Le trouble bipolaire est un trouble de l’humeur chronique marqué par l'alternance de dépressions, d'épisodes maniaques et de rémissions. La neuroimagerie permet l'étude de l'anatomie et du fonctionnement cérébral des patients bipolaires. Des études existantes avaient ainsi retrouvé des anomalies dans les aires du traitement des émotions chez les patients bipolaires. L'IRM anatomique avait permis de mettre en évidence certaines modifications morphométriques des régions associées (amygdale, gyrus cingulaire, thalamus) ainsi que des hypersignaux de la substance blanche. En imagerie fonctionnelle, lors du traitement d'informations émotionnelles, les patients bipolaires présentaient une hyperactivation d'un réseau ventro-limbique et une hypoactivation d'un réseau dorsal cognitif. Nous avons tout d’abord utilisé l'IRM de diffusion pour étudier la connectivité anatomique dans le trouble bipolaire. Dans une première étude, nous avons reconstruit le faisceau uncine, reliant le réseau dorsal cognitif au réseau ventro-limbique, chez 16 patients bipolaires et 16 contrôles en utilisant les techniques de suivi de fibres dites de tractographie exploitant les données d'IRM de diffusion. Les patients bipolaires avaient plus de fibres reconstruites dans le faisceau uncine gauche. Dans le même échantillon, en étudiant l'anisotropie du processus de diffusion dans tout le cerveau, nous avons également identifié une augmentation diffuse de la connectivité anatomique chez les patients. Enfin, nous avons réalisé une étude multicentrique internationale d’IRM de diffusion incluant 118 patients 10 bipolaires et 86 contrôles. Nous avons alors montré une diminution significative de l'anisotropie le long du corps calleux, du cingulum gauche et du faisceau arqué gauche chez les patients. Les patients bipolaires avec caractéristiques psychotiques avaient une anisotropie du corps calleux plus basse que les patients sans caractéristiques psychotiques. Dans une seconde partie de notre travail, nous avons étudié l'interférence produite par une information émotionnelle sur un traitement cognitif chez les patients. Nous avons comparé 17 patients bipolaires euthymiques à 17 sujets contrôles en IRM fonctionnelle lors d'un paradigme de type go/no-go émotionnel. Notre étude apporte des arguments tendant à démontrer l'existence d'une altération de la modulation par une information émotionnelle d’un traitement cognitif chez les patients avec une hyperactivation d’un réseau fronto-cingulo-striatal. Enfin, nous avons réalisé une synthèse quantitative de la littérature s'intéressant à l'imagerie anatomique, fonctionnelle et de diffusion dans le trouble bipolaire. Nous avons retrouvé chez les patients une diminution d’activation dans les tâches émotionnelles et une diminution du volume de substance grise dans des régions frontales et dorsales, tandis que sont présentes des hyperactivations dans des régions limbiques. L'ensemble de ces résultats a permis de préciser le modèle neural du trouble bipolaire avec les anomalies les plus importantes au niveau des zones impliquées dans la régulation automatique des émotions. Nos travaux ont significativement contribué à faire envisager le trouble bipolaire comme lié à des anomalies de la connectivité préfronto-limbique. Ils ouvrent aussi des perspectives de travail pour progresser dans la compréhension de sa physiopathologie. En particulier, le suivi prospectif d'une cohorte de patients permettra d'évaluer l'influence de l'évolution de la maladie bipolaire sur la structure cérébrale. Les techniques récentes d'IRM de diffusion permettront de mieux comprendre la signification physiopathologique des anomalies identifiées. Enfin, la reconceptualisation dimensionnelle proposée par le DSM-5 et le NIMH permettra probablement d'identifier des dimensions plus pertinentes que les catégories diagnostiques actuelles. / [Summary made by the web site Reverso] The bipolar disorder is a confusion of the chronic humor marked by the alternation of depressions, manic episodes and forgiveness. The neuroimaging allows the study of the anatomy and the cerebral functioning of the bipolar patients. Existing studies had so found anomalies in the areas of the treatment of the feelings at the bipolar patients. The anatomical MRI had allowed to highlight certain morphométriques modifications of the regions associated (tonsil, gyrus cingulaire, thalamus) as well as hypersignals of the white material. In functional imaging, during the processing of emotional information, the bipolar patients presented a hyperactivation of a network ventro-limbique and a hypoactivation of a cognitive dorsal network. We used first of all the MRI of distribution to study the anatomical connectivity in the bipolar disorder. In a first study, we reconstructed the beam uncine, connecting(binding) the cognitive dorsal network with the ventro-limbique network, at 16 bipolar patients and 16 controls by using the techniques of follow-up of said fibers of tractographie exploiting the data of MRI of distribution. The bipolar patients had more fibers reconstructed in the beam left uncine. In the same sample, by studying the anisotropie of the process of distribution in all the brain, we also identified a diffuse increase of the anatomical connectivity at the patients. In the same sample, by studying the anisotropie of the process of distribution in all the brain, we also identified a diffuse increase of the anatomical connectivity at the patients. Finally, we realized a study international multicentrique of MRI of distribution including 118 bipolar patients 10 and 86 controls. We then showed a significant decrease of the anisotropie along the corpus callusum, along the left(awkward) cingulum and along the left hooked beam at the patients. The bipolar patients with psychotic characteristics had an anisotropie of the corpus callusum lower than the patients without psychotic characteristics. In a second part of our work, we studied the interference produced by an emotional information about a cognitive treatment at the patients. We compared 17 bipolar patients euthymiques on 17 subjects controls in functional MRI during one paradigm of type emotional go / no-go. Our study brings arguments tending to demonstrate the existence of a change of the modulation by an emotional information of a cognitive treatment at the patients with a hyperactivation of a fronto-cingulo-striatal network. Finally, we realized a quantitative synthesis of the literature being interested in the anatomical, functional imaging and of distribution in the bipolar disorder. We found at the patient's a decrease of activation in the emotional tasks and a decrease of the volume of grey matter in frontal and dorsal regions, whereas are present hyperactivations in limbiques regions. All these results allowed to specify the neural model of the bipolar disorder with the most important anomalies at the level of zones implied in the self-regulation of the feelings. Our works significantly contributed to make envisage the bipolar disorder as bound to anomalies of the préfronto-limbique connectivity. They also open working perspectives to progress in the understanding of its physiopathology. In particular, the forward-looking follow-up of patients' troop will allow to estimate the influence of the evolution of the bipolar disease on the intellectual structure. The recent techniques of MRI of distribution will allow to understand better the physiopathological meaning of the identified anomalies. Finally, the dimensional reconceptualisation proposed by the DSM-5 and the NIMH will probably allow to identify dimensions more relevant than the current diagnostic categories.

Le travail de cette thèse est méthodologique centré autour de l'imagerie du tenseur de diffusion par résonance magnétique (DTI) avec des développements incluant des simula- tion Monte Carlo des signaux RMN de diffusion dans des modèles géométriques du tissu cérébral et des acquisitions de séquence DTI haute résolution 3D pour aboutir à l'imagerie "fibre tracking" dans le cerveau de souris. Différents modèles géométriques de la substance blanche, grise ou encore incluant les deux structures sont proposés. Le principe de leur génération est décrit ainsi que la gestion des contraintes liées à la compartimentation. Il est montré aussi le principe de l'élaboration d'un nouveau “modèle composite” qui per- met de modéliser des géométries complexes comme le mélange de différentes structures ou encore des différentes orientations des axes des fibres de la substance blanche. Un avantage au modèle composite est sa simplicité et le gain en temps de calcul. Les résul- tats des simulations ont été confrontés à des données in vivo et ont permis d'interpréter l'origine des signaux et d'évaluer l'impact de certains paramètres géométriques sur ces signaux. Ils ont permis aussi d'optimiser les conditions d'acquisition. Une application majeure des développements de l'imagerie 3D haute résolution est son application dans un modèle apparenté à la schizophrénie chez la souris. Par comparaison à des souris nor- males, il est montré, pour la première fois en utilisant DTI et l'imagerie fibre tracking, une baisse du volume de la matière blanche et une réduction, voire une absence de la partie post-commissurale du fornix, un tract qui relaie l'hippocampe vers le corps mamillaire. / Le travail de cette thèse est méthodologique centré autour de l'imagerie du tenseur de diffusion par résonance magnétique (DTI) avec des développements incluant des simula- tion Monte Carlo des signaux RMN de diffusion dans des modèles géométriques du tissu cérébral et des acquisitions de séquence DTI haute résolution 3D pour aboutir à l'imagerie "fibre tracking" dans le cerveau de souris. Différents modèles géométriques de la substance blanche, grise ou encore incluant les deux structures sont proposés. Le principe de leur génération est décrit ainsi que la gestion des contraintes liées à la compartimentation. Il est montré aussi le principe de l'élaboration d'un nouveau “modèle composite” qui per- met de modéliser des géométries complexes comme le mélange de différentes structures ou encore des différentes orientations des axes des fibres de la substance blanche. Un avantage au modèle composite est sa simplicité et le gain en temps de calcul. Les résul- tats des simulations ont été confrontés à des données in vivo et ont permis d'interpréter l'origine des signaux et d'évaluer l'impact de certains paramètres géométriques sur ces signaux. Ils ont permis aussi d'optimiser les conditions d'acquisition. Une application majeure des développements de l'imagerie 3D haute résolution est son application dans un modèle apparenté à la schizophrénie chez la souris. Par comparaison à des souris nor- males, il est montré, pour la première fois en utilisant DTI et l'imagerie fibre tracking, une baisse du volume de la matière blanche et une réduction, voire une absence de la partie post-commissurale du fornix, un tract qui relaie l'hippocampe vers le corps mamillaire.

INTRODUÇÃO: Imagens por tensores de difusão (diffusion tensor imaging - DTI) do cérebro são parte fundamental de exames de ressonância magnética (RM) na rotina clínica. Entretanto, não há informação científica suficiente para inferir a base histológica de parâmetros de imagens de DTI. Um dos achados frequentes nos exames de RM são as áreas de alteração de sinal na substância branca (AASSB). Neste estudo, analisamos imagens de RM post-mortem, em particular as AASSB, e seus correlatos histológicos e imuno-histoquímicos. OBJETIVOS: Descrever os parâmetros quantitativos de imagens de DTI imagens obtidas in cranio post-mortem, comparar com parâmetros de relaxometria e transferência de magnetização e avaliar seus correlatos histológicos nas AASSB e AHAN, utilizando técnicas de correspondência espacial ponto-a-ponto. MÉTODOS: Analisamos áreas distribuídas na substância branca de encéfalos de quatro sujeitos submetidos ao exame de RM post-mortem, aproximadamente 12,87 horas (±2,59). A RM foi realizada em sistema com campo de 3,0 T, sendo utilizadas imagens FLAIR; T2 multi-eco, DTI, Densidade de Prótons para cálculo da taxa de transferência de magnetização (magnetization transfer ratio - MTR). Foram delimitadas regiões de interesse (ROI) em 20 áreas contendo AASSB e 20 áreas homólogas aparentemente normais (AHAN). Para cada área, foram obtidos valores de anisotropia fracional (FA), coeficiente de difusão aparente (ADC), MTR e tempo T2. Os encéfalos foram seccionados em fatias de 0,4mm e fotografados em alta resolução. Estas imagens foram co-registradas tridimensionalmente com as imagens de RM, utilizando técnica semi-automatizada para correlação ponto-a-ponto. Os fragmentos analisados foram corados por hematoxilina-eosina (HE), Kluverx Barrera (KB), galocianina (GALL), anti-neurofilamento (anti-NF), antiproteína básica de mielina (anti-MBP) e anti-proteína ácida fibrilar glial (anti- GFAP). RESULTADOS: Os valores de FA foram 0,40 ±0,12 nas AASSB, e 0,52±0,15 nas AHAN. Os valores de ADC foram nas AASSB de 0,129±0,04 x 10-3mm2/s, e 0,108±0,03 x10-3mm2/s nas AHAN. Os valores de MTR foram 51,59±0,88 % nas AASSB, e 52,88±4,09 % nas AHAN. Os valores de RT2 foram 91,79±1,95 % nas AASSB, e 69,94±4,54 % nas AHAN. Os valores de HE foram 162,9±20,0 nas AASSB, e 163,3±20,4 nas AHAN. Os valores de GALL foram de 181,8±4,36 nas AASSB, e 167,11±20,65 nas AHAN. Os valores de KB foram de 168,9±19,08 nas AASSB, e 182.82±20,65 nas AHAN. Os valores de NF médios mensurados foram de 131,6±12,23 nas AASSB, e 128,03±4,74 nas AHAN. Os valores de MBP médios mensurados foram de 153,9 ±13,67 nas AASSB, e 153,18±12,69 nas AHAN. Os valores de GFAP médios mensurados foram de 94.61±7,85 nas AASSB, e 81,23±6,29 nas AHAN. Os testes não paramétricos de correlação (Spearman) entre variáveis de imagens de RM e histologia apresentaram correlação apenas entre FA e GFAP (r=-0,59; p < 0,005). DISCUSSÃO E CONCLUSÕES: De acordo com os resultados obtidos, podemos inferir que a presença de gliose é um processo patológico que pode ser detectado utilizando os parâmetros de FA nas imagens de DTI. Os resultados apresentados demonstram que imagens de RM adquiridas post-mortem podem servir para compreender melhor as alterações estruturais do tecido cerebral / BACKGROUND: Diffusion tensor imaging (DTI) is part of magnetic resonance imaging (MRI) acquisition methods available in clinical exams. However, there are not enough scientific basis to infer the histological substract of DTI parameters. White matter hyperintensities (WMH) are frequent findings in clinical MRI routine. In the last years, scientific evidences show that these injuries are not just age-related benign changes, but they could be associated to pathological processes. In this study we analyzed post-mortem MRI DTI data, specifically investigating WMH, their histological and immunohistochemical correlates. OBJECTIVES : At present study, we aimed to analyze quantifiable DTI parameters - Fractional Anisotropy (FA) and Apparent Diffusion Coefficient (ADC) - relaxometry (RT2) and magnetization transfer ratio (MTR) in WMH compared and normal appearing white matter (NAWM) from images obtained postmortem and in situ, and assess their histological substracts at WMH and NAWM using a point-topoint correlation platform. METHODS : We analyzed 20 regions of interest (ROI) encompassing WMH and NAWM selected from four subjects using in situ post-mortem MRI data acquired in 3.0T MR system. The subjects were scanned with a post-mortem interval of approximately 12h54m (±2h36m). The MRI analysis included 3D T1, FLAIR; multi-echo T2, DTI, and proton density to calculate the rate of magnetization transfer (magnetization transfer ratio - MTR). In each ROI we obtained measures of FA, ADC, RT2 and MTR. Brain specimens were posteriorly fixed in celloidin, sectioned into 0.4mm slices and photographed in high resolution. These images were co-registered with three-dimensional MR images using semi-automated technique for correlation using a point-to-point method established in our group. WMH and NAWM ROIs from MRI were submitted to quantitative histological analysis based on optical density color-deconvolution technique. Histological section were stained in hematoxylin-eosin (HE) , Kluver-Barrera (KB) , galloccyanin (GALL), anti-neurofilament (anti-NF) , anti-basic myelin protein (anti-MBP) and anti-glial fibrillary acidic protein (anti-GFAP). RESULTS: The mean FA values were 0.40±0.12 in WMH, and 0.52±0.15 in NAWM. ADC in WMH was 0.1290±0.04, x10-3mm2/s and 0.1081± 0.03 x10-3mm2/s in NAWM. MTR was 51.59± 0.88% in WMH, and 52.88±4.09% in NAWM. RT2 was 91.79±1.95% in WMH, and 69.94±4.54% in NAWM. FA, ADC and RT2 values were different between WMH and NAWM in a non-parametric analysis. On the quantitative histological analysis, the HE was 162.9±20.0 in WMH , and 163.3±20.4% in NAWM. GALL values at WMH was 181.8±4.36 and 167.11±20.65 at NAWM. KB was 168.9±19.08 in WMH, and 182.82±20.65 at NAWM. NF mean were 131.6 ±12.23 in WMH, and 128.03 ±14.74 at NAWM. MBP was 153.9±13.67 at WMH, and 153.18±12.69 at NAWM. Only GFAP values were different between WMH and NAWM. Mean GFAP was 94.61±7.85 in WMH, and 81.23±6.29 at NAWM. Non-parametric test (Spearman) between MR images and histology, showed correlation only for FA vs GFAP (r=-0.594, p < 0.005). DISCUSSION AND CONCLUSIONS: DTI FA and ADC parameters (and RT2 values) showed different patterns in WMH compared to NAWM, indicating that MR images acquired post-mortem may serve to understand the structural changes of the brain tissue. The presence of gliosis is a pathological process seems to be related to FA value from DTI

Introdução: Os transtornos depressivos constituem um problema de saúde pública na terceira idade, e estima-se que a depressão será uma das três principais causas de sobrecarga de doença no mundo nas próximas decadas. Métodos de neuroimagem têm sido amplamente utilizados em estudos de depressão em idosos, pois são técnicas não invasivas que permitem a detecção de alterações cerebrais estruturais e funcionais. Fração de Anisotropia (FA) e Difusividade Média (MD) são índices indiretos da integridade micro-estrutural da substância branca, mensurados através de imagens de tensor de difusão (DTI). A maioria dos estudos a respeito de depressão e neuroimagem tem focado apenas em possíveis diferenças em regiões de interesse (ROI) previamente determinadas. Pesquisas sobre depressão em idosos e as alterações estruturais por tensor de difusão em todo o cérebro são escassos. O objetivo deste estudo foi investigar a existência de alterações nos parâmetros de FA ou MD em todo o cérebro, sem uma região de interesse previamente definida, comparando idosos deprimidos a idosos sem depressão. Métodos: Exames de imagem cerebral por ressonância magnética foram obtidos de 47 idosos deprimidos (idade média=70,94 ± 6,98), segundo critérios diagnósticos do DSM-IV, e 36 idosos sem depressão (idade média=69,39 ± 7,21) (p=0,32). O exame de neuroimagem dos sujeitos foi realizado em aparelho de ressonância magnética (RM) de 1,5 T, (TE mínimo, TR=10000ms, FOV=26, matriz=128x128, espessura=5mm). Os parâmetros de difusão das imagens de RM foram obtidos a partir de 25 direções não colineares com um b-valor de 1000s/mm2 juntamente com imagem sem gradientes de difusão b=0. Antes da aquisição dos exames de imagem, um psiquiatra administrou os seguintes testes: Mini-Exame do Estado Mental (MEEM), Teste Cognitivo Cambridge (CAMCOG), Escala Montgomery-Aberg de Depressão (MADRS) e Escala de Depressão de Hamilton (HAM-D). Não foram encontradas diferenças significativas nos dados demográficos entre os grupos. A análise estatística baseada no voxel dos dados de FA foi realizada com uso da ferramenta TBSS, parte do programa FSL, que projeta a FA de cada indivíduo em um esqueleto de FA média antes de aplicar a análise estatística baseada no voxel entre os sujeitos da amostra. Diferenças entre os grupos foram controladas para idade. Resultados: Os escores médios da avaliação cognitiva para o grupo de idosos deprimidos foram: CAMCOG=82,94 ± 13,95 e MEEM=25,21 ± 3,74; e para o grupo controle: CAMCOG=90,83 ± 8,88 (p=0,017) e MEEM=27,86 ± 1,99 (p=0,004). Quanto às escalas de sintomatologia depressiva, tem-se no grupo de idosos deprimidos: MADRS=23,23 ± 8,60 HAM-D=18,64 ± 6,17; e no grupo de idosos sem depressão: MADRS=1,39 ± 1,20, HAM-D=2,67 ± 1,57. Após o ajuste por idade, o grupo de idosos deprimidos não apresentou diferenças significativas nos parâmetros de FA e de MD. Os escores da avaliação cognitiva (CAMCOG e MEEM) não se correlacionaram significativamente aos parâmetros de FA nem de MD. Resultados semelhantes foram obtidos após a correlação com escores das escalas de sintomatologia depressiva (MADRS e HAM-D). Conclusão: Não houve diferença significativa, na amostra estudada, dos parâmetros de FA ou MD entre os idosos deprimidos e idosos sem depressão quando o cérebro é analisado sem a utilização de ROI. Não houve correlação, na presente amostra, entre avaliação cognitiva e FA ou MD nem entre gravidade da depressão e estes parâmetros de avaliação de alteração de substância branca / Introduction: Depressive disorders constitute a public health problem in old age, and depression is projected to be one of the three leading causes of burden of disease worldwide in the next decades. Neuroimaging methods have been widely used in studies of depression in the elderly, because they are noninvasive techniques that allow the detection of structural and functional brain changes. Fractional Anisotropy (FA) and Mean Diffusivity (MD) are neuroimaging index of micro-structural white matter integrity, measured using diffusion tensor imaging. Most studies investigating depression and neuroimaging have focused only in possible differences in regions of interesting (ROI) previously selected. Studies investigating correlation between elderly depression and structural alterations measured by diffusion tensor in the whole brain are scarce. The aim of this study was to investigate the existence of FA or MD differences in the whole brain, without a region of interest previously determined, between elderly depressed and elderly without depression. Methods: Brain magnetic resonance imaging scans were obtained on 47 elderly depressed subjects (mean age=70.9 ± 6.9), according to DSM-IV criteria, and 36 healthy elderly controls (mean age=69.4 ± 7.2) (p=0.32). Scanning of subjects was performed on a 1,5T MRI scanner (TE minimum, TR=10000ms, FOV=26, matrix=128x128, section thickness=5mm). Diffusion MR images were obtained from 25 non-colinear directions with a b-value of 1000 s/mm2 along with a b=0 image with no diffusion gradients. Before MRI acquisition, a psychiatrist administered the following psychiatric tests: Cambridge Cognitve Test Examination (CAMCOG), Mini-Mental State Examination (MMSE), Montgomery-Aberg Depression Rating Scale (MADRS), and Hamilton Rating Scale of Depression (HAM-D). No significant differences were found on demographic data between groups. Voxelwise statistical analysis of FA data was carried out using Tract-Based Spatial Statistics (TBSS), part of FSL program. TBSS projects all subjects\' FA data onto a mean FA tract skeleton, before applying voxelwise cross-subject statistics. Differences between groups were assessed controlling for age. Results: The mean score from cognitive assessment for the whole depression group was: CAMCOG=82,94 ± 13,95 and MMSE=25,21 ± 3,74; and for controls: CAMCOG=90,83 ± 8,88 (p=0,017) and MMSE=27,86 ± 1,99 (p=0,004). Results of depressive symptom assessment for the patient group were MADRS=23.23 ± 8.60 HAM-D=18.64 ± 6.17 and MADRS=1.39 ± 1.20, HAM-D=2.67 ± 1.57 for control group. After controlling for age, geriatric depressed subjects had no significant differences on FA and on MD parameters. No significant correlations were found between scores from cognitive tests (CAMCOG and MMSE), and FA or MD parameters. Similar results were obtained after correlating scores from scales measuring depressive symptoms (MADRS and HAM-D) and FA or MD parameters. Conclusions: There was no significant difference in FA or MD values between elderly depressed and elderly without depression when the brain is analyzed without a ROI previously determined. There was no correlation, in the present sample, between cognitive assessment and FA or MD, neither between severity of depression and these brain white matter parameters

INTRODUÇÃO: Imagens por tensores de difusão (diffusion tensor imaging - DTI) do cérebro são parte fundamental de exames de ressonância magnética (RM) na rotina clínica. Entretanto, não há informação científica suficiente para inferir a base histológica de parâmetros de imagens de DTI. Um dos achados frequentes nos exames de RM são as áreas de alteração de sinal na substância branca (AASSB). Neste estudo, analisamos imagens de RM post-mortem, em particular as AASSB, e seus correlatos histológicos e imuno-histoquímicos. OBJETIVOS: Descrever os parâmetros quantitativos de imagens de DTI imagens obtidas in cranio post-mortem, comparar com parâmetros de relaxometria e transferência de magnetização e avaliar seus correlatos histológicos nas AASSB e AHAN, utilizando técnicas de correspondência espacial ponto-a-ponto. MÉTODOS: Analisamos áreas distribuídas na substância branca de encéfalos de quatro sujeitos submetidos ao exame de RM post-mortem, aproximadamente 12,87 horas (±2,59). A RM foi realizada em sistema com campo de 3,0 T, sendo utilizadas imagens FLAIR; T2 multi-eco, DTI, Densidade de Prótons para cálculo da taxa de transferência de magnetização (magnetization transfer ratio - MTR). Foram delimitadas regiões de interesse (ROI) em 20 áreas contendo AASSB e 20 áreas homólogas aparentemente normais (AHAN). Para cada área, foram obtidos valores de anisotropia fracional (FA), coeficiente de difusão aparente (ADC), MTR e tempo T2. Os encéfalos foram seccionados em fatias de 0,4mm e fotografados em alta resolução. Estas imagens foram co-registradas tridimensionalmente com as imagens de RM, utilizando técnica semi-automatizada para correlação ponto-a-ponto. Os fragmentos analisados foram corados por hematoxilina-eosina (HE), Kluverx Barrera (KB), galocianina (GALL), anti-neurofilamento (anti-NF), antiproteína básica de mielina (anti-MBP) e anti-proteína ácida fibrilar glial (anti- GFAP). RESULTADOS: Os valores de FA foram 0,40 ±0,12 nas AASSB, e 0,52±0,15 nas AHAN. Os valores de ADC foram nas AASSB de 0,129±0,04 x 10-3mm2/s, e 0,108±0,03 x10-3mm2/s nas AHAN. Os valores de MTR foram 51,59±0,88 % nas AASSB, e 52,88±4,09 % nas AHAN. Os valores de RT2 foram 91,79±1,95 % nas AASSB, e 69,94±4,54 % nas AHAN. Os valores de HE foram 162,9±20,0 nas AASSB, e 163,3±20,4 nas AHAN. Os valores de GALL foram de 181,8±4,36 nas AASSB, e 167,11±20,65 nas AHAN. Os valores de KB foram de 168,9±19,08 nas AASSB, e 182.82±20,65 nas AHAN. Os valores de NF médios mensurados foram de 131,6±12,23 nas AASSB, e 128,03±4,74 nas AHAN. Os valores de MBP médios mensurados foram de 153,9 ±13,67 nas AASSB, e 153,18±12,69 nas AHAN. Os valores de GFAP médios mensurados foram de 94.61±7,85 nas AASSB, e 81,23±6,29 nas AHAN. Os testes não paramétricos de correlação (Spearman) entre variáveis de imagens de RM e histologia apresentaram correlação apenas entre FA e GFAP (r=-0,59; p < 0,005). DISCUSSÃO E CONCLUSÕES: De acordo com os resultados obtidos, podemos inferir que a presença de gliose é um processo patológico que pode ser detectado utilizando os parâmetros de FA nas imagens de DTI. Os resultados apresentados demonstram que imagens de RM adquiridas post-mortem podem servir para compreender melhor as alterações estruturais do tecido cerebral / BACKGROUND: Diffusion tensor imaging (DTI) is part of magnetic resonance imaging (MRI) acquisition methods available in clinical exams. However, there are not enough scientific basis to infer the histological substract of DTI parameters. White matter hyperintensities (WMH) are frequent findings in clinical MRI routine. In the last years, scientific evidences show that these injuries are not just age-related benign changes, but they could be associated to pathological processes. In this study we analyzed post-mortem MRI DTI data, specifically investigating WMH, their histological and immunohistochemical correlates. OBJECTIVES : At present study, we aimed to analyze quantifiable DTI parameters - Fractional Anisotropy (FA) and Apparent Diffusion Coefficient (ADC) - relaxometry (RT2) and magnetization transfer ratio (MTR) in WMH compared and normal appearing white matter (NAWM) from images obtained postmortem and in situ, and assess their histological substracts at WMH and NAWM using a point-topoint correlation platform. METHODS : We analyzed 20 regions of interest (ROI) encompassing WMH and NAWM selected from four subjects using in situ post-mortem MRI data acquired in 3.0T MR system. The subjects were scanned with a post-mortem interval of approximately 12h54m (±2h36m). The MRI analysis included 3D T1, FLAIR; multi-echo T2, DTI, and proton density to calculate the rate of magnetization transfer (magnetization transfer ratio - MTR). In each ROI we obtained measures of FA, ADC, RT2 and MTR. Brain specimens were posteriorly fixed in celloidin, sectioned into 0.4mm slices and photographed in high resolution. These images were co-registered with three-dimensional MR images using semi-automated technique for correlation using a point-to-point method established in our group. WMH and NAWM ROIs from MRI were submitted to quantitative histological analysis based on optical density color-deconvolution technique. Histological section were stained in hematoxylin-eosin (HE) , Kluver-Barrera (KB) , galloccyanin (GALL), anti-neurofilament (anti-NF) , anti-basic myelin protein (anti-MBP) and anti-glial fibrillary acidic protein (anti-GFAP). RESULTS: The mean FA values were 0.40±0.12 in WMH, and 0.52±0.15 in NAWM. ADC in WMH was 0.1290±0.04, x10-3mm2/s and 0.1081± 0.03 x10-3mm2/s in NAWM. MTR was 51.59± 0.88% in WMH, and 52.88±4.09% in NAWM. RT2 was 91.79±1.95% in WMH, and 69.94±4.54% in NAWM. FA, ADC and RT2 values were different between WMH and NAWM in a non-parametric analysis. On the quantitative histological analysis, the HE was 162.9±20.0 in WMH , and 163.3±20.4% in NAWM. GALL values at WMH was 181.8±4.36 and 167.11±20.65 at NAWM. KB was 168.9±19.08 in WMH, and 182.82±20.65 at NAWM. NF mean were 131.6 ±12.23 in WMH, and 128.03 ±14.74 at NAWM. MBP was 153.9±13.67 at WMH, and 153.18±12.69 at NAWM. Only GFAP values were different between WMH and NAWM. Mean GFAP was 94.61±7.85 in WMH, and 81.23±6.29 at NAWM. Non-parametric test (Spearman) between MR images and histology, showed correlation only for FA vs GFAP (r=-0.594, p < 0.005). DISCUSSION AND CONCLUSIONS: DTI FA and ADC parameters (and RT2 values) showed different patterns in WMH compared to NAWM, indicating that MR images acquired post-mortem may serve to understand the structural changes of the brain tissue. The presence of gliosis is a pathological process seems to be related to FA value from DTI

This thesis examines the advantages to nonlinear least-squares (NLS) fitting of diffusion-weighted MRI data over the commonly used linear least-squares (LLS) approach. A modified fitting algorithm is proposed which accounts for the positive bias experienced in magnitude images at low SNR. For b-values in the clinical range (~1000 s/mm2), the increase in precision of FA and fibre orientation estimates is almost negligible, except at very high anisotropy. The optimal b-value for estimating tensor parameters was slightly higher for NLS. The primary advantage to NLS was improved performance at high b-values, for which complex fibre architectures were more easily resolved. This was demonstrated using a model-selection classifier based on higher-order diffusion models. Using a b-value of 3000 s/mm2 and magnitude-corrected NLS fitting, at least 10% of voxels in the brain exhibited diffusion profiles which could not be represented by the tensor model.

This thesis examines the advantages to nonlinear least-squares (NLS) fitting of diffusion-weighted MRI data over the commonly used linear least-squares (LLS) approach. A modified fitting algorithm is proposed which accounts for the positive bias experienced in magnitude images at low SNR. For b-values in the clinical range (~1000 s/mm2), the increase in precision of FA and fibre orientation estimates is almost negligible, except at very high anisotropy. The optimal b-value for estimating tensor parameters was slightly higher for NLS. The primary advantage to NLS was improved performance at high b-values, for which complex fibre architectures were more easily resolved. This was demonstrated using a model-selection classifier based on higher-order diffusion models. Using a b-value of 3000 s/mm2 and magnitude-corrected NLS fitting, at least 10% of voxels in the brain exhibited diffusion profiles which could not be represented by the tensor model.

Attention deficit/hyperactivity disorder (ADHD) is a common disease with a worldwide prevalence of 5% on preschool children. It has been reported that ADHD patients have volume variant in partial brain regions. Futhermore, functional magnetic resonance imaging have also been used to detect function variant possibility in particular brain regions. In the last decade, some researchers used diffusion MR imaging to investigate the abnormality of neural fibers in disease involved with central nervous system. In general, the diffusion anisotropy of white matter in both ADHD patients and healthy subjects can be estimated seperately to undergo inter-subject comparison. While previous studies often used the popular ICBM brain template (MNI152), this study applied a self-made template of Taiwan adolescents as the common space of image normailization. In this work, group comparison of diffusion fractional anisotropy was performing by using two methods, TBSS and VBM. Both manners found a decreased FA in white matter of ADHD subjects compared with normal control group. However, regions detected by different methods showed low reproducibility. The areas of significant difference include inferior longitudinal fasciculus¡Binternal capsule¡Bexternal capsule¡Bsuperior longitudinal fasciculus¡Boptic radiation¡Bsuperior frontal¡Bsuperior region of corona radiata¡Bcorticospinal tract¡Bposterior region of corona radiata / superior longitudinal fasciculus¡Bsuperior fronto-occipital fasciculus¡Banterior region of corona radiata¡Bgenu of corpus callosum nerve fibers.

Attention deficit hyperactivity disorder (ADHD) is a neurobehavior developmental disorder that affects around 7.5% of Taiwan children. With the use of magnetic resonance imaging , many results have been reported that ADHD patients have volume atrophy in gray matter and dysfunction in couples of cortical regions. In recent years, diffusion MR imaging with diffusion-sensitizing gradients has been used to investigate the abnormality of neural fibers in disease involved with central nervous system. In this study, the anisotropy of white matter in both ADHD patients and age-matched healthy subjects was estimated using diffusion tensor imaging to undergo inter-subject comparison. In this work, a significant decrease (FWE-corrected p-value <0.05) of FA values has been found in white matter of adolescents diagnosed as ADHD patients, compared with normal controls group. The areas that confirmed by two different algorithms of inter-subject comparison are mainly diffused on white matter region, including middle cerebellar peduncle, left inferior longitudinal fasciculus, internal capsule, left optic radiation, external capsule, splenium of the corpus callosum, superior longitudinal fasciculus, superior frontal and parietal-occipital nerve fibers.

Diffusion tensor imaging (DTI) is a noninvasive MRI technique used to assess white matter (WM) integrity, fiber orientation, and structural connectivity (SC) using water diffusion properties. DTI techniques are rapidly evolving and are now having a dramatic effect on depression research. Major depressive disorder (MDD) is highly prevalent and a leading cause of worldwide disability. Despite decades of research, the neurobiology of MDD remains poorly understood. MDD is increasingly viewed as a disorder of neural circuitry in which a network of brain regions involved in mood regulation is dysfunctional. In an effort to better understand the neurobiology of MDD and develop more effective treatments, much research has focused on delineating the structure of this mood regulation network. Although many studies have focused on the structural connectivity of the mood regulation network, findings using DTI are highly variable, likely due to many technical and analytical limitations. Further, structural connectivity pattern analyses have not been adequately utilized in specific clinical contexts where they would likely have high relevance, e.g., the use of white matter deep brain stimulation (DBS) as an investigational treatment for depression. In this dissertation, we performed a comprehensive analysis of structural WM integrity in a large sample of depressed patients and demonstrated that disruption of WM does not play a major role in the neurobiology of MDD. Using graph theory analysis to assess organization of neural network, we elucidated the importance of the WM network in MDD. As an extension of this WM network analysis, we identified the necessary and sufficient WM tracts (circuit) that mediate the response of subcallosal cingulate cortex DBS treatment for depression; this work showed that such analyses may be useful in prospective target selection. Collectively, these findings contribute to better understanding of depression as a neural network disorder and possibly will improve efficacy of SCC DBS.