and termination, especially in refractory epilepsy. Goal(s): This study aimed to assess AQP4 function reflected by the apparent diffusion coefficient (ADC) from ultra-high b-values (ADCuh) in MRI-negative refractory epilepsy. Approach: The eDWI parameters such as standard ADC (ADCst), pure water diffusion (D) and ADCuh were calculated from the 15 b-values. Results: ADCuh values in the bilateral thalamus, caudate nucleus, putamen and globus pallidus in MRI-negative refractory epilepsy were significantly higher than those in the healthy control subjects. Impact: The
alterations of the ADCuh values in the bilateral thalamus and
striatum may reflect abnormal AQP4 function in MRI-negative refractory epilepsy.
ADCuh might be a useful measurement for evaluating subcortical
nuclei related brain damage in epilepsy patients. |
| 3229.
 | 156 | Machine Learning-Based Lateralization of Mesial Temporal Lobe Epilpepsy Using ASL MRI Hossein Rahimzadeh1, Mohammad-Reza Nazem-Zadeh2, Hadi Kamkar3, and Seyed Alireza Khanghahi3
1Department of Biomedical Engineering and Medical Physics, Shahid Beheshti University of Medical Sciences, Tehran, Iran (Islamic Republic of), 2Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of), 3Department of Biophysics, Faculty of Biological Sciences,, Tarbiat Modares University, Tehran, Iran (Islamic Republic of) Keywords: Epilepsy, Perfusion, ASL, CBF . mTLE, Machin learning Motivation: Utilizing perfusion features to differentiate left and right mesial temporal lobe epilepsy (mTLE) using machine learning. Goal(s): The study aims to assess ASL MRI's perfusion analysis ability to identify abnormalities in brain regions for distinguishing between mTLE cases and normal cohorts. Approach: Cerebral blood flow obtained features used by different machine learning classifiers to separate right and left mTLE form control cohort. Results: The utilization of CBF features proved valuable and effective in the machine learning-based classification of right and left mTLE data from the control cohort. Impact: This study's outcomes benefit medical professionals and
drug-resistant mTLE patients by expediting surgical assessments and enhancing
treatment outcomes through improved lateralization and epilepsy classification.
|
| 3230.
 | 157 | Investigating ASL-MRI as a Complementary Modality for 18F-FDG PET in Identifying Mesial Temporal Lobe Epilepsy Laterality in Grey Matter Mohammad-Reza Nazem-Zadeh1, Hossein Rahimzadeh 2, Hadi Kamkar 3, Narges Hoseini-Tabatabaei 4, Sohrab Hashemi-Fesharaki 5, and Jafar Mehvari Habibabadi 6
1Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of), 2Biomedical Engineering and Medical Physics, Shahid Beheshti University of Medical Sciences, Tehran, Iran (Islamic Republic of), 3Bioinformatics and Biophysics, Tarbiat Modares University, Tehran, Iran (Islamic Republic of), 4Medical School, Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of), 5Pars Advanced and Minimally Invasive Medical Manners Research Center, Pars Hospital, Iran University of Medical Sciences, Tehran, Iran (Islamic Republic of), 6Isfahan Neuroscience Research Center, Isfahan University of Medical Sciences, Isfahan, Iran (Islamic Republic of) Keywords: Epilepsy, Perfusion, ASL-MRI, 18F-FDG PET, Lateralization of TLE Motivation: Using non-invasive ASL-MRI as a substitute of 18F-FDG PET for identification of epileptogenic zone in mTLE patients Goal(s): This study aims to check if there is a correlation between the CBF of ASL-MRI and metabolic data from 18F-FDG PET. Approach: Brain division into 12 ROIs, including key areas like the amygdala and hippocampus, used BASIL and FSL tools for CBF and SUVr extraction. Used Pearson's and Spearman's rank correlation of SPSS for correlation analysis. Results: Significant CBF and SUVr correlations in middle temporal gyrus, hippocampus, and superior temporal found in mTLE patients. Impact: This study affects mTLE patients' accurate and rapid epileptogenic
foci location. |
| 3231.
 | 158 | Analysis of Temporal Lobe White Matter Volume in Patients With Hippocampal Sclerosis Based on Automatic Segmentation And its Application Value. Li Jin Qin1,2, Yan Meng Nan2, Song Deng yan2, Wang Zhuo2, Zhang Yan Ling1, Li Jian2, Chen Bing2, and Xiong Yu Hui3
1Clinical Medicine School of Ningxia Medical University, Yinchuan, China, 2Radiology, General Hospital of Ningxia Medical University, Yinchuan, China, 3GE HealthCare MR Research, Beijing, China Keywords: Epilepsy, Segmentation, Automatic Temporal Subregion Segmentation Motivation: Accurately identifying the range of white matter (WM) involved in epileptogenic lesions of temporal lobe epilepsy with hippocampal sclerosis (TLE-HS) is crucial prior to surgery. However, previous studies have been limited in their analysis of temporal lobe subregions due to technical constraints. Goal(s): Determine the extent of WM damage in TLE temporal lobe subregions to provide more imaging basis for preoperative evaluation and clinical surgical method selection. Approach: FreeSurfer software was used to perform whole-brain WM segmentation on 3D T1WI images. Results: There are differences in the extent of WM damage in temporal lobe subregions between with left TLE-HS and right TLE-HS. Impact: Automatic brain segmentation technology can be
utilized to assess the degree of white matter damage in the subregions of the
temporal lobe in patients with TLE-HS. Furthermore, this technology holds
potential for investigating various other brain disorders. |
| 3232.
 | 159 | Mapping Metabolite and Neurotransmitter Alterations in Mesial Temporal Lobe Epilepsy Using Optimized Multi-TE MRSI: A Preliminary Study 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 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. |
| 3233.
 | 160 | Brain metabolism in patients with Tuberous Sclerosis Complex Dillip K. Senapati1, Helge Zöllner1, İpek Özdemir1, Peter B Barker1, Ryan E Gill2, and Doris D.M. Lin1
1Radiology, JHU SOM, Baltimore, MD, United States, 2Neurology, Kennedy Krieger Institute, Baltimore, MD, United States Keywords: Epilepsy, Epilepsy Motivation: To better understand the underlying pathophysiology of brain lesions in patients with tuberous sclerosis complex (TSC). Goal(s): To apply both conventional and spectrally-edited MR spectroscopic imaging (MRSI) to patients with TSC, and to quantify metabolite levels in lesions and normal-appearing brain. Approach: Anatomical MRI and high-resolution MRSI was performed in 9 subjects with TSC at 3T. Spectra were quantified in lesions and normal appearing brain. Results: Lesion metabolite levels expressed relative to total creatine showed significant decreases in GABA+ , tNAA and tCho (p < 0.05) compared to normal-appearing white matter. The ratio of GABA+/Glx was also significantly lower in lesions (p = 0.03). Impact: These preliminary data in 9 subjects suggest that TSC lesions are characterized by neuronal loss or dysfunction, and possible neurotransmitter imbalance. Future work is required to relate these findings to neurological symptoms, including seizure frequency and cognitive impairment. |