19 research outputs found

    Imaging fast neural activity in the brain with Electrical Impedance Tomography

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    Electrical impedance tomography (EIT) is an emerging medical imaging technique that can be employed to reconstruct the internal conductivity of an object from measurements made on the boundary. One proposed application for EIT is in head imaging, including imaging of impedance changes that occur with neuronal depolarisation and the imaging of acute stroke. The work of this thesis was aimed at advancing the imaging of brain pathology and function, with particular focus on the imaging of fast neural activity. Chapter 1 is a review of other brain imaging techniques, the principles of bioimpedance and EIT, and of previous impedance recordings of fast neural activity. Chapter 2 was a comparison of reconstruction algorithms for the detection of acute stroke using EIT in a realistic head-shaped tank, which entailed assessing boundary voltage rejection methods and quantitative analysis of image quality to determine the best reconstruction algorithms for the detection of acute stroke. In chapter 3, an EIT imaging dataset of fast neural activity, previously collected in a rat model, was assessed using second-level statistical parametric mapping (SPM) and the spatio-temporal propagation of the activity assessed and compared to the neurophysiological literature, which was reviewed in chapter 1. The analysis undertaken in chapter 3 illustrated some key methodological issues, which were addressed in chapter 4: new high resolution meshes and better optimised matrix inversion were employed, a new algorithm for electrode alignment was developed, also the use of SPM was validated by applying it to control datasets and through the use of statistical non-parametric mapping. Chapters 5 and 6 detail work attempting to cross-validate the use of EIT to image fast neural activity by employing a physiological stimulus, mechanical whisker displacement, and comparing the findings to other neurophysiological techniques recorded in the same model. Chapter 5 details work to validate the model and the impedance findings in this model as compared to previously published neurophysiological results, while chapter 6 details the use of other neurophysiological techniques for cross-validation

    Imaging fast electrical activity in the brain with electrical impedance tomography.

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    Imaging of neuronal depolarization in the brain is a major goal in neuroscience, but no technique currently exists that could image neural activity over milliseconds throughout the whole brain. Electrical impedance tomography (EIT) is an emerging medical imaging technique which can produce tomographic images of impedance changes with non-invasive surface electrodes. We report EIT imaging of impedance changes in rat somatosensory cerebral cortex with a resolution of 2ms and <200μm during evoked potentials using epicortical arrays with 30 electrodes. Images were validated with local field potential recordings and current source-sink density analysis. Our results demonstrate that EIT can image neural activity in a volume 7×5×2mm in somatosensory cerebral cortex with reduced invasiveness, greater resolution and imaging volume than other methods. Modeling indicates similar resolutions are feasible throughout the entire brain so this technique, uniquely, has the potential to image functional connectivity of cortical and subcortical structures

    A method for reconstructing tomographic images of evoked neural activity with electrical impedance tomography using intracranial planar arrays

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    A method is presented for reconstructing images of fast neural evoked activity in rat cerebral cortex recorded with electrical impedance tomography (EIT) and a 6 × 5 mm(2) epicortical planar 30 electrode array. A finite element model of the rat brain and inverse solution with Tikhonov regularization were optimized in order to improve spatial resolution and accuracy. The optimized FEM mesh had 7 M tetrahedral elements, with finer resolution (0.05 mm) near the electrodes. A novel noise-based image processing technique based on t-test significance improved depth localization accuracy from 0.5 to 0.1 mm. With the improvements, a simulated perturbation 0.5 mm in diameter could be localized in a region 4 × 5 mm(2) under the centre of the array to a depth of 1.4 mm, thus covering all six layers of the cerebral cortex with an accuracy of <0.1 mm. Simulated deep brain hippocampal or thalamic activity could be localized with an accuracy of 0.5 mm with a 256 electrode array covering the brain. Parallel studies have achieved a temporal resolution of 2 ms for imaging fast neural activity by EIT during evoked activity; this encourages the view that fast neural EIT can now resolve the propagation of depolarization-related fast impedance changes in cerebral cortex and deeper in the brain with a resolution equal or greater to the dimension of a cortical column

    CpG-Methylation Regulates a Class of Epstein-Barr Virus Promoters

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    DNA methylation is the major modification of eukaryotic genomes and plays an essential role in mammalian gene regulation. In general, cytosine-phosphatidyl-guanosine (CpG)-methylated promoters are transcriptionally repressed and nuclear proteins such as MECP2, MBD1, MBD2, and MBD4 bind CpG-methylated DNA and contribute to epigenetic silencing. Methylation of viral DNA also regulates gene expression of Epstein-Barr virus (EBV), which is a model of herpes virus latency. In latently infected human B cells, the viral DNA is CpG-methylated, the majority of viral genes is repressed and virus synthesis is therefore abrogated. EBV's BZLF1 encodes a transcription factor of the AP-1 family (Zta) and is the master gene to overcome viral gene repression. In a genome-wide screen, we now identify and characterize those viral genes, which Zta regulates. Among them are genes essential for EBV's lytic phase, which paradoxically depend on strictly CpG-methylated promoters for their Zta-induced expression. We identified novel DNA recognition motifs, termed meZRE (methyl-Zta-responsive element), which Zta selectively binds in order to ‘read’ DNA in a methylation- and sequence-dependent manner unlike any other known protein. Zta is a homodimer but its binding characteristics to meZREs suggest a sequential, non-palindromic and bipartite DNA recognition element, which confers superior DNA binding compared to CpG-free ZREs. Our findings indicate that Zta has evolved to transactivate cytosine-methylated, hence repressed, silent promoters as a rule to overcome epigenetic silencing

    SME characteristics and the use of the Internet to expand the scale and geographical scope of sales: evidence from the United Kingdom

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    The potential of the Internet to both geographically expand customer bases and provide a source of sales growth has led to a rapid embracement of the Internet by a majority of small businesses in the United Kingdom. However, many studies suggest that much of this adoption takes the form of simple Web sites representing little more than an electronic brochure. Although theories and models have been proposed suggesting adoption and development of e-commerce takes a staged process, with firms moving to more complex e-commerce processes after first mastering simpler forms of Web site, studies have found mixed evidence with regard to this. This chapter investigates the level of Small and Medium Enterprise (SME) Web site adoption and functionality and how this relates to growth aspirations, specifically the geographical expansion of customer bases. One potential explanation for this slow uptake of true e-commerce is a lack of employees with basic and advanced IT skills. The possibility that Information Technology (IT) skills shortages could explain the gap between the Internet’s potential and the extent of involvement by a vast majority of UK SMEs is explored. Discussion within the chapter is complemented with analysis of data from a large survey of SMEs.</jats:p

    Investigation of pathology, expression and proteomic profiles in human TREM2 variant postmortem brains with and without Alzheimer’s disease

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    TREM2 was identified as a risk factor for late onset Alzheimer's disease (AD). Here we compared TREM2 cases with a variant (TREM2+ ) and cases without a TREM2 variant (TREM2- ), considering pathological burden, inflammatory response and altered canonical pathways and biochemical functions between the cohorts. We hypothesised that TREM2+ cases would have a loss of function, indicating an altered inflammatory profile compared to TREM2- cases. Immunohistochemistry was performed using antibodies against Aβ, tau and microglia markers in TREM2+ cases, with and without AD, which were compared to sporadic TREM2- AD, familial AD and neurologically normal control cases. Aβ and tau load were measured along with the composition of Aβ plaques, in addition to microglial load and circularity. Expression and proteomic profiles were determined from the frontal cortex of selected cases. TREM2+ control cases had no Aβ or tau deposition. No differences in the amount of Aβ or tau, or the composition of Aβ plaques were observed between TREM2+ and TREM2- SAD cases. There were no differences in microglial load observed between disease groups. However, the TREM2+ SAD cases showed more amoeboid microglia than the TREM2- SAD cases, although no differences in the spatial relationship of microglia and Aβ plaques were identified. Visualisation of the canonical pathways and biological functions showed differences between the disease groups and normal controls, clearly showing a number of pathways upregulated in TREM2+ SAD, TREM2- SAD and FAD groups whilst, the TREM2+ controls cases showed a downregulation of the majority of the represented pathways. These findings suggest that the TREM2+ control group, although carrying the TREM2+ variant, have no pathological hallmarks of AD, have altered microglial and expression profiles compared to the TREM2+ SAD cases. This indicates that other unknown factors may initiate the onset of AD, with TREM2 influencing the microglial involvement in disease pathogenesis

    BAG-1 expression and function in human cancer

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    BAG-1 is a multifunctional protein that interacts with a wide range of target molecules to regulate apoptosis, proliferation, transcription, metastasis and motility. Interaction with chaperone molecules may mediate many of the effects of BAG-1. The pathways regulated by BAG-1 play key roles in the development and progression of cancer and determining response to therapy, and there has been considerable interest in determining the clinical significance of BAG-1 expression in malignant cells. There is an emerging picture that BAG-1 expression is frequently altered in a range of human cancers relative to normal cells and a recent report suggests the exciting possibility that BAG-1 expression may have clinical utility as a prognostic marker in early breast cancer. However, other studies of BAG-1 expression in breast cancer and other cancer types have yielded differing results. It is important to view these findings in the context of current knowledge of BAG-1 expression and function. This review summarises recent progress in understanding the clinical significance of BAG-1 expression in cancer in light of our understanding of BAG-1 function
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