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At least 1,099 records · Page 61Linked to original sources
PubMed2006

Albatross species demonstrate regional differences in North Pacific marine contamination.

Recent concern about negative effects on human health from elevated organochlorine and mercury concentrations in marine foods has highlighted the need to understand temporal and spatial patterns of marine pollution. Seabirds, long-lived pelagic predators with wide foraging ranges, can be used as indicators of regional contaminant patterns across large temporal and spatial scales. Here we evaluate contaminant levels, carbon and nitrogen stable isotope ratios, and satellite telemetry data from two sympatrically breeding North Pacific albatross species to demonstrate that (1) organochlorine and mercury contaminant levels are significantly higher in the California Current compared to levels in the high-latitude North Pacific and (2) levels of organochlorine contaminants in the North Pacific are increasing over time. Black-footed Albatrosses (Phoebastria nigripes) had 370-460% higher organochlorine (polychlorinated biphenyls [PCBs], dichlorodiphenyltrichloroethanes [DDTs]) and mercury body burdens than a closely related species, the Laysan Albatross (P. immutabilis), primarily due to regional segregation of their North Pacific foraging areas. PCBs (the sum of the individual PCB congeners analyzed) and DDE concentrations in both albatross species were 130-360% higher than concentrations measured a decade ago. Our results demonstrate dramatically high and increasing contaminant concentrations in the eastern North Pacific Ocean, a finding relevant to other marine predators, including humans.

Animals↗
PubMed1991

Morphogenesis and territorial coverage by isolated mammalian retinal ganglion cells.

Identified retinal ganglion cells were isolated from postnatal cat retinas and their dendrites were removed by trituration and centrifugation. The denuded cells were placed in a cell culture system and allowed to reexpress dendritic arbors in the absence of afferent input, target tissue, and interactions with neighboring ganglion cells. The retinal ganglion cells were grown above a feeder layer of astrocytes on glass coverslips equipped with paraffin pedestals. The spatial patterns of the reexpressed neurites were quantitatively analyzed using a number of measures, including an estimate of the Hausdorff dimension, H, which was used as a scale-independent metric for how well the neurite patterns filled in a restricted spatial domain. As assessed by the estimation of the Hausdorff dimensions, the neurites from a single cell achieve uniform coverage of a restricted territory independent of the total neurite length or the total number of inter-branch-point segments. A comparison with H values of ganglion cells from the intact retina revealed a similar trend. These results suggest that these cultured ganglion cells can express an intrinsic growth strategy for the uniform coverage of a restricted territory. The arbors expressed in the culture system displayed a limited range of diameters and exhibited morphology similar to the alpha-, beta-, and gamma-ganglion cells of the intact retina in the absence of afferent input or the influences of neighboring cells and target tissue. Time-lapse video data revealed that individual cultured cells showed extensive dendritic remodeling during their growth; however, after about 3 d in culture, this remodeling did not appreciably affect the territorial coverage of a cell. In the intact retina, the existence of dendritic sheets that independently and uniformly sample visual space may result from this intrinsic ability to elaborate dendrites that uniformly cover or fill in a restricted territory.

Animals↗
PubMed1996

Fine grain of the neural representation of human spatial vision.

It is widely held that in human spatial vision the visual scene is initially processed through visual filters, each of which is responsive to narrow ranges of image spatial frequencies. The physiological basis of these filters are thought to be cortical neurons with receptive fields of different sizes. The grain of the neural representation of spatial vision is much finer than had been supposed. Using laser interferometry, which effectively bypasses the demodulation of the optics of the eye, we measured discrimination of, and adaptation to, high spatial frequency laser interference fringe patterns. Spatial frequency discrimination was good right up to the visual resolution limit (average Weber fractions of 0.13 at 50 c/deg). Both contrast and spatial frequency matches made after adapting to extremely fine interference fringes strongly suggested that there existed even finer, relatively unadapted, filters (mechanisms with small receptive fields). The smallest cortical receptive fields processing spatial information in human vision are so small that they can possess receptive field centers hardly wider than single cone photoreceptors.

Adaptation, Physiological↗
PubMed1998

Dendritic integration and its role in computing image velocity.

The mechanisms underlying visual motion detection can be studied simultaneously in different cell compartments in vivo by using calcium as a reporter of the spatiotemporal activity distribution in single motion-sensitive cells of the fly. As predicted by the Reichardt model, local dendritic calcium signals are found to indicate the direction and velocity of pattern motion but are corrupted by spatial pattern properties. The latter are canceled out by spatial integration, thus leading to a purely directional selective output signal in the axon. These findings attribute a specific computational task to the dendrites of visual interneurons and imply a functional interpretation of dendritic morphology.

Animals↗
PubMed1999

Spatial and temporal patterns in final amendments to provisional disease counts.

This article examines temporal and spatial patterns in the relationship between provisional and amended reports for Hepatitis A and Hepatitis B received from each state by the Centers for Disease Control and Prevention through the U.S. National Notifiable Diseases Surveillance System from 1980 to 1992. It demonstrates that, as the 1980s unfolded, the preliminary disease reports became less representative markers of final disease counts. Practitioners at the state and community levels need to be aware of the temporal and spatial instabilities in such provisional data if they are used to provide early warning of contemporary health aberrations.

Centers for Disease Control and Prevention, U.S.↗
PubMed2006

High levels of asparagine synthetase in hypocotyls of pine seedlings suggest a role of the enzyme in re-allocation of seed-stored nitrogen.

A pine asparagine synthetase gene expressed in developing seedlings has been identified by cloning its cDNA (PsAS1) from Scots pine (Pinus sylvestris L.). Genomic DNA analysis with PsAS1 probes and a sequence-based phylogenetic tree are consistent with the possibility of more than one gene encoding asparagine synthetase in pine. However, the parallel patterns of free asparagine content and PsAS1 products indicate that the protein encoded by this gene is mainly responsible for the accumulation of this amino acid during germination and early seedling development. The temporal and spatial patterns of PsAS1 expression together with the spatial distribution of asparagine content suggest that, early after germination, part of the nitrogen mobilized from the megagametophyte is diverted toward the hypocotyl to produce high levels of asparagine as a reservoir of nitrogen to meet later specific demands of development. Furthermore, the transcript and protein analyses in seedlings germinated and growth for extended periods under continuous light or dark suggest that the spatial expression pattern of PsAS1 is largely determined by a developmental program. Therefore, our results suggest that the spatial and temporal control of PsAS1 expression determines the re-allocation of an important amount of seed-stored nitrogen during pine germination.

Amino Acid Sequence↗
PubMed2006

Spatial and temporal variability of water repellency in a sandy soil contaminated with tar oil and heavy metals.

Water repellency can induce preferential flow and thus affect water flow and contaminant transport at hazardous waste sites. Since the spatial patterns of water repellency are mostly unknown, it is problematic to use numerical transport models to predict leachate composition. In this study, the spatial variability of soil water repellency was studied at an industrial site contaminated with tar oil, chromium, copper and arsenic. The persistence of water repellency was assessed by the water drop penetration time (WDPT), and the degree of water repellency was quantified by the ethanol percentage (EP) test. Measurements were made at the soil surface along 3.5-12.1 m long transects at different times between March and October 2002. The spatial variability of WDPT, EP, water content, and organic matter content was quantified by variogram analyses. Both the persistence and the degree of water repellency varied seasonally, with the highest water repellency during the summer months. The correlation lengths of WDPT values ranged between 16 and 406 cm, whereas EP values showed no spatial correlation. For field-moist samples, a critical soil water threshold, below which water repellency prevails, was estimated to be 2.5-4%. For oven dry samples, the WDPT values were dependent on the water content prior to drying. The wide range of correlation lengths and the temporal dynamics of spatial repellency patterns suggest that simulations of solute leaching must consider the spatial and temporal variability of soil hydrophobic properties.

Arsenic↗
PubMed2002

[Geostatistical analysis of the pattern of Betula ermanii population in Changbai Mountain].

The distribution pattern and spatial correlation of Betula ermanii population in Changbai Mountain were studied using the theory of geostatistics. According to the data, these mivariograms of Betula ermanii volume were calculated, the models of semivariograms were simulated, and Kriging interpolation was also done to draw the Kriging map. The results showed that at the elevation of 1650-1700 m, the semivariograms of Betula ermanii volume could be described as spherical model, the spatial distribution pattern was the aggregated type, and the population was in a trend of declining. At the elevation of 1750-2000 m, the semivariograms of Betula ermanii volume could be described as linear model, the spatial distribution pattern was the random type, the population was stable. At the elevation of 2000-2150 m, the semivariograms of Betula ermanii volume could be described as spherical model, the spatial distribution pattern was the aggregated type, and the population was in a tend of increasing. Betula ermanii population in Changbai Mountain was in a trend of moving upper, especially Betula ermanii population in the ecotone.

Altitude↗
PubMed2003

Technique to study three-dimensional spatial arrangement of synaptic vesicles using data from single sections.

Synaptic vesicles are membrane-bound organelles storing neurotransmitters in presynaptic terminals and releasing them into the synaptic cleft. Coordinated movements of synaptic vesicles relate to synaptic function and their spatial arrangement can provide useful information about the activity of a synapse. This article presents a technique to extract quantitative information about three-dimensional (3D) spatial arrangement of synaptic vesicles from measurements performed on single ultrathin random sections of a presynaptic terminal. The technique presumes quantification of a 2D density as well as 2D spatial pattern formed by vesicle profiles using a minimum spanning tree (MST) algorithm, in digitized micrographs of a presynaptic terminal. Further, original software was used to simulate a 3D spatial arrangement of synaptic vesicles and their random sectioning. A 3D density and pattern of synaptic vesicles were used as basic input parameters of the model, while a 2D density and MST quantities for vesicle profiles served as output, model-derived parameters allowing one to compare and fit simulated distributions to experimental ones. Pilot simulations performed to check the validity of the technique have shown that a 2D density and MST quantities of vesicle profiles closely relate to a 3D density and spatial pattern of vesicles. The technique was demonstrated in the analysis of spatial distribution of synaptic vesicles in axonal terminals forming asymmetric synaptic densities in the stratum radiatum of the CA1 subfield of the murine hippocampus.

Animals↗
PubMed2004

Origin, structure, and role of background EEG activity. Part 2. Analytic phase.

OBJECTIVE: To explain spontaneous EEG through measurements of spatiotemporal patterns of phase among beta-gamma oscillations. METHODS: High-density 8 x 8 intracranial arrays were fixed over sensory cortices of rabbits. EEGs were spatially low pass filtered, temporally bandpass filtered and segmented in overlapping windows stepped at 2 ms. Phase was measured with the cosine as the temporal basis function, using both Fourier and Hilbert transforms to compensate for their respective limitations. Spatial patterns in 2D phase surfaces were measured with the geometric form of the cone as the spatial basis function. RESULTS: Two fundamental state variables were measured at each digitizing step in the 64 EEGs: the rate of change in phase with time (frequency) and the rate of change in phase with distance (gradient). The parameters of location, diameter, duration, and phase velocity of the cone of phase were derived from these two state variables. Parameter distributions including recurrence intervals extending into the low theta range were fractal; the mean values varied with window duration and interelectrode distance. CONCLUSIONS: The formation of spatial amplitude patterns began with state transitions that were documented by phase discontinuities and phase cones. The multiplicity of overlapping cones indicated that sensory neocortices maintained a scale-free state of self-organized criticality (SOC) in each hemisphere as the basis for its rapid integration of sensory input with prior learning stored in cortical synaptic webs. Further evidence came from the fractal properties of the phase parameters and the self-similarity of phase patterns in the ms/mm to m/s ranges. SIGNIFICANCE: These EEG data suggest that neocortical dynamics is analogous to the dynamics of self-stabilizing systems, such as a sand pile that maintains its critical angle by avalanches, and a pan of boiling water that maintains its critical temperature by bubbles that release heat. Beta-gamma oscillations stem from the ability of neocortex to maintain its stability under continuous sensory bombardment. Modeling implies that the critical parameter of neocortex (analogous to angle of repose or temperature) is the mean firing rates of neurons that are homeostatically regulated by refractory periods everywhere at all times in cortex. The advantage of SOC in perception may be the ability it gives neocortex to generate instantaneous global state transitions (avalanches, bubbles) large enough to include the multiple sensory areas that are necessary to form gestalts (multisensory percepts).

Animals↗
PubMed1976

Nature and origin of patterns of changes in cell shape in embryos.

Spatial patterns of the future elongation of cells exist in the early embryo. In the newt, such a pattern of changes of cell shape contributes to the formation of the neural plate. Regardless of where neural plate cells are transplanted, they change shape as prescribed by the pattern. Embryonic induction has a role in establishing this pattern.

Animals↗
PubMed2006

A computational theory of hippocampal function, and empirical tests of the theory.

The main aim of the paper is to present an up-to-date computational theory of hippocampal function and the predictions it makes about the different subregions (dentate gyrus, CA3 and CA1), and to examine behavioral and electrophysiological data that address the functions of the hippocampus and particularly its subregions. Based on the computational proposal that the dentate gyrus produces sparse representations by competitive learning and via the mossy fiber pathway forces new representations on the CA3 during learning (encoding), it has been shown behaviorally that the dentate gyrus supports spatial pattern separation during learning. Based on the computational proposal that CA3-CA3 autoassociative networks are important for episodic memory, it has been shown behaviorally that the CA3 supports spatial rapid one-trial learning, learning of arbitrary associations where space is a component, pattern completion, spatial short-term memory, and sequence learning by associations formed between successive items. The concept that the CA1 recodes information from CA3 and sets up associatively learned backprojections to neocortex to allow subsequent retrieval of information to neocortex, is consistent with findings on consolidation. Behaviorally, the CA1 is implicated in processing temporal information as shown by investigations requiring temporal order pattern separation and associations across time; computationally this could involve temporal decay memory, and temporal sequence memory which might also require CA3. The perforant path input to DG is implicated in learning, to CA3 in retrieval from CA3, and to CA1 in retrieval after longer time intervals ("intermediate-term memory").

Animals↗
PubMed1993

Tobacco and Parsley 4-Coumarate:Coenzyme A Ligase Genes Are Temporally and Spatially Regulated in a Cell Type-Specific Manner during Tobacco Flower Development.

The enzyme 4-coumarate:coenzyme A ligase (4CL) plays a key role in phenylpropanoid metabolism by supplying the precursors (coenzyme A esters of cinnamic acid derivatives) used for the biosynthesis of diverse natural products, many of which play functional roles in floral organs. In this study, we used in situ hybridization and histochemical localization of [beta]-glucuronidase (GUS) activity to define in detail the temporal and spatial patterns of 4CL-1 expression during tobacco flower development. Sectioned flowers from tobacco plants transgenic for a complete copy of the parsley (Petroselinum crispum) 4CL-1 gene were hybridized to probes that distinguished between 4CL-1 transcripts and endogenous tobacco 4CL transcripts. Both probes hybridized with similar cell type-specific patterns to carpels, anthers, petals, and sepals, and the sites of hybridization varied during flower development. The sites of hybridization generally coincided temporally and spatially with sites of 4CL-GUS expression, suggesting that most of the expression patterns are regulated by 4CL-1 promoter sequences, but lack of correlation between sites of 4CL mRNA accumulation and GUS activity in portions of the petal suggest that downstream sequences may mediate some aspects of developmentally regulated 4CL-1 expression. These results indicate that the introduced 4CL-1 gene correctly responds to endogenous tobacco developmental signals and demonstrate complex temporal and spatial patterns of expression during floral organ differentiation.

Journal Article↗
PubMed1978

Spatial-frequency masking with briefly pulsed patterns.

Spatial-frequency masking was studied with briefly pulsed (25 ms) vertical gratings. The mask was a noise grating, and the test pattern was a sinusoidal grating. A low-frequency band of noise masked a low- but not high-spatial-frequency test grating when the patterns were presented simultaneously. A high-frequency band of noise did not mask a low-frequency test grating when the patterns were presented simultaneously or when the mask was presented after the test pattern (backward masking). Masking was, however, observed when the mask or test pattern was of sufficiently high contrast so that the stimuli had nonlinear distortion and thus produced DC shifts of the field luminance.

Humans↗
PubMed2005

Parametric response surface models for analysis of multi-site fMRI data.

Analyses of fMRI brain data are often based on statistical tests applied to each voxel or use summary statistics within a region of interest (such as mean or peak activation). These approaches do not explicitly take into account spatial patterns in the activation signal. In this paper, we develop a response surface model with parameters that directly describe the spatial shapes of activation patterns. We present a stochastic search algorithm for parameter estimation. We apply our method to data from a multi-site fMRI study, and show how the estimated parameters can be used to analyze different sources of variability in image generation, both qualitatively and quantitatively, based on spatial activation patterns.

Algorithms↗
PubMed1999

Synchronized approximately 15.0-35.0 Hz oscillatory response to spatially modulated visual patterns in man.

When suitably stimulated, neurons in the striate visual cortex of cats fire in bursts at 20-60 Hz and the membrane potential oscillates rhythmically in the same frequency range and in phase. These oscillations reflect intrinsic properties of mammalian neurons, occur in coherent spatial patterns that depend on the segregation and stimulus selectivity of stimulated cells, and mediate in long-range synchronization across columns and over large cortical areas of cells responding to the same stimulus property/properties. The pool of activated neurons may be adequate in size to drive cellular oscillations into local fields and mass responses. Accordingly, stimulus-dependent oscillatory activity in the same frequency range was described in man after contrast stimulation. Our results describe oscillatory potentials at approximately 15.0-35.0 Hz that in man are (partly) independent from, and anticipate the occurrence of, the conventional low-frequency visual response evoked by transient, foveal stimulation with spatially-modulated patterns.

Adult↗
PubMed2006

Spatial recurrence plots.

We propose an extension of the recurrence plot concept to perform quantitative analyzes of roughness and disorder of spatial patterns at a fixed time. We introduce spatial recurrence plots (SRPs) as a graphical representation of the pointwise correlation matrix, in terms of a two-dimensional spatial return plot. This technique is applied to the study of complex patterns generated by coupled map lattices, which are characterized by measures of complexity based on SRPs. We show that the complexity measures we propose for SRPs provide a systematic way of investigating the distribution of spatially coherent structures, such as synchronization domains, in lattice profiles. This approach has potential for many more applications, e.g., in surface roughness analyzes.

Journal Article↗
PubMedDate not supplied

[Differential patterns of neonatal and post-neonatal mortality rates in Goiânia, Brazil, 1992-1996: use of spatial analysis to identify high-risk areas].

The aim of this study was to investigate the spatial pattern of neonatal and post-neonatal mortality in the city of Goiânia, Central Brazil. Analyses were based on linked birth and death certificates relating to 101,000 in-hospital live births from mothers residing in the city of Goiânia over the 1992-1996 period. Overall neonatal and post-neonatal mortality probabilities were calculated using the linked database. The empirical Bayes method was applied to smooth the estimated rates and minimize random fluctuation. Spatial units of analysis were 65 urban districts, corresponding to the urban planning sectors. The following exploratory spatial analyses were applied: "global" Moran's I statistic, local Moran LISA map, and Gi* local statistics. For both neonatal and post-neonatal mortality there was statistically significant spatial autocorrelation. Results of post-neonatal mortality showed a high-risk cluster located on the outskirts of the city. For the neonatal period, a heterogeneous mortality pattern was found with high-risk districts in all regions, including central areas.

Brazil↗