962 resultados para Brain Diseases.
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OBJECTIVE To describe the clinical spectrum, diagnostic evaluation, current management, and neurologic outcome of pediatric antibody-associated inflammatory brain diseases (AB-associated IBrainD). METHODS We performed a single-center retrospective cohort study of consecutive patients aged ≤18 years diagnosed with an AB-associated IBrainD at The Hospital for Sick Children, Toronto, Ontario, Canada, between January 2005 and June 2013. Standardized clinical data, laboratory test results, neuroimaging features, and treatment regimens were captured. RESULTS Of 169 children (93 female, 55%) diagnosed with an IBrainD, 16 (10%) had an AB-associated IBrainD. Median age at presentation was 13.3 years (range 3.1-17.9); 11 (69%) were female. Nine patients (56%) had anti-NMDA receptor encephalitis, 4 (25%) had aquaporin-4 autoimmunity, 2 (13%) had Hashimoto encephalitis, and 1 (6%) had anti-glutamic acid decarboxylase 65 (GAD65) encephalitis. The key presenting features in children with anti-NMDA receptor encephalitis, Hashimoto encephalopathy, and anti-GAD65 encephalitis included encephalopathy, behavioral symptoms, and seizures; patients with aquaporin-4 autoimmunity showed characteristic focal neurologic deficits. Six patients (38%) required intensive care unit admission at presentation. Median time from symptom onset to diagnosis was 55 days (range 6-358). All but 1 patient received immunosuppressive therapy. One child with anti-NMDA receptor encephalitis died due to multiorgan failure. At last follow-up, after a median follow-up time of 1.7 years (range 0.8-3.7), 27% of the children had function-limiting neurologic sequelae. CONCLUSIONS Children with AB-associated IBrainD represent an increasing subgroup among IBrainD; 1 in 4 children has function-limiting residual neurologic deficits. Awareness of the different clinical patterns is important in order to facilitate timely diagnosis and initiate immunosuppressive treatment.
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In this review, we discuss recent work by the ENIGMA Consortium (http://enigma.ini.usc.edu) - a global alliance of over 500 scientists spread across 200 institutions in 35 countries collectively analyzing brain imaging, clinical, and genetic data. Initially formed to detect genetic influences on brain measures, ENIGMA has grown to over 30 working groups studying 12 major brain diseases by pooling and comparing brain data. In some of the largest neuroimaging studies to date - of schizophrenia and major depression - ENIGMA has found replicable disease effects on the brain that are consistent worldwide, as well as factors that modulate disease effects. In partnership with other consortia including ADNI, CHARGE, IMAGEN and others(1), ENIGMA's genomic screens - now numbering over 30,000 MRI scans - have revealed at least 8 genetic loci that affect brain volumes. Downstream of gene findings, ENIGMA has revealed how these individual variants - and genetic variants in general - may affect both the brain and risk for a range of diseases. The ENIGMA consortium is discovering factors that consistently affect brain structure and function that will serve as future predictors linking individual brain scans and genomic data. It is generating vast pools of normative data on brain measures - from tens of thousands of people - that may help detect deviations from normal development or aging in specific groups of subjects. We discuss challenges and opportunities in applying these predictors to individual subjects and new cohorts, as well as lessons we have learned in ENIGMA's efforts so far.
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den Dunnen et al. [den Dunnen, W.F.A., Brouwer, W.H., Bijlard, E., Kamphuis, J., van Linschoten, K., Eggens-Meijer, E., Holstege, G., 2008. No disease in the brain of a 115-year-old woman. Neurobiol. Aging] had the opportunity to follow up the cognitive functioning of one of the world's oldest woman during the last 3 years of her life. They performed two neuropsychological evaluations at age 112 and 115 that revealed a striking preservation of immediate recall abilities and orientation. In contrast, working memory, retrieval from semantic memory and mental arithmetic performances declined after age 112. Overall, only a one-point decrease of MMSE score occurred (from 27 to 26) reflecting the remarkable preservation of cognitive abilities. The neuropathological assessment showed few neurofibrillary tangles (NFT) in the hippocampal formation compatible with Braak staging II, absence of amyloid deposits and other types of neurodegenerative lesions as well as preservation of neuron numbers in locus coeruleus. This finding was related to a striking paucity of Alzheimer disease (AD)-related lesions in the hippocampal formation. The present report parallels the early descriptions of rare "supernormal" centenarians supporting the dissociation between brain aging and AD processes. In conjunction with recent stereological analyses in cases aged from 90 to 102 years, it also points to the marked resistance of the hippocampal formation to the degenerative process in this age group and possible dissociation between the occurrence of slight cognitive deficits and development of AD-related pathologic changes in neocortical areas. This work is discussed in the context of current efforts to identify the biological and genetic parameters of human longevity.
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A spectral angle based feature extraction method, Spectral Clustering Independent Component Analysis (SC-ICA), is proposed in this work to improve the brain tissue classification from Magnetic Resonance Images (MRI). SC-ICA provides equal priority to global and local features; thereby it tries to resolve the inefficiency of conventional approaches in abnormal tissue extraction. First, input multispectral MRI is divided into different clusters by a spectral distance based clustering. Then, Independent Component Analysis (ICA) is applied on the clustered data, in conjunction with Support Vector Machines (SVM) for brain tissue analysis. Normal and abnormal datasets, consisting of real and synthetic T1-weighted, T2-weighted and proton density/fluid-attenuated inversion recovery images, were used to evaluate the performance of the new method. Comparative analysis with ICA based SVM and other conventional classifiers established the stability and efficiency of SC-ICA based classification, especially in reproduction of small abnormalities. Clinical abnormal case analysis demonstrated it through the highest Tanimoto Index/accuracy values, 0.75/98.8%, observed against ICA based SVM results, 0.17/96.1%, for reproduced lesions. Experimental results recommend the proposed method as a promising approach in clinical and pathological studies of brain diseases
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Apert Syndrome, also called acrocephalosyndactylia type 1, is characterized by craniostenosis with early fusion of sutures of the vault and/ or cranial base, associated to mid-face hypoplasia, symmetric syndactylia of the hands and feet and other systemic malformations. CNS malformations and intracranial hypertension are frequently observed in these patients. Early surgical treatment aims to minimize the deleterious effects of intracranial hypertension. Fronto-orbital advancement, the usual surgical technique, increases the intracranial volume and improves the disposition of encephalic structures previously deformed by a short skull. This study analyzes CNS alterations revealed by magnetic resonance in 18 patients presenting Apert Syndrome, and the conformational alterations in the encephalic structures after surgical treatment. The patients' age in February 2001 ranged from 14 to 322 months (m=107). Image study included brain magnetic resonance showing ventricular enlargement in five cases (27.8%), corpus callosum hypoplasia in five cases (27.8%), septum pellucidum hypoplasia in five cases (27.8%), cavum vergae in two cases (11.1%) and, arachnoid cyst in the posterior fossa in two cases (11.1%). Absence of CNS alterations was noted in 44.4% of cases. A corpus callosum morphologic index was established by dividing its height by its length, which revealed values that ranged from 0.4409 to 1.0237. The values of this index were correlated to the occurrence or absence of surgical treatment (p=0.012; t=2.83). Data analysis allowed the conclusion that the corpus callosum morphologic measure quantified the conformational alterations of the cerebral structures determined by the surgical treatment.
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Microglial involvement in neurological disorders is well-established, being microglial activation not only associated with neurotoxic consequences, but also with neuroprotective effects. The studies presented here, based on microglia rat primary cell cultures and mainly on microglial conditioned medium (MCM), show insights into the mechanism of Superoxide dismutase 1 (SOD1) and Apolipoprotein E (ApoE) secretion by microglia as well as their neuroprotective effect towards primary cerebellar granule neurons (CGNs) exposed to the dopaminergic toxin 6-hydroxydopamine (6-OHDA). SOD1 and ApoE are released respectively through non-classical lysosomal or the classical ER/Golgi-mediated secretion pathway. Microglial conditioned medium, in which SOD1 and ApoE accumulated, protected CGNs from degeneration and these effects were replicated when exogenous SOD1 or ApoE was added to a non-conditioned medium. SOD1 neuroprotective action was mediated by increased cell calcium from an external source. ApoE release is negatively affected by microglia activation, both with lipopolysaccharide (LPS) and Benzoylbenzoyl-ATP (Bz-ATP) but is stimulated by neuronal-conditioned medium as well as in microglia-neurons co-culture conditions. This neuronal-stimulated microglial ApoE release is differently regulated by activation states (i.e. LPS vs ATP) and by 6-hydroxydopamine-induced neurodegeneration. In co-culture conditions, microglial ApoE release is essential for neuroprotection, since microglial ApoE silencing through siRNA abrogated protection of cerebellar granule neurons against 6-OHDA toxicity. Therefore, these molecules could represent a target for manipulation aimed at promoting neuroprotection in brain diseases. Considering a pathological context, and the microglial ability to adopt a neuroprotective or neurotoxic profile, we characterize the microglial M1/M2 phenotype in transgenic rats (McGill-R-Thy1-APP) which reproduce extensively the Alzheimer’s-like amyloid pathology. Here, for the first time, cortical, hippocampal and cerebellar microglia of wild type and transgenic adult rats were compared, at both early and advanced stages of the pathology. In view of possible therapeutic translations, these findings are relevant to test microglial neuroprotection, in animal models of neurodegenerative diseases.
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Brain disease is an important cause of neurologic deficits in small ruminants, however few MRI features have been described. The aim of this retrospective, case series study was to describe MRI characteristics in a group of small ruminants with confirmed brain disease. A total of nine small ruminants (six sheep and three goats) met inclusion criteria. All had neurologic disorders localized to the brain and histopathologic confirmation. In animals with toxic-metabolic diseases, there were bilaterally symmetric MRI lesions affecting either the gray matter (one animal with polioencephalomalacia) or the white matter (two animals with enterotoxemia). In animals with suppurative inflammation, asymmetric focal brainstem lesions were present (two animals with listeric encephalitis), or lesions typical of an intra-axial (one animal) or dural abscess (one animal), respectively. No MRI lesions were detected in one animal with suspected viral cerebellitis and one animal with parasitic migration tracts. No neoplastic or vascular lesions were identified in this case series. Findings from the current study supported the use of MRI for diagnosing brain diseases in small ruminants.
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Xq28 duplications encompassing MECP2 have been described in male patients with a severe neurodevelopmental disorder associated with hypotonia and spasticity, severe learning disability, stereotyped movements, and recurrent pulmonary infections. We report on standardized brain magnetic resonance imaging (MRI) data of 30 affected patients carrying an Xq28 duplication involving MECP2 of various sizes (228 kb to 11.7 Mb). The aim of this study was to seek recurrent malformations and attempt to determine whether variations in imaging features could be explained by differences in the size of the duplications. We showed that 93% of patients had brain MRI abnormalities such as corpus callosum abnormalities (n = 20), reduced volume of the white matter (WM) (n = 12), ventricular dilatation (n = 9), abnormal increased hyperintensities on T2-weighted images involving posterior periventricular WM (n = 6), and vermis hypoplasia (n = 5). The occipitofrontal circumference varied considerably between >+2SD in five patients and <-2SD in four patients. Among the nine patients with dilatation of the lateral ventricles, six had a duplication involving L1CAM. The only patient harboring bilateral posterior subependymal nodular heterotopia also carried an FLNA gene duplication. We could not demonstrate a correlation between periventricular WM hyperintensities/delayed myelination and duplication of the IKBKG gene. We thus conclude that patients with an Xq28 duplication involving MECP2 share some similar but non-specific brain abnormalities. These imaging features, therefore, could not constitute a diagnostic clue. The genotype-phenotype correlation failed to demonstrate a relationship between the presence of nodular heterotopia, ventricular dilatation, WM abnormalities, and the presence of FLNA, L1CAM, or IKBKG, respectively, in the duplicated segment.
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Aberrant connectivity is implicated in many neurological and psychiatric disorders, including Alzheimer's disease and schizophrenia. However, other than a few disease-associated candidate genes, we know little about the degree to which genetics play a role in the brain networks; we know even less about specific genes that influence brain connections. Twin and family-based studies can generate estimates of overall genetic influences on a trait, but genome-wide association scans (GWASs) can screen the genome for specific variants influencing the brain or risk for disease. To identify the heritability of various brain connections, we scanned healthy young adult twins with high-field, highangular resolution diffusion MRI. We adapted GWASs to screen the brain's connectivity pattern, allowing us to discover genetic variants that affect the human brain's wiring. The association of connectivity with the SPON1 variant at rs2618516 on chromosome 11 (11p15.2) reached connectome-wide, genome-wide significance after stringent statistical corrections were enforced, and it was replicated in an independent subsample. rs2618516 was shown to affect brain structure in an elderly population with varying degrees of dementia. Older people who carried the connectivity variant had significantly milder clinical dementia scores and lower risk of Alzheimer's disease. As a posthoc analysis, we conducted GWASs on several organizational and topological network measures derived from the matrices to discover variants in and around genes associated with autism (MACROD2), development (NEDD4), and mental retardation (UBE2A) significantly associated with connectivity. Connectome-wide, genome-wide screening offers substantial promise to discover genes affecting brain connectivity and risk for brain diseases.
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Several common genetic variants influence cholesterol levels, which play a key role in overall health. Myelin synthesis and maintenance are highly sensitive to cholesterol concentrations, and abnormal cholesterol levels increase the risk for various brain diseases, including Alzheimer's disease. We report significant associations between higher serum cholesterol (CHOL) and high-density lipoprotein levels and higher fractional anisotropy in 403 young adults (23.8 ± 2.4years) scanned with diffusion imaging and anatomic magnetic resonance imaging at 4Tesla. By fitting a multi-locus genetic model within white matter areas associated with CHOL, we found that a set of 18 cholesterol-related, single-nucleotide polymorphisms implicated in Alzheimer's disease risk predicted fractional anisotropy. We focused on the single-nucleotide polymorphism with the largest individual effects, CETP (rs5882), and found that increased G-allele dosage was associated with higher fractional anisotropy and lower radial and mean diffusivities in voxel-wise analyses of the whole brain. A follow-up analysis detected white matter associations with rs5882 in the opposite direction in 78 older individuals (74.3 ± 7.3years). Cholesterol levels may influence white matter integrity, and cholesterol-related genes may exert age-dependent effects on the brain.
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17β-hydroxysteroid dehydrogenase 10 (HSD10) deficiency is a rare X-linked inborn error of isoleucine catabolism. Although this protein has been genetically implicated in Alzheimer's disease pathogenesis, studies of amyloid-β peptide (Aβ) in patients with HSD10 deficiency have not been previously reported. We found, in a severely affected child with HSD10 deficiency, undetectable levels of Aβ in the cerebrospinal fluid, together with low expression of brain-derived neurotrophic factor, α-synuclein, and serotonin metabolites. Confirmation of these findings in other patients would help elucidating mechanisms of synaptic dysfunction in this disease, and highlight the role of Aβ in both early and late periods of life.
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Des travaux récents démontrent que certains neurones dopaminergiques du mésencéphale ont la capacité de libérer du glutamate en plus de la dopamine (DA). Ce phénomène de « co-transmission » requiert l’expression du transporteur vésiculaire du glutamate de type 2 (VGLUT2) dans les neurones dopaminergiques. Certaines observations montrent que l’expression de VGLUT2 dans les neurones dopaminergiques survient tôt durant leur développement et est essentiellement limitée aux neurones de l’aire tegmentaire ventrale (VTA). De plus, cette libération de glutamate se retrouve principalement au niveau des terminaisons de ces neurones dans le striatum ventral, mais pas dans le striatum dorsal. Ces données suggèrent d’une part un rôle développemental possible du glutamate dans les neurones dopaminergiques, et d’autre part, que les signaux dérivés des neurones cibles puissent réguler le double phénotype des neurones dopaminergiques menant ainsi à une plasticité phénotypique. Par ailleurs, il est toujours inconnu si cette libération de glutamate se fait à partir des terminaisons qui relâchent la DA ou à partir de terminaisons axonales distinctes. De plus, le rôle physiologique de ce surprenant phénomène de co-transmission reste également inconnu. Ainsi, dans cette étude, nous avons d’abord démontré in vitro et in vivo que l’expression de VGLUT2 est nécessaire pour la survie et la croissance d’une sous-population de neurones dopaminergiques. En utilisant une lignée de souris ayant une délétion génique spécifique de VGLUT2 dans les neurones dopaminergiques, nous avons observé une diminution du nombre de terminaisons dopaminergiques et glutamatergiques dans le striatum, une baisse de libération de DA dans le striatum ventral, une diminution de la coordination motrice ainsi qu’une diminution de l’activité locomotrice induite par les drogues d’abus. D’autre part, nous avons démontré in vitro et in vivo que les neurones dopaminergiques au double phénotype établissent des terminaisons distinctes afin de relâcher le glutamate et la DA. De plus, nous démontrons que ce phénomène de ségrégation des sites de libération semble être induit par une interaction avec les neurones du striatum ventral. Ces travaux démontrent le rôle physiologique déterminant de la co-transmission DA-glutamate pour l’homéostasie du système DAergique et dévoile une caractéristique fondamentale de l’établissement des terminaisons axonales de ces neurones. Ces travaux permettent ainsi de mieux comprendre les rôles physiologiques de la co-libération de glutamate par les neurones du système nerveux central et présentent une nouvelle perspective sur les dysfonctions potentielles de ces neurones dans les maladies du cerveau.
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Actualment, en l'àmbit mèdic, la ressonància magnètica, MRI Magnetic Resonance Imaging, és un dels sistemes més utilitzats per a la realització de diagnòstics i el seguiment de l'evolució de malalties com l'esclerosi múltiple (EM). No obstant, la gran quantitat d'informació que proporciona aquesta modalitat té com a conseqüència una tasca feixuga d'anàlisi i d'interpretació per part dels radiòlegs i neuròlegs. L'objectiu general d'aquest projecte és desenvolupar un sistema per ajudar als metges a segmentar les imatges de MRI del cervell. S'ha implementat amb MATLAB. Durant tot el procés s'han utilitzat dades sintètiques, de la base de dades simulada BrainWeb, i reals, proporcionades pels grup de metges col•laboradors amb el grup VICOROB. El projecte s'emmarca dins d'un projecte de recerca del grup de Visió per Computador i Robòtica de la Universitat de Girona
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En Colombia como en otros países del mundo se está viviendo un proceso de transición epidemiológica y cada vez es más importante la población, aumentando el número de adultos mayores, en los que la depresión es una enfermedad que genera impacto en la morbililidad y mortalidad, y pocos estudios nacionales se han enfocado en analizar su comportamiento y sus factores asociados. Metodología: Estudio de corte transversal sobre los datos de la encuesta nacional de demografía y salud del año 2010 (ENDS 2010) que encuesto 50.000 hogares con 17.574 adultos mayores encuestados. Se realizó una regresión logística binaria y múltiple para establecer las variables asociadas a la depresión. Resultados: Se encontró una prevalencia global de 9,5%, siendo mayor para el sexo femenino (11,5%, OR =1,74), menor prevalencia de depresión a medida que aumenta la escolaridad (OR=0.14), mayor depresión en presencia de discapacidad (OR=14,21) y en las comorbilidades como enfermedades cerebrales (OR=2.09), cardiacas (OR=1.49), diabetes (OR=1.19), Alzheimer (OR=2,13) entre otras, no se encontró asociación con variables como edad, estado civil. Discusión: El comportamiento de la depresión en adultos mayores en la población estudiada es similar a la de otros países, se deben hacer estudios prospectivos y de intervención para establecer mejor las variables relacionadas.