INTRODUÇÃO: A referência padrão para determinação do grau tumoral é a avaliação histopatológica. Entretanto, algumas limitações estão associadas com a correta graduação histopatológica dos gliomas: (a) erro inerente da amostra associada a biópsia estereotáxica, sendo que a porção mais maligna do tumor pode não estar incluída na amostra obtida; (b) dificuldade em obter uma gama suficiente de amostras se o tumor for inacessível ao cirurgião;(c) dinâmica própria dos tumores do sistema nervoso central, com diferenciação freqüente em graus de maior malignidade; (d) variabilidade entre patologistas; (e) inabilidade para avaliação de tecido tumoral residual após cirurgia redutora. Embora a ressonância magnética (RM) convencional seja a técnica de maior utilidade no diagnóstico e avaliação de tumores cerebrais, de forma isolada não possui acurácia em predizer o grau tumoral. Técnicas avançadas de RM, tais como caracterização de alterações metabólicas na espectroscopia de prótons (ERM), valores de volume sanguíneo cerebral relativo (VSCr) obtido com a perfusão por RM e imagem de difusão com o cálculo do coeficiente de difusão aparente (CDA), têm sido avaliadas como ferramentas diagnósticas na graduação prospectiva dos gliomas cerebrais. OBJETIVOS: Determinar quais são os parâmetros derivados da perfusão, difusão e espectroscopia que auxiliam a graduação tumoral. Determinar a sensibilidade, especificidade, valor preditivo positivo (VPP) e valor preditivo negativo (VPN) de cada método. Determinar se há alguma correlação entre os parâmetros utilizados na determinação do grau de malignidade tumoral. Determinar se a combinação destas técnicas aumenta a efetividade diagnóstica para graduação tumoral. MÉTODOS: 56 pacientes com tumores de origem glial, sendo 37 glioblastomas multiforme, 2 astrocitoma anaplásico, 1 oligoastrocitoma anaplásico, 3 oligoastrocitomas grau II, 9 astrocitomas grau II e 4 astrocitomas pilocíticos, foram submetidos a RM convencional, difusão, perfusão e ERM em aparelho 1,5 T (GE-Horizon LX9.1). O estudo da difusão foi realizado com sequência SE-EPI com tempo de repetição (TR)/tempo de eco (TE) = 8000/110,8ms. A perfusão foi adquirida com sequência GRE-EPI com TR/TE = 2000/34,7ms. Para o estudo de ERM utilizamos sequência multivoxel com TR/TE=1500/135ms. RESULTADOS: Diferenças significativas foram encontradas entre gliomas de baixo grau (BG) e alto grau (AG), com maiores valores de VSCr, Lip e Lip/Cr nos tumores de AG e maior valor de Cr nos tumores de BG. Tumores de AG apresentaram valores menores de CDA do que os de BG, porém sem diferença significativa. Correlação inversa foi observada entre valores de VSCr e CDA. O melhor parâmetro isolado para graduação tumoral foi o valor do VSCr. A combinação de VSCr e Cr, e VSCr e Lip, mostrou aumento da sensibilidade e especificidade na graduação dos gliomas. CONCLUSÕES: As alterações metabólicas utilizando a razão Lip/Cr, e os valores de Lip e Cr, assim como os valores de VSCr foram úteis na graduação tumoral. O melhor parâmetro para graduação tumoral foi o valor de VSCr. A combinação do VSCr e Cr, e VSCr e Lip aumenta a sensibilidade e especificidade na determinação da graduação dos gliomas / INTRODUCTION: The current reference standard for determining glioma grade is histopathologic assessment. However some limitations are associated with correct histopathologic grading of gliomas: (a) inherent sampling error associated with stereotactic biopsy and the risk of missing the most malignant portion of the tumor in the sampling; (b) difficulty in obtaining a representative range of samples if the tumor is inaccessible to the surgeon; (c) the dynamic nature of central nervous system tumors, with frequent dedifferentiation into more malignant grades; (d) interpathogist variability and (e) inability to evaluate residual tumor tissue after reductive surgery. Although MR imaging is the most useful radiologic technique in the diagnosis and evaluation of common brain tumors, it is not accurate enough in predicting tumor grade. Advanced MR imaging techniques such as characterization of metabolic changes in MR spectroscopy (MRS), relative cerebral blood volume (rCBV) measurements derived from perfusion MR imaging, and diffusion-weighted MR imaging with calculation of apparent diffusion coefficient (ADC), have been evaluated as diagnostic tool in prospective grading of cerebral gliomas. OBJECTIVES: To determine the usefulness of perfusion, diffusion, and spectroscopy values for glioma grading. To determine sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV), of each method. To determine if there is any correlation between parameters used in glioma grading. To determine whether the combination of these techniques can improve the diagnostic effectiveness of glioma grading. METHODS: 56 patients with glial tumors: 37 glioblastoma multiforme, 2 anaplastic astrocytoma, 1 anaplastic oligoastrocytoma, 3 oligoastrocytomas grade II, 9 astrocytomas grade II and 4 pylocitic astrocytomas. Patients underwent conventional MR, diffusion, perfusion and MRS, performed with a 1.5-T unit (GE-Horizon LX9.1). The diffusion-weighted images were acquired by using a SE-EPI imaging sequence with repetition time (TR)/echo time (TE) = 8000/110.8ms. Perfusion-weighted imaging were acquired by using GRE-EPI with TR/TE = 2000/34.7ms. Multivoxel MRS imaging were acquired by using TR/TE=1500/135ms. RESULTS: Significant differences were noted between low-grade (LG) and high-grade (HG) gliomas with higher values of rCBV, Lip, Lip/Cr in HG, and higher values of Cr in LG. HG tumors had lower ADC values than LG, but with no statistical significant difference. An inverse relationship was observed between rCBV and ADC values. The best performing single parameter for glioma grading was rCBV value. Combination of rCBV and Cr, and rCBV and Lip, showed improvement in sensitivity and specificity in grading of gliomas. CONCLUSIONS: Metabolic changes using Lip/Cr ratio and Lip and Cr, and rCBV values were useful in tumor grading. The best parameter for glioma grading was rCBV value. The combination of rCBV and Cr, and rCBV and Lip increased the sensitivity and specificity in determining glioma grade

Déficits cognitivos são frequentes em pacientes com esclerose múltipla (EM), especialmente a memória de longo prazo. Por outro lado, estudos de imagem por ressonância magnética têm correlacionado atrofia do hipocampo aos déficits mnésicos destes pacientes. Considerando-se a atrofia um marcador de dano neuronal tardio, justifica-se a investigação da fisiopatologia do dano hipocampal nas fases inicias da doença. Objetivo: Descrever os achados volumétricos e neuroquímicos da formação hipocampal de pacientes com EM recorrente-remitente (EMRR) em suas fases iniciais, comparando-os ao de um grupo de indivíduos saudáveis, e avaliar suas relações com a memória de longo prazo. Material e Métodos: Vinte e nove pacientes (19 mulheres, idade média 31 anos ± 8,7) com EMRR e um grupo controle composto por 26 indivíduos saudáveis (19 mulheres, idade média 30,7 anos ± 8,4) realizaram a 1H-ERM em magneto 3,0T. Foi utilizada técnica single-voxel e sequência PRESS com TR = 1500 ms, TE = 135 ms e dimensões fixas do voxel (6 cm3) localizado ao longo do hipocampo esquerdo para avaliação do N-acetil-aspartato (NAA), Colina (Cho) e Creatina (Cr), sendo a análise feita com o software LC Model. A avaliação volumétrica do encéfalo e da formação hipocampal foi realizada por meio do software FreeSurfer. Os indivíduos foram avaliados cognitivamente tendo sido criado um escore de memória verbal que avalia a evocação tardia (EMV-T), empregando-se a etapa de evocação tardia do Hopkins Verbal Learning Test-Revised e o Teste da Memória Lógica-II. Resultados: Observou-se atrofia em ambos os hipocampos dos pacientes com EM. Além disso, pacientes apresentaram menores níveis de NAA quando comparados aos do grupo de controles (F(1,51) = 4,089; p = 0,048), tendo sido observada correlação positiva entre NAA e o volume da formação hipocampal no grupo de pacientes (r = 0,372; p = 0,047). Por fim, pacientes apresentaram correlação negativa significante entre EMV-T e NAA (r = -0,408; p = 0,031), Cho (r = -0,509; p = 0,006) e Cr (r = -0,402; p = 0,034), enquanto que, nos controles, apenas foi observada leve tendência de correlação na direção oposta. Conclusões: Nossos resultados indicam, nas fases inicias da EM, atrofia e redução dos níveis de NAA na formação hipocampal, secundário à disfunção e/ou perda neuronal. O fato dos pacientes apresentarem relação entre metabólitos hipocampais e memória oposta ao que é esperado, para indivíduos saudáveis, está de acordo com a hipótese da presença de mecanismos compensatórios na função cognitiva de pacientes com EM / Cognitive deficits are common in patients with multiple sclerosis (MS), especially long-term memory. Moreover, magnetic resonance imaging studies have correlated hippocampal atrophy with mnemonic deficits in these patients. Considering atrophy a late marker of neuronal damage, investigation of the pathophysiology of hippocampal damage in the early stages of the disease is justified. Objective: Describe the volumetric and neurochemical findings of the hippocampal formation of early relapsing-remitting MS patients (RRMS), comparing it to a group of healthy subjects, and assess its relationships with long-term memory. Material and Methods: Twenty-nine patients (19 women, mean age 31 years ± 8,7) with RRMS and a control group of 26 healthy individuals (19 women, mean age 30,7 anos ± 8,4) underwent 1H-MRS in 3,0T scanner. Single-voxel PRESS sequence with repetition time of 1500 msec, echo time of 135 msec and fixed dimensions of the voxel (6 cm3) was located along the left hippocampus. Data were processed with LC Model software and the concentration of N-acetyl-aspartate (NAA), Choline (Cho) and Creatine (Cr) was calculated. Brain and hippocampal formation volumes were quantified using FreeSurfer software. Subjects were assessed cognitively and a verbal memory score assessing delayed recall (EMV-T) was developed, using Hopkins Verbal Learning Test-Revised delayed recall and Logical Memory-II test. Results: Atrophy was observed in both hippocampi of MS patients. In addition, MS patients had lower NAA levels compared to the control group (F (1,51) = 4,089, p = 0,048), and positive correlation between NAA and hippocampal formation volume was observed in patient group (r = 0.372, p = 0.047). Finally, patients showed a significant negative correlation between EMV-T and NAA (r = -0.408, p = 0.031), Cho (r = -0.509, p = 0.006) and Cr (r = -0.402, p = 0.034), while only a weak tendency to an association in the opposite direction was observed in the control group. Conclusion: Our results indicate, in early MS, atrophy and reduced levels of NAA in the hippocampal formation, secondary to neuronal loss and/or dysfunction. The fact that the observed relationship between hippocampal metabolites and memory was in the opposite direction as what it is expected for healthy subjects supports the hypothesis that compensatory mechanisms are present in cognitive function of MS patients

A Ressonância Magnética e a Espectroscopia por Ressonância Magnética de Hidrogênio têm sido empregadas em estudos anatômicos e neuroquímicos do Transtorno Depressivo Maior (TDM). Dezenove crianças com TDM e 24 controles saudáveis foram avaliados em um magneto de 1,5 Tesla (Philips Intera 8.1.1.). Em comparação aos controles saudáveis, crianças com TDM apresentaram: menores volumes de hipocampo esquerdo; e no voxel único em CPFDL esquerdo: menores níveis dos compostos de colina, e maiores níveis de mio-inositol em CPFDL esquerdo. Menores níveis dos compostos de colina podem refletir uma diminuição da renovação de membranas. Maiores níveis de mio-inositol podem representar uma alteração no sistema de segundos mensageiros intracelulares / Magnetic resonance imaging and proton magnetic resonance spectroscopy have been applied to anatomical and neurochemical studies of Major Depressive Disorder (MDD). Nineteen children with MDD and 24 healthy controls were evaluated on a 1.5 Tesla (Philips Intera 8.1.1.) MRI. Compared to healthy controls, children with MDD presented: smaller left hippocampal volumes; and lower levels of choline-containing-compounds and higher myo-inositol levels in the left DLPFC. Lower levels of choline-containing-compounds in pediatric patients with MDD may reflect lower cell membrane turn-over. Higher myo-inositol levels in MDD may represent a disturbed secondary messengers system

Identifying targets in cluttered scenes is critical for our interactions in complex environments. Our visual system is challenged to both detect elusive targets that we may want to avoid or chase and discriminate between targets that are highly similar. These tasks require our visual system to become an expert at detecting distinctive features that help us differentiate between indistinguishable targets. As the human brain is trained on this type of visual tasks, we observe changes in its function that correspond to improved performance. We use functional brain imaging, to measure learning-dependent modulations of brain activation and investigate the processes that mediate functional brain plasticity. I propose that dissociable brain mechanisms are engaged when detecting targets in clutter vs. discriminating between highly similar targets: for the former, background clutter needs to be suppressed for the target to be recognised, whereas for the latter, neurons are tuned to respond to fine differences. Although GABAergic inhibition is known to suppress redundant neuronal populations and tune neuronal representations, its role in visual learning remains largely unexplored. Here, I propose that GABAergic inhibition plays an important role in visual plasticity through training on these tasks. The purpose of my PhD is to investigate the inhibitory mechanisms that mediate visual perceptual learning; in particular, learning to detect patterns in visual clutter and discriminate between highly similar patterns. I show that BOLD signals as measured by functional Magnetic Resonance Imaging (fMRI) do not differentiate between the two proposed mechanisms. In contrast, Magnetic Resonance Spectroscopy (MRS) provides strong evidence for the distinct involvement of GABAergic inhibition in visual plasticity. Further, my findings show GABA changes during the time-course of learning providing evidence for a distinct role of GABA in learning-dependent plasticity across different brain regions involved in visual learning. Finally, I test the causal link between inhibitory contributions and visual plasticity using a brain stimulation intervention that perturbs the excitation-inhibition balance in the visual cortex and facilitates learning.

A Ressonância Magnética e a Espectroscopia por Ressonância Magnética de Hidrogênio têm sido empregadas em estudos anatômicos e neuroquímicos do Transtorno Depressivo Maior (TDM). Dezenove crianças com TDM e 24 controles saudáveis foram avaliados em um magneto de 1,5 Tesla (Philips Intera 8.1.1.). Em comparação aos controles saudáveis, crianças com TDM apresentaram: menores volumes de hipocampo esquerdo; e no voxel único em CPFDL esquerdo: menores níveis dos compostos de colina, e maiores níveis de mio-inositol em CPFDL esquerdo. Menores níveis dos compostos de colina podem refletir uma diminuição da renovação de membranas. Maiores níveis de mio-inositol podem representar uma alteração no sistema de segundos mensageiros intracelulares / Magnetic resonance imaging and proton magnetic resonance spectroscopy have been applied to anatomical and neurochemical studies of Major Depressive Disorder (MDD). Nineteen children with MDD and 24 healthy controls were evaluated on a 1.5 Tesla (Philips Intera 8.1.1.) MRI. Compared to healthy controls, children with MDD presented: smaller left hippocampal volumes; and lower levels of choline-containing-compounds and higher myo-inositol levels in the left DLPFC. Lower levels of choline-containing-compounds in pediatric patients with MDD may reflect lower cell membrane turn-over. Higher myo-inositol levels in MDD may represent a disturbed secondary messengers system

Dietas ricas em gordura ou carboidrato têm sido difundidas e consumidas nas últimas décadas, entretanto pouco é conhecido sobre as consequências metabólicas destas em longo prazo. Neste estudo, foram analisados a quantidade de gordura intramiocelular (IMCL), a função endotelial, além da lipemia, glicemia, insulinemia e resistência à insulina após semanas de dieta rica em gordura ou carboidrato, perdendo ou mantendo peso. De 43 mulheres triadas com sobrepeso (25< BMI <29.9 Kg/m2), 22 foram randomizadas para duas diferentes sequências de dietas. O IMCL foi medido através de espectroscopia por ressonância magnética 1H e a função endotelial pela pletismografia. Após 4 semanas de dieta rica em carboidrato, mantendo peso, foi observado aumento no IMCL do músculo tibial anterior (2.06 ± 1.27 vs. 3.52 ± 1.92, p=0.04) e na insulinemia em jejum (11.55 ± 4.43 vs. 14.03 ± 5.23, p=0.04), enquanto a dieta rica em gordura, no mesmo período, ocasionou aumento no HDL-C (37.06 ± 8.42 vs. 42.5 ± 9.32, p=0.003) e redução nos níveis de triglicerídeos em jejum (102,83 ± 34,10 vs. 75,83 ± 20,91, p=0,02). A função endotelial, colesterol total, LDL-C e resistência à insulina não mudaram durante esta fase. A perda de peso (média de 5%, por 8 semanas), não promoveu modificações nos parâmetros metabólicos vistos com a dieta de manutenção de peso. A partir destes resultados, concluiu-se que a ingestão de dieta rica em carboidrato, por 4 semanas de manutenção de peso, aumenta a insulinemia em jejum e o IMCL do músculo tibial anterior, enquanto a dieta rica em gordura pelo mesmo período aumenta o HDL-C e reduz triglicerídeos em mulheres saudáveis com sobrepeso. / High fat or high carbohydrate (cab) diet have been widely difunded and consumed during last decades; however it is not clear their metabolic effects in long term. In the present study we analyzed intramyocellular lipids (IMCL), endothelial function, plasma lipids, glucose, insulin and insulin resistance after high fat or high cab diet during weeks, maintaining or losing weight. 43 overweight women (25< BMI <29.9 Kg/m2) were screened, 22 of them were randomized to two different diet sequence. IMCL was measured by using 1H magnetic resonance spectroscopy and endothelial function by using plethysmography method. Tibialis anterior IMCL (2.06 ± 1.27 vs. 3.52 ± 1.92, p=0.04) and fasting insulinemia increased (11.55 ± 4.43 vs. 14.03 ± 5.23, p=0.04) after four weeks of high cab diet after maintenance phase, while fasting HDL-C increased (37.06 ± 8.42 vs. 42.5 ± 9.32, p=0.003) and triglycerides levels decreased (102.83 ± 34.10 vs. 75.83 ± 20.91, p=0.02) after maintenance phase of high fat diet. Endothelial function, total cholesterol, LDL-C and insulin resistance did not alter during maintenance phase. A weight loss of 5%, after eight weeks, did not promote changes in the metabolic parameters, as seen during maintenance phase. Based on these results, it was concluded that high cab diet, four weeks with no weight change, increases tibialis anterior IMCL and fasting insulinemia, while high fat diet during same period increases HDL-C and decreases triglycerides in a healthy overweight women population.

Over the past few decades, amorphous solid dispersions (ASDs) have been of great interest to pharmaceutical scientists to address bioavailability issues associated with poorly water-soluble drugs. ASDs consist of an active pharmaceutical ingredient (API) that is typically dispersed in an inert polymeric matrix. Despite promising advantages, a major concern that has resulted in limited marketed formulations is the physical instability of these complex formulations. Physical instability is often manifested as phase heterogeneity, where the drug and carrier migrate and generate distinct phases, which can be a prelude to recrystallization. One important factor that dictates the physical stability of ASDs is the spatial distribution of API in the polymeric matrix. It is generally agreed that intimate mixing of the drug and polymer is necessary to achieve maximum stabilization, and thus understanding the factors controlling phase mixing and nano-domain structure of ASDs is crucial to rational formulation design. The focus of this thesis work is to better understand the factors involved in phase mixing on the nanometric level and get insights on the role of excipients on overall stabilization of these systems. The central hypothesis of this research is that an intimately mixed ASD will have better physical stability as compared to a partially homogeneous or a non-homogeneous system. Our approach is to probe and correlate phase homogeneity and intermolecular drug-excipient interactions to better understand the physical stability of ASDs primarily using solid-state nuclear magnetic resonance (SSNMR) spectroscopy and other solid-state characterization tools. A detailed investigation was carried out to understand the role of hydrogen bonding on compositional homogeneity on different model systems. A comprehensive characterization of ternary ASDs in terms of molecular interactions and physical stability was studied. Finally, long-term physical stability studies were conducted in order to understand the impact of different grades of a cellulosic polymer on phase homogeneity for two sets of samples prepared via different methods. Overall, through this research an attempt has been made to address some relevant questions pertaining to nano-phase heterogeneity in ASDs and provide a molecular level understanding of these complex systems to enable rational formulation design.

The aim of this research project was to use 15N nuclear magnetic resonance (NMR) spectroscopy to better understand nitrogen (N) cycling processes in forest plantations. In particular, the studies were designed to link to the effects of forest management practices and environmental conditions. 15N NMR cross polarization/magic angle spinning (CPMAS) and dipolar dephasing (DD)-CPMAS experiments of some simple N-containing compounds found widely in nature were first undertaken. This was done in order to understand how different sample conditions, such as the presence of moisture, sample mixing and dilution, affected the intensity and the observability of the NMR peaks corresponding to N containing functional groups. Our results exhibited changes in NMR signal intensities and various time constants calculated. In the case of variable contact time experiments, use of an equation that predicts both a bi-exponential rise and decay was found to fit the data obtained more accurately. The optimised parameters for 15N NMR CPMAS were then used along with other analytical techniques such as ion chromatography, total C and N and elemental analyses to study plant nutrient uptake, plant decomposition and the effect of forest ecosystem disturbances, in this case an insect infestation. These analytical data were also correlated with the changes in the 13C NMR spectra in order to gain a more comprehensive understanding of the chemical transformations in the forest ecosystem. / Doctor of Philosophy (PhD)

Magnetic Resonance Spectroscopy (MRS) and Spectroscopic Imaging (MRSI) play an emerging role in clinical assessment, providing in vivo estimation of disease markers while being non-invasive and applicable to a large range of tissues. However, static magnetic field inhomogeneity, as well as eddy currents in the acquisition hardware, cause important distortions in the lineshape of acquired NMR spectra, possibly inducing significant bias in the estimation of metabolite concentrations. In the post-acquisition stage, this is classically handled through the use of pre-processing methods to correct the dataset lineshape, or through the introduction of more complex analytical model functions. This thesis concentrates on handling arbitrary lineshape distortions in the case of quantitation methods that use a metabolite basis-set as prior knowledge. Current approaches are assessed, and a novel approach is proposed, based on adapting the basis-set lineshape to the measured signal.Assuming a common lineshape to all spectral components, a new method is derived and implemented, featuring time domain local regression (LOWESS) filtering. Validation is performed on synthetic signals as well as on in vitro phantom data. Finally, a completely new approach to MRS quantitation is proposed, centred on the use of the compact spectral support of the estimated common lineshape. The new metabolite estimators are tested alone, as well as coupled with the more common residual-sum-of-squares MLE estimator, significantly reducing quantitation bias for high signal-to-noise ratio data.

No description available.