993 resultados para Brain Mapping
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The visual cortex in each hemisphere is linked to the opposite hemisphere by axonal projections that pass through the splenium of the corpus callosum. Visual-callosal connections in humans and macaques are found along the V1/V2 border where the vertical meridian is represented. Here we identify the topography of V1 vertical midline projections through the splenium within six human subjects with normal vision using diffusion-weighted MR imaging and probabilistic diffusion tractography. Tractography seed points within the splenium were classified according to their estimated connectivity profiles to topographic subregions of V1, as defined by functional retinotopic mapping. First, we report a ventral-dorsal mapping within the splenium with fibers from ventral V1 (representing the upper visual field) projecting to the inferior-anterior corner of the splenium and fibers from dorsal V1 (representing the lower visual field) projecting to the superior-posterior end. Second, we also report an eccentricity gradient of projections from foveal-to-peripheral V1 subregions running in the anterior-superior to posterior-inferior direction, orthogonal to the dorsal-ventral mapping. These results confirm and add to a previous diffusion MRI study (Dougherty et al., 2005) which identified a dorsal/ventral mapping of human splenial fibers. These findings yield a more detailed view of the structural organization of the splenium than previously reported and offer new opportunities to study structural plasticity in the visual system.
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We have mapped the genes coding for two major structural polypeptides of the vaccinia virus core by hybrid selection and transcriptional mapping. First, RNA was selected by hybridization to restriction fragments of the vaccinia virus genome, translated in vitro and the products were immunoprecipitated with antibodies against the two polypeptides. This approach allowed us to map the genes to the left hand end of the largest Hind III restriction fragment of 50 kilobase pairs. Second, transcriptional mapping of this region of the genome revealed the presence of the two expected RNAs. Both RNAs are transcribed from the leftward reading strand and the 5'-ends of the genes are separated by about 7.5 kilobase pairs of DNA. Thus, two genes encoding structural polypeptides with a similar location in the vaccinia virus particle are clustered at approximately 105 kilobase pairs from the left hand end of the 180 kilobase pair vaccinia virus genome.
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Hyperammonemia can be caused by various acquired or inherited disorders such as urea cycle defects. The brain is much more susceptible to the deleterious effects of ammonium in childhood than in adulthood. Hyperammonemia provokes irreversible damage to the developing central nervous system: cortical atrophy, ventricular enlargement and demyelination lead to cognitive impairment, seizures and cerebral palsy. The mechanisms leading to these severe brain lesions are still not well understood, but recent studies show that ammonium exposure alters several amino acid pathways and neurotransmitter systems, cerebral energy metabolism, nitric oxide synthesis, oxidative stress and signal transduction pathways. All in all, at the cellular level, these are associated with alterations in neuronal differentiation and patterns of cell death. Recent advances in imaging techniques are increasing our understanding of these processes through detailed in vivo longitudinal analysis of neurobiochemical changes associated with hyperammonemia. Further, several potential neuroprotective strategies have been put forward recently, including the use of NMDA receptor antagonists, nitric oxide inhibitors, creatine, acetyl-L-carnitine, CNTF or inhibitors of MAPKs and glutamine synthetase. Magnetic resonance imaging and spectroscopy will ultimately be a powerful tool to measure the effects of these neuroprotective approaches.
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The human brain displays heterogeneous organization in both structure and function. Here we develop a method to characterize brain regions and networks in terms of information-theoretic measures. We look at how these measures scale when larger spatial regions as well as larger connectome sub-networks are considered. This framework is applied to human brain fMRI recordings of resting-state activity and DSI-inferred structural connectivity. We find that strong functional coupling across large spatial distances distinguishes functional hubs from unimodal low-level areas, and that this long-range functional coupling correlates with structural long-range efficiency on the connectome. We also find a set of connectome regions that are both internally integrated and coupled to the rest of the brain, and which resemble previously reported resting-state networks. Finally, we argue that information-theoretic measures are useful for characterizing the functional organization of the brain at multiple scales.
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The lithium-pilocarpine model mimics most features of human temporal lobe epilepsy. Following our prior studies of cerebral metabolic changes, here we explored the expression of transporters for glucose (GLUT1 and GLUT3) and monocarboxylates (MCT1 and MCT2) during and after status epilepticus (SE) induced by lithium-pilocarpine in PN10, PN21, and adult rats. In situ hybridization was used to study the expression of transporter mRNAs during the acute phase (1, 4, 12 and 24h of SE), the latent phase, and the early and late chronic phases. During SE, GLUT1 expression was increased throughout the brain between 1 and 12h of SE, more strongly in adult rats; GLUT3 increased only transiently, at 1 and 4h of SE and mainly in PN10 rats; MCT1 was increased at all ages but 5-10-fold more in adult than in immature rats; MCT2 expression increased mainly in adult rats. At all ages, MCT1 and MCT2 up-regulation was limited to the circuit of seizures while GLUT1 and GLUT3 changes were more widespread. During the latent and chronic phases, the expression of nutrient transporters was normal in PN10 rats. In PN21 rats, GLUT1 was up-regulated in all brain regions. In contrast, in adult rats GLUT1 expression was down-regulated in the piriform cortex, hilus and CA1 as a result of extensive neuronal death. The changes in nutrient transporter expression reported here further support previous findings in other experimental models demonstrating rapid transcriptional responses to marked changes in cerebral energetic/glucose demand.
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Behavioural symptoms such as abnormal emotionality (including anxious and depressive episodes) and cognition (for instance weakened decision-making) are highly frequent in both chronic pain patients and their animal models. The theory developed in the present article posits that alterations in glial cells (astrocytes and microglia) in cortical and limbic brain regions might be the origin of such emotional and cognitive chronic pain-associated impairments. Indeed, in mood disorders (unipolar depression, anxiety disorders, autism or schizophrenia) glial changes in brain regions involved in mood control (prefrontal and cingulate cortices, amygdala and the hippocampus) have been recurrently described. Besides, glial cells have been undoubtedly identified as key actors in the sensory component of chronic pain, owing to the profound phenotypical changes they undergo throughout the sensory pathway. Hence, the possibility arises that brain astrocytes and microglia react in upper brain structures as well, mediating the related mood and cognitive dysfunctions in chronic pain. So far, only very few studies have provided results in this prospect, mainly indirectly in pain-independent researches. Nevertheless, the first scant available data seem to merge in a unified description of a brain glial reaction occurring after chronic peripheral lesion. The present article uses this scarce literature to formulate the provocative theory of a glia-driven mood and cognitive dysfunction in chronic pain, expounding upon its validity and putative therapeutical impact as well as its current limitations and expected future developments.
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Glioblastoma multiforme is the most common and most malignant primary brain tumour with a dismal prognosis. The advent of new chemotherapies with alkylating agents crossing the blood-brain barrier, like temozolomide, have permitted to notably ameliorate the survival of a subgroup of patients. Improved outcome was associated with epigenetic silencing of the MGMT (O6-methylguanin methyltransferase) gene by promotor methylation, thereby blocking its repair capability, thus rendering the alkylating agents more effective. This particularity can be tested by methylation specific PCR on resected tumour tissue, best on fresh frozen biopsies, and allows identification of patients more susceptible to respond favourably to the treatment.
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The presence of three water channels (aquaporins, AQP), AQP1, AQP4 and AQP9 were observed in normal brain and several rodent models of brain pathologies. Little is known about AQP distribution in the primate brain and its knowledge will be useful for future testing of drugs aimed at preventing brain edema formation. We studied the expression and cellular distribution of AQP1, 4 and 9 in the non-human primate brain. The distribution of AQP4 in the non-human primate brain was observed in perivascular astrocytes, comparable to the observation made in the rodent brain. In contrast with rodent, primate AQP1 is expressed in the processes and perivascular endfeet of a subtype of astrocytes mainly located in the white matter and the glia limitans, possibly involved in water homeostasis. AQP1 was also observed in neurons innervating the pial blood vessels, suggesting a possible role in cerebral blood flow regulation. As described in rodent, AQP9 mRNA and protein were detected in astrocytes and in catecholaminergic neurons. However additional locations were observed for AQP9 in populations of neurons located in several cortical areas of primate brains. This report describes a detailed study of AQP1, 4 and 9 distributions in the non-human primate brain, which adds to the data already published in rodent brains. This relevant species differences have to be considered carefully to assess potential drugs acting on AQPs non-human primate models before entering human clinical trials.
Resumo:
Microtubule-associated protein 1b, previously also referred to as microtubule-associated protein 5 or microtubule-associated protein 1x, is a major component of the juvenile cytoskeleton, and is essential during the early differentiation of neurons. It is required for axonal growth and its function is influenced by phosphorylation. The distribution of microtubule-associated protein 1b in kitten cerebellum and cortex during postnatal development was studied with two monoclonal antibodies. Hybridoma clone AA6 detected a non-phosphorylated site, while clone 125 detected a site phosphorylated by casein-kinase II. On blots, both monoclonal antibodies stained the same two proteins of similar molecular weights, also referred to as microtubule-associated protein 5a and 5b. Antibody 125 detected a phosphorylated epitope on both microtubule-associated protein 1b forms; dephosphorylation by alkaline phosphatase abolished the immunological detection. During development of cat cortex and cerebellum, AA6 stained the perikarya and dendrites of neurons during their early differentiation, and especially labelled newly generated axons. The staining decreased during development, and axonal staining was reduced in adult tissue. In contrast to previous reports which demonstrated that antibodies against phosphorylated microtubule-associated protein 1b label exclusively axons, antibody 125 also localized microtubule-associated protein 1b in cell bodies and dendrites, even in adulthood. Some nuclear staining was observed, indicating that a phosphorylated form of microtubule-associated protein 1b may participate in nuclear function. These results demonstrate that microtubule-associated protein 1b is subject to CK2-type phosphorylation throughout neuronal maturation and suggest that phosphorylation of microtubule-associated protein 1b may participate in juvenile and mature-type microtubule functions throughout development.
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Recently, kernel-based Machine Learning methods have gained great popularity in many data analysis and data mining fields: pattern recognition, biocomputing, speech and vision, engineering, remote sensing etc. The paper describes the use of kernel methods to approach the processing of large datasets from environmental monitoring networks. Several typical problems of the environmental sciences and their solutions provided by kernel-based methods are considered: classification of categorical data (soil type classification), mapping of environmental and pollution continuous information (pollution of soil by radionuclides), mapping with auxiliary information (climatic data from Aral Sea region). The promising developments, such as automatic emergency hot spot detection and monitoring network optimization are discussed as well.
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Information used/presented during the Improving Transition Outcomes Resource Mapping Workshops
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Resource Mapping tool from the Improving Transition Outcomes Resource Mapping Workshops