Academic literature on the topic 'Epilepsy Magnetic Resonance Imaging'

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Journal articles on the topic "Epilepsy Magnetic Resonance Imaging"

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Jack, C. R. "Magnetic resonance imaging in epilepsy." Mayo Clinic Proceedings 71, no. 7 (July 1, 1996): 695–711. http://dx.doi.org/10.4065/71.7.695.

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Jack, Clifford R. "Magnetic Resonance Imaging in Epilepsy." Mayo Clinic Proceedings 71, no. 7 (July 1996): 695–711. http://dx.doi.org/10.1016/s0025-6196(11)63008-5.

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Grünewald, R. A., G. D. Jackson, and J. S. Duncan. "Magnetic resonance imaging in epilepsy." Lancet 340, no. 8822 (September 1992): 789. http://dx.doi.org/10.1016/0140-6736(92)92328-d.

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Pardoe, Heath, and Ruben Kuzniecky. "Advanced Magnetic Resonance Imaging in Epilepsy." US Neurology 10, no. 02 (2014): 104. http://dx.doi.org/10.17925/usn.2014.10.02.104.

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Magnetic resonance imaging (MRI) is the most commonly used noninvasive imaging modality for epilepsy diagnosis, etiologic classification, and management. The availability of 3T scanners and multiple channel coils mean isotropic T2-weighted MRI can also be readily obtained with a similar spatial resolution to T1w MRI. These acquisitions in combination with quantitative morphometric techniques can be used to detect subtle cortical and subcortical brain abnormalities associated with epilepsy. Functional MRI (fMRI) methods including electroencephalography (EEG)-fMRI and resting state imaging have been used to study network activity, such as language and memory in surgical candidates. Diffusion MRI can be used to map white matter pathways and provide an alternative structural view of connections between brain regions. These techniques will increase the yield of abnormalities in epilepsy patients previously considered nonlesional.
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Álvarez-Linera Prado, J. "Structural magnetic resonance imaging in epilepsy." Radiología (English Edition) 54, no. 1 (January 2012): 9–20. http://dx.doi.org/10.1016/j.rxeng.2011.07.001.

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Chuang, Nathaniel A., Hiroshi Otsubo, and Sylvester H. Chuang. "Magnetic Resonance Imaging in Pediatric Epilepsy." Topics in Magnetic Resonance Imaging 13, no. 1 (February 2002): 39–60. http://dx.doi.org/10.1097/00002142-200202000-00004.

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Deblaere, Karel, and Eric Achten. "Structural magnetic resonance imaging in epilepsy." European Radiology 18, no. 1 (September 25, 2007): 119–29. http://dx.doi.org/10.1007/s00330-007-0710-2.

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Castillo, Mauricio. "Magnetic Resonance in Epilepsy." Topics in Magnetic Resonance Imaging 7, no. 3 (1995): 196. http://dx.doi.org/10.1097/00002142-199500730-00007.

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Urbach, Horst. "High-Field Magnetic Resonance Imaging for Epilepsy." Neuroimaging Clinics of North America 22, no. 2 (May 2012): 173–89. http://dx.doi.org/10.1016/j.nic.2012.02.008.

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King, D., and G. H. Baltuch. "Magnetic resonance imaging and temporal lobe epilepsy." Acta Neurologica Scandinavica 98, no. 4 (October 1998): 217–23. http://dx.doi.org/10.1111/j.1600-0404.1998.tb07299.x.

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Dissertations / Theses on the topic "Epilepsy Magnetic Resonance Imaging"

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Wieshmann, Udo Carl. "New MR imaging techniques in epilepsy." Thesis, University College London (University of London), 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.313614.

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Alonazi, B. K. "A prospective advanced magnetic resonance imaging study of newly diagnosed epilepsy." Thesis, University of Liverpool, 2017. http://livrepository.liverpool.ac.uk/3008153/.

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According to the World Health Organization (WHO), approximately 50 million people in the world have active epilepsy. Epilepsy is the most common neurological disorder after migraine, stroke and Alzheimer’s disease. Epilepsy disorder affects men and women of all ages, races and social classes. There is an extensive neuroimaging literature describing patients with chronic epilepsy. However, few studies have investigated brain structural changes in patients with newly diagnosed epilepsy (NDE) using quantitative magnetic resonance imaging (MRI). The main goal of this thesis was to determine the nature and extent of brain structural and functional differences in patients with NDE using different MRI techniques compared with healthy controls. The first study was to determine the morphometric changes in patients with NDE compared to healthy controls using quantitative MRI analysis. The second study was to identify functional connectivity differences (in the whole brain and regions of interest) in patients with NDE and healthy controls using resting state functional magnetic resonance imaging (RS-fMRI). All study participants were recruited from the Walton Centre NHS Foundation Trust, Liverpool. All had been diagnosed with focal epilepsy by a consultant neurologist and recruited for MRI scanning within 12 months of diagnosis. Twenty-seven patients with NDE were recruited (14 male, 13 female, with mean age (M)=33.2) and 32 healthy matched controls (14 male, 18 female, M=33.07).Control and NDE study participants were matched for age, handedness and gender. All participants were scanned using a Siemens 3T Trio whole-body scanner (Siemens, Erlangen, Germany) with eight-channel radiofrequency (RF) head coil together with foam padding to comfortably restrict head motion at the Magnetic Resonance and Image Analysis Research Centre (MARIARC), University of Liverpool. Various MRI sequences were conducted including: 3D MPRAGE T1-weighted anatomical data, and RS-fMRI In the first study, shape, surface based, and voxel based morphometry analysis were applied, and the results suggested differences to the morphology of the brain stem and both the right and left thalami in patients with NDE. The independent component analysis of RS-fMRI showed abnormal different functional connectivity in visual and attention networks in patients with NDE relative to healthy controls while ROI-ROI demonstrated increased functional connectivity between the subcallosal cortex and both thalami in NDE patients. This is the first extensive programme of research to employ various analysis techniques and advanced MRI sequences to study structural and functional differences in patients with NDE compared to healthy controls. The results of this thesis show that structural and functional differences occur in both thalami in patients with NDE. These findings suggest that the thalamus plays a very important role in epilepsy pathophysiology. The results of this thesis offer further understanding regarding the role of structural and functional differences in NDE. They highlight the need for future quantitative MRI analysis studies of NDE to help patients avoid the chronic stage of the disorder and improve their quality of life.
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Centeno, Soladana Maria. "Magnetic resonance imaging in epilepsy. Functional and structural imaging in frontal lobe epilepsy and language study in bilingual patients." Doctoral thesis, Universitat Autònoma de Barcelona, 2016. http://hdl.handle.net/10803/386529.

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Gracias al desarrollo de las técnicas de neuroimagen en las últimas décadas se han conseguido avances importantes en el conocimiento de la epilepsia y sus mecanismos; descubriéndose cuestiones calves que han modificado conceptos clásicos y generado nuevas hipótesis en este campo. En los trabajos que componen esta tesis doctoral se utiliza como herramienta común la resonancia magnética para investigar varios aspectos que comprenden desde la función cognitiva a aspectos estructurales. En concreto se han empleado técnicas de resonancia magnética funcional y análisis cuantitativo de imagen estructural para responder a las hipótesis planteadas en los distintos trabajos que la conforman. La tesis comprende tres estudios: los dos primeros se centran en la epilepsia frontal y el tercero en mapeo de lenguaje pacientes bilingües con epilepsia. La epilepsia frontal (EF) es el segundo síndrome más prevalente dentro de las epilepsias focales, después de la epilepsia temporal. Sin embargo, debido a su complejidad como grupo, existen pocos estudios concluyentes a cerca de la función cognitiva en estos pacientes. Tampoco se conocen los cambios funcionales en las redes cognitivas que subyacen los déficits cognitivos en este grupo. Comprender estos aspectos contribuiría de manera importante a entender los déficits cognitivos en este grupo así como a comprender las alteraciones causadas por la cirugía. El primer trabajo de esta tesis estudia la memoria a largo plazo en pacientes con EF. Existen datos contradictorios sobre los déficits de memoria en pacientes con EF. Esta función ha sido poco explorada a pesar de la prevalencia de problemas de memoria en este grupo. Utilizando un paradigma de memoria en resonancia magnética funcional se caracterizaron los cambios funcionales secundarios a la epilepsia frontal y las alteraciones que se asocian al deterioro de esta función. En el segundo trabajo sobre epilepsia frontal se explora la presencia de cambios estructurales en sustancia gris en pacientes con EF. A diferencia de los pacientes con epilepsia temporal, en este grupo no existen estudios que exploren de manera cuantitativa cambios comunes en la estructura de la sustancia gris. Para ello se han empleado técnicas cuantitativa voxel por voxel que son altamente sensibles a cambios no identificables con inspección visual. La resonancia funcional (RMf) de lenguaje se ha integrado como parte importante de los estudios pre quirúrgicos en epilepsia. Esta necesidad se ve justificada por la alta incidencia de lateralización atípica del lenguaje en este grupo de pacientes. Este test se ha validado clínicamente en su mayoría utilizando la lengua nativa de los sujetos. Cuando el test se realiza en una segunda lengua como es el caso de población inmigrante se plantea la cuestión de la validez del test. Aunque existen un gran número de estudios de bilingüismo utilizando RMf, estos se han centrado en la búsqueda de diferencias en redes neuronales de las diferentes lenguas y no en el análisis de la validez clínica de estos mapas. En el tercer trabajo de la tesis se investiga las diferencias en los mapas de lenguajes obtenidos con RMf cuando se utiliza la lengua materna y cuando se utiliza una lengua secundaria. Con este estudio pretendemos evaluar la validez clínica de realizar mapeo de lenguaje con resonancia en una lengua secundaria.
Imaging techniques have led to the discovery of key questions in the field of epileptology. In this thesis, functional and structural aspects of focal epilepsies are investigated through magnetic resonance imaging (MRI). In particular, functional MRI and voxel wise analysis are used as the tool to test the hypothesis posed in the different studies that conform this thesis. The thesis is divided into three studies; two of them focus on frontal lobe epilepsy and the third one on language mapping of bilingual patients with epilepsy. Frontal lobe epilepsy is the second most prevalent syndrome among the focal epilepsies after temporal lobe epilepsy. However, it has proved challenging to characterize cognitive dysfunction within this group. Furthermore, the functional anatomy correlates of dysfunction in FLE is still unknown. Understanding these changes may help to characterize better the cognitive profile of this group. It may also improve the understanding of the changes in cognitive function as the result of surgery. In particular one of the studies focuses in memory function in patients with FLE. This cognitive aspect has received little attention in this group of patients. However, there is a significant prevalence of memory deficits in patients with Frontal lobe epilepsy. Using functional MRI (fMRI) I investigated long term memory in patients with FLE in order to characterize the functional anatomy that underlies memory dysfunction in this group of patients. The second study on FLE explores the structural changes in this syndrome. It uses voxel wise quantitative MRI techniques to identify common structural changes across this heterogeneous group. Language fMRI is widely used as part of the pre-surgical investigations of patients with drug resistant epilepsy. This is justified given the high prevalence of atypical language dominance in patients with epilepsy. The clinical validation of these tests have been performed using the subject’s native language. However this is a problem when the evaluated subject has to perform the test in a secondary language as it is the case of immigrant population. Although there is a large number of fMRI studies in bilingualism, these mainly focus in the differences in language networks between the different languages in bilinguals. The third study in this thesis investigates the differences in the language networks that support native and learned languages in bilingual patients with epilepsy and asses the clinical validity of mapping language using language paradigms in a subject’s first and second languages.
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Tierney, T. M. "Development and application of functional magnetic resonance imaging in paediatric focal epilepsy." Thesis, University College London (University of London), 2017. http://discovery.ucl.ac.uk/1545153/.

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There are two major applications of fMRI in paediatric focal epilepsy. The first is mapping of eloquent cortex. The second is the use of simultaneous EEG-fMRI to map the epileptogenic zone. The main methodological issues faced by these fMRI applications are: motion, physiological noise, quality assurance, and statistical analysis. To address the issues of subject motion and physiological noise we constructed a simple analytical biophysical model of Blood Oxygenation Level Dependent (BOLD) signal capable of identifying and correcting these artefacts (named FIACH). This model was validated in a sample of children performing a language task with high motion levels. FIACH outperformed 6 other competitive methods of noise control. In the second study, we characterized how metrics of quality assurance could predict the clinical utility of EEG-fMRI. We also quantified the impact of a natural stimulus (a cartoon) on reducing subject motion. During this analysis it was noted that the corrections for multiple comparisons employed using Random Field Theory (RFT) at an individual level were overly conservative. This led to an exploration of RFT sensitivity and its relationship to image smoothing and degrees of freedom. By reviewing over 150 papers published in 2016 it was possible to estimate that 80% of studies suffer from a similar loss in sensitivity. Simulations are provided to help identify and prevent this loss in sensitivity. In the final study we sought to use EEG-fMRI to characterize the relationship between the brain’s functional organization and Interictal Epileptiform Discharges (IEDs) in paediatric focal epilepsy. Interestingly, we identified increasing connectivity of the piriform cortex and caudate to the default mode network as a function of IEDs. This suggested a mechanism by which IEDs may propagate through functional networks in the brain.
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Ciumas, Carolina. "Multimethodological brain imaging studies of human epilepsy /." Stockholm, 2007. http://diss.kib.ki.se/2007/978-91-7357-268-2/.

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Vestal, Matthew Lepore. "Ictal Functional Neuroimaging of Childhood Absence Epilepsy." Yale University, 2010. http://ymtdl.med.yale.edu/theses/available/etd-05232010-232028/.

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Absence seizures in Childhood Absence Epilepsy (CAE) are 5 10 second episodes of impaired consciousness that are characterized on electroencephalography (EEG) by frontally-predominant, 3 4 Hz spike and wave discharges (SWD). The aims of this study were to use simultaneous EEG, functional magnetic resonance imaging (fMRI), and behavioral testing to identify the neural networks involved in absence seizures as well as to examine the timecourse of those ictal fMRI changes. It was hypothesized that absence seizures involve wide-reaching neural networks including the areas traditionally associated with normal attention processing and that absence seizures produce fMRI signal changes not only during the seizure, but before and after it as well. In this study, we recorded 88 absence seizures from a cohort of 42 children with pure CAE. These seizures were recorded as subjects participated in simultaneous EEG-fMRI scanning while engaged in a continuous performance task (CPT) of attentional vigilance or a repetitive tapping task (RTT) requiring repetitive motor activity. Using a novel, voxel-based percent fMRI change analysis combined with a volume of interest analysis, the second-by-second fMRI signal timecourse of the absence seizures were examined across numerous brain regions of interest, from 20 seconds before seizure onset through 40 seconds after seizure onset. EEG frequency analysis revealed seizures with a mean duration of 6.6 seconds and an abrupt onset and ending that were comprised of frontally-predominant, 3 4 Hz SWD. Ictal behavioral testing demonstrated abrupt onset of impairments during periods of SWD. These behavioral impairments were typical of CAE absence seizures in that impairments were greater in the CPT of attentional vigilance (omission error rate, OER = 81%) than in RTT testing (OER = 39 %) (p < 0.003). The ictal fMRI changes we observed varied depending upon the method of fMRI signal analysis used. Using the traditional general liner model, and assuming the standard hemodynamic response (HRF) function, this study replicated results consistent with previous ictal absence fMRI studies showing ictal activations primarily in the thalamus and ictal deactivations in traditional default mode areas. Using a more data-driven, novel voxel-based fMRI percentage change analysis to examine the ictal fMRI timecourse on a second-by-second basis, both ictally as well as pre- and post- ictally, this study, however, demonstrated ictal involvement of diverse brain regions before, during, and after the seizure. Activation was demonstrated up to 16 seconds before seizure onset, starting first in the parietal and orbital-medial frontal cortices and progressing to lateral frontal and lateral temporal cortices followed by the occipital and Rolandic cortices and finally the thalamus. Deactivation followed a similar anatomic progression and lasted up to 17 seconds after the end of SWD. These findings reveal a complex and long-lasting sequence of fMRI changes in CAE absence seizures that are not detectable by conventional HRF modeling and are important in the understanding and eventual treatment of absence seizures associated with CAE.
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Kreilkamp, Barbara A. K. "Advanced magnetic resonance imaging and quantitative analysis approaches in patients with refractory focal epilepsy." Thesis, University of Liverpool, 2017. http://livrepository.liverpool.ac.uk/3017303/.

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Background Epilepsy has a high prevalence of 1%, which makes it the most common serious neurological disorder. The most difficult to treat type of epilepsy is temporal lobe epilepsy (TLE) with its most commonly associated lesion being hippocampal sclerosis (HS). About 30-50% of all patients undergoing resective surgery of epileptogenic tissue continue to have seizures postoperatively. Indication for this type of surgery is only given when lesions are clearly visible on magnetic resonance images (MRI). About 30% of all patients with focal epilepsy do not show an underlying structural lesion upon qualitative neuroradiological MRI assessment (MRI-negative). Objectives The work presented in this thesis uses MRI data to quantitatively investigate structural differences between brains of patients with focal epilepsy and healthy controls using automated imaging preprocessing and analysis methods. Methods All patients studied in this thesis had electrophysiological evidence of focal epilepsy, and underwent routine clinical MRI prior to participation in this study. There were two datasets and both included a cohort of age-matched controls: (i) Patients with TLE and associated HS who later underwent selective amygdalahippocampectomy (cohort 1) and (ii) MRI-negative patients with medically refractory focal epilepsy (cohort 2). The participants received high- resolution routine clinical MRI as well as additional sequences for gray and white matter (GM/WM) structural imaging. A neuroradiologist reviewed all images prior to analysis. Hippocampal subfield volume and automated tractography analysis was performed in patients with TLE and HS and related to post-surgical outcomes, while images of MRI- negative patients were analyzed using voxel-based morphometry (VBM) and manual/automated tractography. All studies were designed to detect quantitative differences between patients and controls, except for the hippocampal subfield analysis as control data was not available and comparisons were limited to patients with persistent postoperative seizures and those without. Results 1. Automated hippocampal subfield analysis (cohort 1): The high-resolution hippocampal subfield segmentation technique cannot establish a link between hippocampal subfield volume loss and post-surgical outcome. Ipsilateral and contralateral hippocampal subfield volumes did not correlate with clinical variables such as duration of epilepsy and age of onset of epilepsy. 2. Automated WM diffusivity analysis (cohort 1): Along-the-tract analysis showed that ipsilateral tracts of patients with right/left TLE and HS were more extensively affected than contralateral tracts and the affected regions within tracts could be specified. The extent of hippocampal atrophy (HA) was not related to (i) the diffusion alterations of temporal lobe tracts or (ii) clinical characteristics of patients, whereas diffusion alterations of ipsilateral temporal lobe tracts were significantly related to age at onset of epilepsy, duration of epilepsy and epilepsy burden. Patients without any postoperative seizure symptoms (excellent outcomes) had more ipsilaterally distributed WM tract diffusion alterations than patients with persistent postoperative seizures (poorer outcomes), who were affected bilaterally. 3. Automated epileptogenic lesion detection (cohort 2): Comparison of individual patients against the controls revealed that focal cortical dysplasia (FCD) can be detected automatically using statistical thresholds. All sites of dysplasia reported at the start of the study were detected using this technique. Two additional sites in two different patients, which had previously escaped neuroradiological assessment, could be identified. When taking these statistical results into account during re-assessment of the dedicated epilepsy research MRI, the expert neuroradiologist was able to confirm these as lesions. 4. Manual and automated WM diffusion tensor imaging (DTI) analysis (cohort 2): The analysis of consistency across approaches revealed a moderate to good agreement between extracted tract shape, morphology and space and a strong correlation between diffusion values extracted with both methods. While whole-tract DTI-metrics determined using Automated Fiber Quantification (AFQ) revealed correlations with clinical variables such as age of onset and duration of epilepsy, these correlations were not found using the manual technique. The manual approach revealed more differences than AFQ in group comparisons of whole-tract DTI-metrics. Along-the-tract analysis provided within AFQ gave a more detailed description of localized diffusivity changes along tracts, which correlated with clinical variables such as age of onset and epilepsy duration. Conclusions While hippocampal subfield volume loss in patients with TLE and HS was not related with any clinical variables or to post-surgical outcomes, WM tract diffusion alterations were more bilaterally distributed in patients with persistent postoperative seizures, compared to patients with excellent outcomes. This may indicate that HS as an initial precipitating injury is not affected by clinical features of the disorder and automated hippocampal subfield mapping based on MRI is not sufficient to stratify patients according to outcome. Presence of persisting seizures may depend on other pathological processes such as seizure propagation through WM tracts and WM integrity. Automated and time-efficient three-dimensional voxel-based analysis may complement conventional visual assessments in patients with MRI-negative focal epilepsy and help to identify FCDs escaping routine neuroradiological assessment. Furthermore, automated along-the-tract analysis may identify widespread abnormal diffusivity and correlations between WM integrity loss and clinical variables in patients with MRI-negative epilepsy. However, automated WM tract analysis may differ from results obtained with manual methods and therefore caution should be exercised when using automated techniques.
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Webb, Jocasta Anne. "Magnetic resonance image analysis techniques for quantification of hippocampal integrity in temporal lobe epilepsy." Thesis, University of Liverpool, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.367210.

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Li, Xiao, and 李瀟. "Feasibility of T1rho imaging in lateralization of the epileptogenic zones in patients with mesial temporal lobe epilepsy : comparisons with MR volumetry and T2 relaxometry." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/197080.

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Underling neuronal loss and subsequent hippocampal sclerosis, as reflected by hippocampal atrophy on structural magnetic resonance (MR) imaging, are the dominant findings in the patient with mesial temporal lobe epilepsy (MTLE). Yet, prolongation of T2 relaxation time has also been reported as an early marker for MTLE, but it is a rather insensitive marker. Typical age-related atrophy often constitutes a significant confounding factor, and atrophy often represents a late sign in hippocampal sclerosis. In this connection, there is an urge for a sensitive independent predictor for the early detection of MTLE. T1rho MR imaging provides a distinct contrast mechanism in tissue characteristics. It is sensitive to physio-chemical processes and has been tested successfully in Alzheimer’s disease, Parkinson’s disease and certain brain tumors. Therefore, it is possible to depict early biochemical change in patients with MTLE by means of measuring the changes in T1rho relaxation time. T1rho relaxation time is not affected by age-related atrophic changes and thus can be used as an independent marker. In this preliminary study, we aimed to assess the feasibility of T2 relaxometry and T1rho MR imaging in identification of the atrophied zones in patients with MTLE. Seven patients with unilateral MTLE and fourteen normal subjects were recruited. Three-dimensional T1-weighted imaging, axial T2 relaxometry and T1rho imaging were performed on a 3T MR scanner. Hippocampal head, hippocampal body, hippocampal tail and amygdala were contoured on the axial T2-weighted images and then co-registered onto T2 relaxometry and T1rho images. A combination of visual and quantitative volumetric assessment was used as the primary end outcome. For T2 relaxometry and T1rho imaging, their respective relaxation times together with the corresponding right-left asymmetric ratios were calculated for subsequent analysis. Abnormal right-left asymmetric ratio is defined as a deviation of 2SD from the mean of the Z-score. In the lateralizing epileptogenic zones, T1rho yielded an overall accuracy of 92.9% (sensitivity 100%, specificity 60%), while T2 relaxometry yielded an overall accuracy of 71.4% (sensitivity 65.2%, specificity 100%) only. T1rho imaging is thus superior to T2 relaxometry (P = 0.036, by chi-square test). To conclude, the present study indicated that T1rho is feasible and potentially useful to serve as a non-invasive imaging tool in the detection of lateralization of the epileptogenic zone in patients with MTLE. It can also facilitate prompt diagnosis and longitudinal disease monitoring. In addition, the generation of associated color-coded parametric map can provide an easy mean for direct visual analysis.
published_or_final_version
Diagnostic Radiology
Master
Master of Philosophy
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Collin, Greize 1983. "Estudo da associação entre atrofia de estruturas limbicas, depressão e epilepsia de lobo temporal mesial." [s.n.], 2012. http://repositorio.unicamp.br/jspui/handle/REPOSIP/309283.

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Orientador: Fernando Cendes
Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Ciências Médicas
Made available in DSpace on 2018-08-19T22:39:04Z (GMT). No. of bitstreams: 1 Collin_Greize_M.pdf: 5813301 bytes, checksum: cca632f33b2c0f7db3ef862ea7b00df4 (MD5) Previous issue date: 2012
Resumo: A depressão tem sido um dos transtornos mentais mais comumente relatados em associação com ELTM, com uma prevalência estimada de 20 a 55%, contra 9% na população em geral, e os aspectos que interagem na associação das epilepsias e da depressão são ainda hoje muito fragmentados, fazendo com que a fisiopatologia da depressão nas epilepsias ainda não esteja inteiramente esclarecida. Sendo assim, o objetivo deste trabalhou foi investigar a associação das alterações volumétricas das amígdalas, hipocampos e tálamos em pacientes com ELTM e depressão, e também correlacionar os dados volumétricos obtidos com os dados clínicos de cada paciente, como frequência de crises e intensidade de sintomas depressivos mensurados através do BDI. Para isso, foram adquiridas imagens de RM em 4 grupos de 20 indivíduos cada: Grupo ED: pacientes com ELTM e depressão; Grupo E: pacientes com ELTM; Grupo D: pacientes com depressão e o Grupo C: controles saudáveis. A segmentação das Amígdalas, Hipocampos e Tálamos foram realizadas através do software DISPLAY, de acordo com protocolos específicos para cada estrutura. Também avaliamos o Índice de Assimetria (IA), que é a razão entre o volume do menor/maior lado apresentado por cada estrutura. O diagnóstico para o transtorno depressivo foi realizado através de avaliação neuropsicológica de acordo com os critérios do DSM-IV aplicando a SCID-I. O Inventário para Depressão de Beck (BDI) foi utilizado para mensurar a intensidade dos sintomas depressivos. Para a análise estatística, foi utilizado o programa SYSTAT 9®, com os testes de ANOVA, Teste-t de Student e correlação de Spearman. Foram incluídas neste estudo 80 mulheres com idade média ± desvio padrão 40±9,4 anos. Comparamos as médias dos volumes absolutos corrigidos da AD (t=5,552, p=0,002) e AE (t=14,571, p<0,0001) entre os grupos, e observamos que os grupos C e E apresentaram diferença significativa em relação à AD (p=0,004) e AE (p<0,0001). Já nos grupos D e E, houve diferença significativa apenas na AE (p<0,0001). Nos grupos E e ED, encontramos diferença significativa em relação a AD (p=0,004) e AE (p<0,0001). Não houve diferença significativa em relação à média dos volumes corrigidos do HD (F= 0,461, p=0,711) e HE (F=2,329, p=0,081) e dos TD (F=0,786, p=0,505) e TE (F=0,492, p=0,689) entre os grupos. Em relação aos IAH (t=9,793, p<0,0001), somente os grupos C e E (p=0,001), C e ED (p=0,001), D e E (p=0,004) e D e ED (p=0,003) revelaram assimetria significativa. Em relação ao IAT (t=2,483, p=0,067) encontramos assimetria significativa somente entre os grupos E e ED (p=0,039). Não houve diferença significativa referente ao IAA entre os grupos. Observamos correlação positiva entre frequência de crises e escore do BDI (rs=0,481), em que a média da frequência mensal de crises foi maior para o grupo com ELTM associada à depressão (7,45±8,28) do que para o grupo somente com ELTM (3,05±2,85), havendo uma diferença significativa entre os grupos (t=-2,245, p=0,031). Nós concluímos que não houve relação significativa entre o grau de atrofia das estruturas límbicas e a presença de transtorno de humor em pacientes com ELTM. Entretanto, nossos resultados indicaram que a frequência de crises está relacionada à gravidade dos sintomas depressivos nos pacientes com ELTM
Abstract: Depression has been one of the most commonly related mental disorders associated with MTLE, reaching approximately 20% to 55% of the cases, whereas its prevalence is 9% in the general population. Since the aspects that interact in the association MTLE-depression are still quite fragmented, the physiopathology of depression in MTLE is not fully understood. This study has the aim of investigating the association of volumetric differences of amygdala, hippocampus and thalamus in MTLE and depressed patients, as well as correlating these with each patient's clinical data (such as seizure frequency and intensity of depressive symptoms). Magnetic Resonance images were acquired in 4 groups of 20 patients each: group ED - patients with MTLE and depression; group E - patients with MTLE; group D - patients with depression; and group C - healthy controls. The segmentation of amygdala, hippocampus and thalamus was performed using DISPLAY software, according to protocols validated by our group. We evaluated the asymmetry index (AI), which represents the ratio between the smallest and the largest side of each structure. The diagnosis for depressive disorder was performed in accordance with DSM-IV criteria obtained through the SCID-I applied by a trained professional. To measure the intensity of depressive symptoms we used Beck Depression Inventory (BDI), and SYSTAT 9®, ANOVA, Student's t-test and Spearman correlation for statistical analysis. 80 women with mean age of 40 years (SD=9.4) were analyzed. We compared the mean absolute volumes of RA (t=5.552, p=0.002) and LA (t=14.571, p<0.0001) between groups, and observed there was a significant difference between groups C and E related to RA (p=0.004) and LA (p<0.0001). Regarding groups D and E, there was a significant difference only in AE (p<0.0001), and groups E and ED in AD (p=0.004) and AE (p<0.0001). There was neither significant difference between RH (F= 0.461, p=0.711) and LH (F=2.329, p=0.081) mean volumes nor RT (F=0.786, p=0.505) and LT (F=0.492, p=0.689) between groups. In relation to HAI (t=9.793, p<0.0001), only the groups C and E (p=0.001), C and ED (p=0.001), D and E (p=0.004) and D and ED (p=0.003) presented a significant asymmetry. Concerning TAI (t=2.483, p=0.067), we found significant difference only between groups E and ED (p=0.039) and we did not find difference of AAI between any groups. We observed a positive correlation between BDI scores and seizure frequency (rs=0.481), in which the average monthly seizure frequency was higher (t=-2.245, p=0.031) for the ED group (7.45±2.85) than E group (3.05±2.85). It is concluded that there was no significant relationship between the degree of atrophy of limbic structures and the presence of mood disorder in patients with MTLE. However, our results indicate that seizure frequency is related to severity of depressive symptoms in patients with MTLE
Mestrado
Fisiopatologia Médica
Mestre em Ciências
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Books on the topic "Epilepsy Magnetic Resonance Imaging"

1

D, Jackson Graeme, ed. Magnetic resonance in epilepsy. New York: Raven Press, 1995.

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NATO, Advanced Research Workshop on Advanced Magnetic Resonance and Epilepsy (1992 ChalfontSt Peter England). Magnetic resonance scanning and epilepsy. New York: Plenum Press, 1994.

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D, Jackson Graeme, ed. Magnetic resonance in epilepsy: Neuroimaging techniques. 2nd ed. Amsterdam: Elsevier Academic Press, 2005.

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Shorvon, S. D. Magnetic Resonance Scanning and Epilepsy. Boston, MA: Springer US, 1994.

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Sigal, Robert, D. Doyon, Ph Halimi, and H. Atlan. Magnetic Resonance Imaging. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-73037-5.

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Brown, Robert W., Yu-Chung N. Cheng, E. Mark Haacke, Michael R. Thompson, and Ramesh Venkatesan, eds. Magnetic Resonance Imaging. Chichester, UK: John Wiley & Sons Ltd, 2014. http://dx.doi.org/10.1002/9781118633953.

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Vlaardingerbroek, Marinus T., and Jacques A. den Boer. Magnetic Resonance Imaging. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-662-03800-0.

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Vlaardingerbroek, Marinus T., and Jacques A. den Boer. Magnetic Resonance Imaging. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05252-5.

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Vlaardingerbroek, Marinus T., and Jacques A. den Boer. Magnetic Resonance Imaging. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-662-03258-9.

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Zuurbier, Ria, Johan Nahuis, Sija Geers-van Gemeren, José Dol-Jansen, and Tom Dam, eds. Magnetic Resonance Imaging. Houten: Bohn Stafleu van Loghum, 2017. http://dx.doi.org/10.1007/978-90-368-1934-3.

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Book chapters on the topic "Epilepsy Magnetic Resonance Imaging"

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Jones-Gotman, M. "Volumetric Magnetic Resonance Imaging." In Magnetic Resonance Scanning and Epilepsy, 165–68. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2546-2_29.

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Oguz, Kader K. "Magnetic Resonance Imaging in Epilepsy." In Pediatric Epilepsy Surgery, 61–83. Vienna: Springer Vienna, 2012. http://dx.doi.org/10.1007/978-3-7091-1360-8_3.

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Shorvon, S. D. "Magnetic Resonance Imaging in Epilepsy." In Magnetic Resonance Scanning and Epilepsy, 3–13. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2546-2_1.

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Hajnal, J. V., and G. M. Bydder. "MR Imaging of Diffusion." In Magnetic Resonance Scanning and Epilepsy, 281–85. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2546-2_50.

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Bowtell, R., R. J. Coxon, J. Firth, P. A. Gowland, P. Gibbs, and P. Mansfield. "Fast Imaging and Serial Scanning." In Magnetic Resonance Scanning and Epilepsy, 287–90. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2546-2_51.

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Berkovic, S. F., A. M. McIntosh, R. M. Kalnins, and P. F. Bladin. "Magnetic Resonance Imaging of Hippocampal Sclerosis." In Magnetic Resonance Scanning and Epilepsy, 37–41. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2546-2_6.

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Schüler, P., and H. Stefan. "The Future Role for MR Imaging in Epilepsy." In Magnetic Resonance Scanning and Epilepsy, 63–66. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2546-2_10.

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Huk, W. J. "Temporal Lobe Epilepsy." In Magnetic Resonance Imaging of Central Nervous System Diseases, 225–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-72568-5_9.

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Duncan, J. S., G. D. Jackson, A. Connelly, R. A. Grünewald, N. E. Preece, N. Van Bruggen, and S. R. Williams. "Investigation of Effects of Vigabatrin with Magnetic Resonance Imaging and Spectroscopy in Vivo." In Magnetic Resonance Scanning and Epilepsy, 75–78. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2546-2_13.

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Cendes, F., F. Andermann, and D. L. Arnold. "Proton MR Spectroscopic Imaging in The Investigation of Patients with Temporal Lobe Epilepsy." In Magnetic Resonance Scanning and Epilepsy, 203–7. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2546-2_37.

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Conference papers on the topic "Epilepsy Magnetic Resonance Imaging"

1

Kohan, Zohreh, and Reza Azmi. "Hippocampus shape analysis for temporal lobe epilepsy detection in magnetic resonance imaging." In SPIE Medical Imaging, edited by Barjor Gimi and Andrzej Krol. SPIE, 2016. http://dx.doi.org/10.1117/12.2216936.

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Simozo, Fabricio, Marcos Oliveira, and Luiz Murta-Junior. "Brain Tissue Classification to Detect Focal Cortical Dysplasia in Magnetic Resonance Imaging." In Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/eniac.2020.12164.

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Focal cortical dysplasia (FCD) is a local malformation of the cortex, the main cause of refractory epilepsy in childhood and one of the most common causes in adults. The surgery decision and planning depend on the FCD localization. Although recent studies have successfully detected FCD through artificial intelligence, no study investigates the relevance and prevalence of cortical features on FCD identification and the performance of different machine learning techniques. In this study, the proposed method constructed a voxel-based set of features, e.g., texture measure, border definition, cortical thickness.
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Weiner, Michael W., Andrew A. Maudsley, Norbert Schuff, Brian J. Soher, Peter P. Vermathen, George Fein, and Kenneth D. Laxer. "Multislice 1H magnetic resonance spectroscopic imaging: assessment of epilepsy, Alzheimer's disease, and amyotrophic lateral sclerosis." In Medical Imaging '98, edited by Eric A. Hoffman. SPIE, 1998. http://dx.doi.org/10.1117/12.312565.

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Kohan, Zohreh, Reza Azmi, and Behrouz Gholizadeh. "Detection of temporal lobe epilepsy in magnetic resonance imaging using SPHARM-based shape analysis of hippocampus." In 2015 9th Iranian Conference on Machine Vision and Image Processing (MVIP). IEEE, 2015. http://dx.doi.org/10.1109/iranianmvip.2015.7397535.

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Kim, Jung Hwan, Garrett Astary, Svetlana Kantorovich, Thomas H. Mareci, Paul R. Carney, and Malisa Sarntinoranont. "Voxelized 3D Computational Transport Model of Infusions Into the Ventral Hippocampus: Comparison With Experimental Studies." In ASME 2011 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2011. http://dx.doi.org/10.1115/sbc2011-53444.

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Convection enhanced delivery (CED) is a promising local delivery technique for overcoming the blood brain barrier (BBB) and treating diseases of the central nervous system (CNS). For CED, infusate is infused directly into brain tissue and the drug agent is spread through the extracellular space, which is considered highly tortuous porous media. Previous studies have indicated that the infusion of therapeutic agents into the hippocampus is a potential treatment method for epilepsy [1]. In this study, a 3D interstitial transport modeling approach is presented in which tissue properties and anatomical boundaries are assigned on a voxel-by-voxel basis using tissue alignment data from magnetic resonance (MR) diffusion tensor imaging (DTI). The developed model was used to predict CED transport in the ventral hippocampus and predicted tracer distributions were compared with experimental studies. In rat CED experiments, T1-weighted contrast-enhanced MR images were acquired to measure Gd-DTPA albumin tracer distributions after infusion into the ventral hippocampus. Similar infusate distribution patterns were obtained demonstrating the reliability and repeatability of this modeling scheme. Qualitative comparisons between predicted and measured distribution patterns, volumes and shapes were also conducted to determine the model’s proficiency.
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Hengerer, A. "Molecular Magnetic Resonance Imaging." In 2nd International University of Malaya Research Imaging Symposium (UMRIS) 2005: Fundamentals of Molecular Imaging. Kuala Lumpur, Malaysia: Department of Biomedical Imaging, University of Malaya, 2005. http://dx.doi.org/10.2349/biij.1.1.e7-53.

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Fullerton, Ph.D., Gary D. "Imaging with magnetic resonance." In The fourth mexican symposium on medical physics. AIP, 2000. http://dx.doi.org/10.1063/1.1328942.

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Mishra, Rakesh Kumar, N. Mariyappa, Sanjib Sinha, A. Arivazhagan, and Malla Bhaskara Rao. "Magnetic Source Imaging of Eloquent Cortex: Novel Findings and Implications." In 20th Joint Annual Conference of Indian Epilepsy Society and Indian Epilepsy Association. Thieme Medical and Scientific Publishers Private Ltd., 2018. http://dx.doi.org/10.1055/s-0039-1694889.

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Bajo, A., M. J. Ledesma-Carbayo, C. Santa Marta, E. Perez David, M. A. Garcia-Fernandez, M. Desco, and A. Santos. "Cardiac motion analysis from magnetic resonance imaging: Cine magnetic resonance versus tagged magnetic resonance." In 2007 34th Annual Computers in Cardiology Conference. IEEE, 2007. http://dx.doi.org/10.1109/cic.2007.4745426.

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Soumekh, Mehrdad. "Spatiotemporal spiral magnetic resonance imaging." In Medical Imaging '99, edited by John M. Boone and James T. Dobbins III. SPIE, 1999. http://dx.doi.org/10.1117/12.349564.

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Reports on the topic "Epilepsy Magnetic Resonance Imaging"

1

Schweizer, M. Developments in boron magnetic resonance imaging (MRI). Office of Scientific and Technical Information (OSTI), November 1995. http://dx.doi.org/10.2172/421332.

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Schmidt, D. M., and M. A. Espy. Low-field magnetic resonance imaging of gases. Office of Scientific and Technical Information (OSTI), November 1998. http://dx.doi.org/10.2172/674672.

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Bronskill, Michael J., Paul L. Carson, Steve Einstein, Michael Koshinen, Margit Lassen, Seong Ki Mun, William Pavlicek, et al. Site Planning for Magnetic Resonance Imaging Systems. AAPM, 1986. http://dx.doi.org/10.37206/19.

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Budakian, Raffi. Nanometer-Scale Force Detected Nuclear Magnetic Resonance Imaging. Fort Belvoir, VA: Defense Technical Information Center, January 2013. http://dx.doi.org/10.21236/ada591583.

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Haslam, Philip. Multiparametric magnetic resonance imaging of the prostate gland. BJUI Knowledge, March 2021. http://dx.doi.org/10.18591/bjuik.0731.

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Schmidt, D. M., J. S. George, S. I. Penttila, and A. Caprihan. Nuclear magnetic resonance imaging with hyper-polarized noble gases. Office of Scientific and Technical Information (OSTI), October 1997. http://dx.doi.org/10.2172/534499.

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Diegert, C. Innovative computing for diagnoses from medical, magnetic-resonance imaging. Office of Scientific and Technical Information (OSTI), January 1997. http://dx.doi.org/10.2172/477671.

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Botto, R. E., and G. D. Cody. Magnetic resonance imaging of solvent transport in polymer networks. Office of Scientific and Technical Information (OSTI), February 1995. http://dx.doi.org/10.2172/26588.

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Cutting, Laurie E. Magnetic Resonance Spectroscopy Imaging and Function Magnetic Resonance Imaging of Neurofibromatosis Type I: In vivo Pathophysiology, Brain-Behavior Relationships and Reading Disabilities. Fort Belvoir, VA: Defense Technical Information Center, March 2005. http://dx.doi.org/10.21236/ada436879.

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Cutting, Laurie E. Magnetic Resonance Spectroscopy Imaging and Functional Magnetic Resonance Imaging of Neurofibromatosis Type I: In Vivo Pathophysiology Brain-Behavior Relationships and Reading Disabilities. Fort Belvoir, VA: Defense Technical Information Center, October 2003. http://dx.doi.org/10.21236/ada420953.

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