2 resultados para metabolic coding
em DigitalCommons@The Texas Medical Center
Resumo:
More than a century ago Ramon y Cajal pioneered the description of neural circuits. Currently, new techniques are being developed to streamline the characterization of entire neural circuits. Even if this 'connectome' approach is successful, it will represent only a static description of neural circuits. Thus, a fundamental question in neuroscience is to understand how information is dynamically represented by neural populations. In this thesis, I studied two main aspects of dynamical population codes. ^ First, I studied how the exposure or adaptation, for a fraction of a second to oriented gratings dynamically changes the population response of primary visual cortex neurons. The effects of adaptation to oriented gratings have been extensively explored in psychophysical and electrophysiological experiments. However, whether rapid adaptation might induce a change in the primary visual cortex's functional connectivity to dynamically impact the population coding accuracy is currently unknown. To address this issue, we performed multi-electrode recordings in primary visual cortex, where adaptation has been previously shown to induce changes in the selectivity and response amplitude of individual neurons. We found that adaptation improves the population coding accuracy. The improvement was more prominent for iso- and orthogonal orientation adaptation, consistent with previously reported psychophysical experiments. We propose that selective decorrelation is a metabolically inexpensive mechanism that the visual system employs to dynamically adapt the neural responses to the statistics of the input stimuli to improve coding efficiency. ^ Second, I investigated how ongoing activity modulates orientation coding in single neurons, neural populations and behavior. Cortical networks are never silent even in the absence of external stimulation. The ongoing activity can account for up to 80% of the metabolic energy consumed by the brain. Thus, a fundamental question is to understand the functional role of ongoing activity and its impact on neural computations. I studied how the orientation coding by individual neurons and cell populations in primary visual cortex depend on the spontaneous activity before stimulus presentation. We hypothesized that since the ongoing activity of nearby neurons is strongly correlated, it would influence the ability of the entire population of orientation-selective cells to process orientation depending on the prestimulus spontaneous state. Our findings demonstrate that ongoing activity dynamically filters incoming stimuli to shape the accuracy of orientation coding by individual neurons and cell populations and this interaction affects behavioral performance. In summary, this thesis is a contribution to the study of how dynamic internal states such as rapid adaptation and ongoing activity modulate the population code accuracy. ^
Resumo:
Neural tube defects including spina bifida meningomyelocele (SBMM) are common malformations of the brain and spinal cord, and include all abnormalities resulting from lack of closure of the developing neural tube during embryological development.^ The specific aims of this study were to determine if single nucleotide polymorphic variants (SNPs) in the folate/homocysteine metabolic pathway genes confer a risk for NTD susceptibility within this SBMM population.^ In completion of the first specific aim, two novel SNPs were identified in the FOLR1 gene in Chromosome 11of patients including one in non-coding exon 1 with a C → T transition at nucleotide position 71578317 and another in non-coding exon 3 with a T → G transversion at nucleotide position 71579123. It will be important to determine if these variants are present in the respective parents of these individuals. If they are in fact de novo variants, then these SNPs may be more likely to contribute to the birth defect.^ The second project aim was to analyze genotypes associated with SBMM risk by transmission disequilibrium tests (TDT) and association was detected on several SNPs across the folate metabolic pathway genes in this population. SNPs with significant RC-TDT values were found within the DHFR gene (rs1650723), the MTRR gene (rs327592), the FOLR2 gene (rs13908), four tightly linked variants in the FOLR3 gene (rs7925545, rs7926875, rs7926987, rs7926360) and a variant in the SLC19A1 gene (rs1888530). The product of each of these genes performs a vital function in the folate metabolic pathway. It is conceivable, therefore, that if the individual SNP or SNPs can be proven to perturb the function in some way that they may be involved in the disruption of folate metabolism and in the resulting birth defect. Validating the results of this study in other independent populations will further strengthen the evidence that dysfunction of folate enzymes and receptors may confer SBMM risk in humans. ^