Thesis (Ph. D.)--University of Texas at Austin, 2000. / Vita. Includes bibliographical references (leaves 164-173). Available also in a digital version from Dissertation Abstracts.

Thesis (Ph. D.)--University of Texas at Austin, 2005. / Supervisor: F. Gonzalez-Lima. Vita. Includes bibliographical references.

Thesis (M.S.)--West Virginia University, 2006. / Title from document title page. Document formatted into pages; contains vii, 68 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 51-57).

Thesis (Ph. D.)--University of Texas at Austin, 2006. / Vita. Includes bibliographical references.

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Synapses are specialised contacts between neurons. At postsynaptic terminals of glutamatergic synapses, protein complexes process and transmit the information received from the presynaptic terminal. Scaffolding proteins, among which members of the disc large homologue (DLG) family are the most abundant, assemble the molecular machinery in the postsynaptic terminal. Recently, two members of the DLG family, postsynaptic density protein 95 (PSD95) and synapse associated protein 102 (SAP102), have been shown to form different types of complexes, thus giving the synapse different signalling capabilities. However, the spatial distribution of these synaptic markers in different synapses remains elusive due to technical challenges. This thesis presents the first applications of a new method, the Genes to Cognition Synaptome Mapping pipeline (G2CSynMapp), to map individual synapses at the whole-brain level, in a quantitative and unbiased manner. This method was used to generate PSD95 and SAP102 synaptome maps – i.e. comprehensive maps of PSD95 and SAP102 positive synapses – in the mouse brain and to achieve three aims: i) characterise PSD95 and SAP102 synapse diversity, ii) measure the trajectory of PSD95 and SAP102 synapse changes during the postnatal lifespan and iii) determine whether PSD95 synaptome is reorganised by mutation. First, I have used G2CSynMapp to generate the first synaptome maps in the adult mouse brain. This reference map of PSD95 and SAP102 positive synapses revealed a highly organised distribution pattern of glutamatergic synapses between anatomical regions. Moreover, it uncovered that synapse populations are very diverse within anatomical regions and can form patches, gradients and input-specific glomeruli. Second, the trajectories of PSD95 and SAP102 synaptomes were mapped across the mouse postnatal lifespan. At birth, synapse densities are low and increase rapidly during the first month of life. During ageing, the density of SAP102 and PSD95 positive synapses decrease gradually. Interestingly, different anatomical regions show different trajectories of synapse density and parameters across the lifespan. Moreover, the packing of PSD95 and SAP102 at synapses have specific pattern of changes. Third, the PSD95 synaptome was found to be reorganised differently in two disease models, PSD93 and SAP102 knock-out mice. In humans, mutations in the genes encoding PSD93 or SAP102 have been involved in schizophrenia and mental retardation, respectively. Of particular interest, opposite changes were identified in the neocortex of the two mutant lines that are reminiscent of their inverse behavioural phenotypes.

The study compared electrical brain activity of subjects in five different conditions: eyes-closed at rest, eyes-open at rest, looking at a flashing object, looking at apparent movement, and looking at real movement. Absolute theta and alpha power in the frontal and occipital areas were analyzed. Significant differences were found in the frontal area. Results suggest that perceived movement requires higher order cognitive processes outside the occipital area. Implications for education and cognitive research are discussed.

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No description available.

The neurophysiological signals that are recorded in EEG (electroencephalography) and MEG (magnetoencephalography) originate from current flow perpendicular to the cortical surface due to the columnar organization of pyramidal cells in the cortical gray matter. These locations and directions have been used as anatomical constraints for dipolar sources in estimations of neural activity from MEG recordings. Here we extend anatomically constrained beamforming to EEG, which requires a more sophisticated forward model than MEG due to the blurring of the electric potential at tissue boundaries, but in contrast to MEG, EEG can account for both tangential and radial sources. Using computed tomography (CT) scans we create a realistic three-layer head model consisting of tessellated surfaces representing the tissue boundaries cerebrospinal fluid-skull, skull-scalp and scalp-air. The cortical gray matter surface, the anatomical constraint for the source dipoles, is extracted from magnetic resonance imaging (MRI) scans. EEG beamforming is implemented in a set of simulated data and compared for three different head models: single sphere, multi-shell sphere and realistic geometry multi-shell model that employs a boundary element method. Beamformer performance is also analyzed and evaluated for multiple dipoles and extended sources (patches). We show that using anatomical constraints with the beamforming algorithm greatly reduces computation time while increasing the spatial accuracy of the reconstructed sources of neural activity. Using the spatial Laplacian instead of the electric potential in combination with beamforming further improves the spatial resolution and allows for the detection of highly correlated sources. / by Vyacheslav Murzin. / Thesis (Ph.D.)--Florida Atlantic University, 2010. / Includes bibliography. / Electronic reproduction. Boca Raton, Fla., 2010. Mode of access: World Wide Web.