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PubMed2003

Mass and mechanical sensitivity of otoliths.

It has been suggested that the changes of otolith mass during the otolith development in altered gravity conditions as well as the growth of otoliths in fishes in normal conditions are determined by the feedback between the otolith dynamics and the processes that regulate otolith growth. This hypothesis originates from the pendulum model of an otolith (de Vries, 1950), in which otolith mass is a parameters. The validity of this hypothesis is tested by comparing the pendulum model with a simplified spatially distributed model of an otolith. It was shown that when the otolith plate (otoconial layer) was spatially distributed and fixed to the macular surface, the mechanical sensitivity of the otolith does not depend on the total otolith mass and its longitudinal dimensions. It is determined by otolith thickness, Young's modulus, and the viscosity of the gel layer of the growing otolith. These parameters may change in order to secure otolith sensitivity under altered dynamic conditions (e.g., in microgravity). Possible hypotheses regarding the relationship between the otolith growth, otolith dynamics and animal growth are proposed and discussed here.

Acceleration↗
PubMed2005

Comparison of a spatial approach with the multilevel approach for investigating place effects on health: the example of healthcare utilisation in France.

STUDY OBJECTIVE: Most studies of place effects on health have followed the multilevel analytical approach that investigates geographical variations of health phenomena by fragmenting space into arbitrary areas. This study examined whether analysing geographical variations across continuous space with spatial modelling techniques and contextual indicators that capture space as a continuous dimension surrounding individual residences provided more relevant information on the spatial distribution of outcomes. Healthcare utilisation in France was taken as an illustrative example in comparing the spatial approach with the multilevel approach. DESIGN: Multilevel and spatial analyses of cross sectional data. PARTICIPANTS: 10,955 beneficiaries of the three principal national health insurance funds, surveyed in 1998 and 2000 on continental France. MAIN RESULTS: Multilevel models showed significant geographical variations in healthcare utilisation. However, the Moran's I statistic showed spatial autocorrelation unaccounted for by multilevel models. Modelling the correlation between people as a decreasing function of the spatial distance between them, spatial mixed models gave information not only on the magnitude, but also on the scale of spatial variations, and provided more accurate standard errors for risk factors effects. The socioeconomic level of the residential context and the supply of physicians were independently associated with healthcare utilisation. Place indicators better explained spatial variations in healthcare utilisation when measured across continuous space, rather than within administrative areas. CONCLUSIONS: The kind of conceptualization of space during analysis influences the understanding of place effects on health. In many contextual studies, viewing space as a continuum may yield more relevant information on the spatial distribution of outcomes.

Adult↗
PubMed2001

Cortical network resonance and motor activity in humans.

Large areas of the human motor cortex are devoted to the control of the contralateral hand and forearm. Just how activities scattered across these motor areas may be brought together in the execution of a given movement remains unclear. There is increasing evidence, largely from animal studies, suggesting that sensory integration involves the synchronization of activity between spatially distributed cortical sites. Here we review recent evidence that cortical activity becomes oscillatory and synchronized between spatially distributed sites during performance of a movement in humans. Cortico-cortical synchronization may occur with a precision in the millisecond range, is essentially limited to those cortical elements active in a given task, and changes in both its distribution and frequency in a task-related manner. Synchronization at specific frequencies may therefore link disparate cortical activities into the functional ensembles underlying voluntary movement in humans.

Animals↗
PubMedDate not supplied

Knowledge-based multi-modality three-dimensional image analysis of the brain.

With the recent advances in medical imaging, three-dimensional anatomical and metabolic images of the brain are now available through MR/CT and PET/SPECT imaging modalities. Computerized multi-modality three-dimensional brain image registration and analysis can provide important correlated information for improving diagnosis and studying the pathology of disease. Such analysis may also provide help in planning brain surgery. Further, an anatomical model based quantification and analysis of internal structure can be used to develop a computerized anatomical atlas. Conventional anatomical atlases provide rigid spatial distribution of internal structures extracted from a single subject. The proposed computerized anatomical atlas provides probabilistic spatial distributions which can be easily updated to incorporate the variability of brain structures of subjects selected from pre-defined groups. This paper first presents a review of the current trends in knowledge-based segmentation, labeling, and analysis of MR brain images and then describes the Principal Axes Transformation based registration of three-dimensional MR brain images to develop composite models of selected internal brain structures. The composite models can be used as a computerized anatomical atlas in model-based segmentation and labeling of MR brain images. Three-dimensional labeled MR images of the brain can also be registered and correlated with PET images for analyzing the metabolic activity in the anatomically selected volume of interest. On the other hand, a volume of interest can be selected using the metabolic information and then analyzed for correlated anatomical information using the registered MR-PET images.

Algorithms↗
PubMed1999

Spatial mapping of T2 and gadolinium-enhancing T1 lesion volumes in multiple sclerosis: evidence for distinct mechanisms of lesion genesis?

It is generally believed that most T2-weighted (T2) lesions in the central white matter of patients with multiple sclerosis begin with a variable period of T1-weighted (T1) gadolinium (Gd) enhancement and that T1 Gd-enhancing and T2 lesions represent stages of a single pathological process. Lesion probability maps can be used to test this hypothesis by providing a quantitative description of the spatial distribution of these two types of lesions across a patient population. The simplest prediction of this hypothesis would be that the spatial distributions of T1 Gd-enhancing and T2 lesions are identical. We generated T1 Gd-enhancing and T2 lesion probability maps from 19 patients with relapsing-remitting multiple sclerosis. There was a significantly higher probability (P = 0.001) for T2 lesions to be found in the central relative to the peripheral white matter (risk ratio 4.5), although the relative distribution of T1 Gd-enhancing lesions was not significantly different (P = 0.7) between central and peripheral white matter regions (risk ratio 0.6). Longitudinal data on the same population were used to demonstrate a similar distribution asymmetry between new T1 Gd-enhancing and new T2 lesions that developed over the course of 1 year. Alternative hypotheses to explain this observation were tested. We found no spatial difference in the likelihood of development of persistent T2 lesions following T1 Gd enhancement. The relative distribution of T1 Gd-enhancing lesions was shown to be independent of the dose of Gd contrast agent and the frequency of scanning. Our findings suggest that a proportion of the periventricular T2 lesion volume may arise from mechanisms other than those associated with early breakdown of the blood-brain barrier leading to T1 Gd enhancement.

Adult↗
PubMed2002

Investigating the distribution of prostate cancer using three-dimensional computer simulation.

The objective of this work was to investigate the distribution of prostate cancer using three-dimensional (3-D) computer simulation. Two hundred and eighty-one 3-D computer prostate models were constructed from radical prostatectomy specimens. An algorithm was developed which divided each model into 24 symmetrical regions, and it then detected the presence of tumor within an individual region. The distribution rate of prostate cancer was assessed within each region of all 281 prostate models, and the difference between the rates was statistically analyzed using Mantel-Haenszel methodology. There was a statistically significant higher distribution rate of cancer in the posterior half (57.2%) compared to the anterior half ( 40.5%; P=0.001). The base regions (36.8%) had a statistically significant lower distribution rate than either the mid regions (56.3%; P=0.001) or the apical regions (53.5%; P=0.001). The mid regions did have a statistically significant higher distribution rate compared to the apical regions (P=0.032). There was no statistically significant difference between the distribution rate on the left half (48.5%) compared to that on the right half (49.2%; P=0.494). The spatial distribution of prostate cancer can be analyzed using 3-D computer prostate models. The results illustrate that prostate cancer is least commonly located in the anterior half and base regions of the prostate. Through an analysis of the spatial distribution of prostate cancer, we believe that new optimal biopsy strategies and techniques can be developed.

Biopsy↗
PubMed1997

ENVIRONMENTAL AUDITING: An Approach for Characterizing Tropospheric Ozone Risk to Forests

/ The risk tropospheric ozone poses to forests in the United States is dependent on the variation in ozone exposure across the distribution of the forests in question and the various environmental and climate factors predominant in the region. All these factors have a spatial nature, and consequently an approach to characterization of ozone risk is presented that places ozone exposure-response functions for species as seedlings and model-simulated tree and stand responses in a spatial context using a geographical information systems (GIS). The GIS is used to aggregate factors considered important in a risk characterization, including: (1) estimated ozone exposures over forested regions, (2) measures of ozone effects on species' and stand growth, and (3) spatially distributed environmental, genetic, and exposure influences on species' response to ozone. The GIS-based risk characterization provides an estimation of the extent and magnitude of the potential ozone impact on forests. A preliminary risk characterization demonstrating this approach considered only the eastern United States and only the limited empirical data quantifying the effect of ozone exposures on forest tree species as seedlings. The area-weighted response of the annual seedling biomass loss formed the basis for a sensitivity ranking: sensitive-aspen and black cherry (14%-33% biomass loss over 50% of their distribution); moderately sensitive-tulip popular, loblolly pine, eastern white pine, and sugar maple (5%-13% biomass loss); insensitive-Virginia pine and red maple (0%-1% loss). In the future, the GIS-based risk characterization will include process-based model simulations of the three- to 5-year growth response of individual species as large trees with relevant environmental interactions and model simulated response of mixed stands. The interactive nature of GIS provides a tool to explore consequences of the range of climate conditions across a species' distribution, forest management practices, changing ozone precursors, regulatory control strategies, and other factors influencing the spatial distribution of ozone over time as more information becomes available.KEY WORDS: Ecological risk assessment; GIS; Ozone; Risk characterization; Forests; Trees

Journal Article↗
PubMed2004

Cellular growth and rearrangement during the development of the mammalian organ of Corti.

The sensory epithelium of the mammalian cochlea, the organ of Corti, is comprised of ordered rows of cells, including inner and outer hair cells. Recent results suggest that physical changes in the overall size and shape of the cochlear duct, including possible convergence and extension, could play a role in the development of this pattern. To examine this hypothesis, changes in cell size and distribution were determined for different regions of the cochlea duct during embryonic development. In addition, changes in the spatial distribution of sensory precursor cells were determined at different developmental time points based on expression of p27kip1. Unique changes in luminal surface area, cell density, and number of cell contacts were observed for each region of the duct. Moreover, the spatial distribution of p27kip1-positive cells changed from short and broad early in development, to long and narrow. These results are consistent with the hypothesis that convergence and extension plays a role in cellular patterning within the organ of Corti.

Animals↗
PubMed2003

A model of animal movements in a bounded space.

Most studies describing animal movements have been developed in the framework of population dispersion or population dynamics, and have mainly focused on movements in open spaces. During their trips, however, animals are likely to encounter physical heterogeneities that guide their movements and, as a result, influence their spatial distribution. In this paper, we develop a statistical model of individual movement in a bounded space. We introduced cockroaches in a circular arena and quantified accurately the behaviors underlying their movement in a finite space. Close to the edges, we considered that the animals exhibit a linear movement mode with a constant probability per unit time to leave the edge and enter the central zone of the arena. Far from the walls cockroaches were assumed to move according to a diffusive random walk which enabled us to overcome the inherent problem of the quantification of the turning angle distribution. A numerical model implementing the behavioral rules derived from our experiments, confirms that the pattern of the spatial distribution of animals observed can be reliably accounted for by wall-following behaviors combined with a diffusive random walk. The approach developed in this study can be applied to model the movements of animals in various environment under consideration of spatial structure.

Animals↗
PubMed2003

Ecotoxicology and spatial modeling in population dynamics: an illustration with brown trout.

We developed a multiregion matrix population model to explore how the demography of a hypothetical brown trout population living in a river network varies in response to different spatial scenarios of cadmium contamination. Age structure, spatial distribution, and demographic and migration processes are taken into account in the model. Chronic or acute cadmium concentrations affect the demographic parameters at the scale of the river range. The outputs of the model constitute population-level end points (the asymptotic population growth rate, the stable age structure, and the asymptotic spatial distribution) that allow comparing the different spatial scenarios of contamination regarding the demographic response at the scale of the whole river network. An analysis of the sensitivity of these end points to lower order parameters enables us to link the local effects of cadmium to the global demographic behavior of the brown trout population. Such a link is of broad interest in the point of view of ecotoxicological management.

Animal Migration↗
PubMed2000

Analytical solution of the polarized photon transport equation in an infinite uniform medium using cumulant expansion.

An analytical solution for time-dependent polarized photon transport equation in an infinite uniform isotropic medium is studied using a circular representation of the polarized light and expansion in the generalized spherical functions. We extend our cumulant approach for solving the scalar (unpolarized) photon transport equation to the vector (polarized) case. As before, an exact angular distribution is obtained and a cumulant expansion is derived for the polarized photon distribution function. By a cutoff at the second cumulant order, a Gaussian analytical approximate expression of the polarized photon spatial distribution is obtained as a function of the direction of light and time, whose average center position and half-width are always exact. The central limit theorem claims that this spatial distribution approaches accuracy in detail when the number of collisions or time becomes large. The analytical expression of cumulants up to an arbitrary high order is also derived, which can be used for calculating a more accurate polarized photon distribution through a numerical Fourier transform. Contrary to what occurs in other approximation techniques, truncation of the cumulant expansion at order n is exact at that order and cumulants up to and including order n remain unchanged when higher orders are added, at least as applied in our photon transport equation.

Journal Article↗
PubMed1989

Regional effects of repetition time on NMR quantitation of water in normal and edematous lungs.

It is well known that pulmonary edema is, in general, spatially nonuniform. Since the NMR spin-lattice relaxation time (T1) is increased by lung edema, the spatial distribution of T1 will be nonuniform. When the repetition time (TR) is short relative to the T1 of edematous lung, lung water content will be underestimated and this underestimation will be spatially nonuniform as well. Therefore, technical artifacts which are a complex function of lung edema and its spatial distribution are expected. We compared overall and regional (topographic) lung water density measurements obtained from living rats (with normal or edematous lungs) using repetition times of 2.0 and 6.2 s (at a magnetic field of 1 T), to quantify this uneven T1 effect for normal and edematous lungs. NMR measurements at TR = 2.0 s underestimated whole lung water density (-rho H2O) TR = 6.2 s) by an average of 7.2% in normal rats and 22.5% in rats with pulmonary edema. Regional -rho H2O underestimation (%delta-rho H2O) varied from 2.2 to 8.8% (groups means) in normal lungs and from 7.3 to 30.8% in edematous lungs. As a result, the interquartile range (of the voxel distribution as a function of rho H2O) underestimated the spatial nonuniformity of lung water density by 28.0% in edematous lungs, likely because of greater loss of NMR signal from high-water-density, long-T1 lung regions. Both %delta-rho H2O and T1 were significantly correlated with -rho H2O at TR = 6.2 s.(ABSTRACT TRUNCATED AT 250 WORDS)

Body Water↗
PubMed1984

Peptidergic pathways in the avian brain.

The results obtained by topographical studies on the immunoreactive peptide systems in the embryonic and adult avian brain (domestic fowl, domestic mallard, pigeon, Japanese quail, and zebra finch) can be realized only by means of phylogenetical comparisons. The comparative studies mainly demonstrate a fascinating constancy of the immunological properties and the spatial distribution of the neuropeptides. Independent of the development of the neopallium, and the increasing cerebral complexity, the spatial distribution of the neuropeptides, the location of their main perikaryal accumulations which are interconnected by immunoreactive fiber projections (and thereby forming widespread but continuous peptide systems) remain nearly unchanged during vertebrate evolution. The recognition of the neuropeptides as integral parts of the central nervous system is demonstrated by the fact that neuropeptidergic structures connect sensory inputs with central nervous areas as well as with the peripheral endocrinium.

Animals↗
PubMedDate not supplied

Algorithm for the grouping of contiguous geographical zones.

In geographical epidemiology, the correlation between two variables is often studied, using as basic units those zones for which these variables are available. However, because of their geographical contiguity, it could be misleading to consider each of these zones as independent statistical units. Moreover, spatial distributions (either of the factor or of the disease) are often distributed in relatively simple patterns; these patterns may induce strong correlations. Thus, the general pattern of the spatial distribution of the variables should be investigated before any attempt to infer epidemiological interpretation of a relationship. This paper presents an algorithm to construct contiguous groupings which are similar enough with regard to one of the two variables considered and to thus divide the original set of geographical areas into contrasting zones. The algorithm is easy to compute and allows mapping of the geographical distribution of the variable studied. It also lessens the risk of duplication of basic information by reducing the autocorrelation of one of the variables.

Biometry↗
PubMed1982

Metabolic mapping of functional activity in the rat olfactory system after a bilateral transection of the lateral olfactory tract.

The effects of the bilateral transection of the LOT on the patterns of 2-deoxyglucose uptake within the olfactory bulb and the olfactory projections were studied in adult rats. Animals were exposed to a pure neutral odor, ethyl acetoacetate (EAA) or to a biological alarming odor, fox odor. In intact animals, the patterns of glomerular activity elicited by EAA and fox odor appeared complex. An average number of 30-40 foci of 2-DG uptake was noted in each bulb and the optical density of the foci spread out according to a continuous gradient. These patterns were largely overlapping on the lateral aspect and the third-to-posterior part of the medial aspect of the bulb. Nevertheless, they were somewhat different and the spatial distribution of the darkest foci seemed particularly relevant for the pattern recognition. In lesioned animals, the same spatial distribution of the foci as in intact rats, was observed in the lateral and the medial aspects of the bulb. Nevertheless, lesioned animals presented some quantitative changes in their patterns of glomerular labeling. Moreover, these patterns appeared different according to the biological meaning of the odor tested. The bilateral transection of the LOT brought about a very strong decrease of the optical density in the direct olfactory projections. No evident change of 2-DG uptake was noted in the different tertiary olfactory projections. These 2-DG results confirm the anatomical data relating to the LOT projections.

Amygdala↗
PubMedDate not supplied

Using kriging for 3D medical imaging.

We describe our implementation of kriging for interpolation of scalar values in three-dimensional medical image surface rendering and for slice interpolation. Kriging is an interpolation technique developed in the geosciences for estimating ore deposit spatial distributions. Kriging has been mathematically proven to be the best (statistically optimal) linear unbiased estimation technique for spatially distributed data. As a byproduct of the kriging technique, kriging can calculate the estimation error for the interslice interpolated values. Kriging also offers the potential for quantifying the interpolation error in slices computed by the estimation technique. This paper presents the initial results obtained using kriging for the pre-processing operations of slice interpolation by slice-value interpolation and interpolating voxel values during iso-surface extraction. We found that kriging is an accurate interpolation technique for surface rendering and for slice interpolation. Our results indicate that kriging can duplicate the rendering results obtained with other interpolation techniques and it offers the potential for providing visually "better" images than are obtained using the other interpolation techniques we tested.

Algorithms↗
PubMed2006

Spatial clustering of mental disorders and associated characteristics of the neighbourhood context in Malmö, Sweden, in 2001.

STUDY OBJECTIVE: Previous research provides preliminary evidence of spatial variations of mental disorders and associations between neighbourhood social context and mental health. This study expands past literature by (1) using spatial techniques, rather than multilevel models, to compare the spatial distributions of two groups of mental disorders (that is, disorders due to psychoactive substance use, and neurotic, stress related, and somatoform disorders); and (2) investigating the independent impact of contextual deprivation and neighbourhood social disorganisation on mental health, while assessing both the magnitude and the spatial scale of these effects. DESIGN: Using different spatial techniques, the study investigated mental disorders due to psychoactive substance use, and neurotic disorders. PARTICIPANTS: All 89,285 persons aged 40-69 years residing in Malmö, Sweden, in 2001, geolocated to their place of residence. MAIN RESULTS: The spatial scan statistic identified a large cluster of increased prevalence in a similar location for the two mental disorders in the northern part of Malmö. However, hierarchical geostatistical models showed that the two groups of disorders exhibited a different spatial distribution, in terms of both magnitude and spatial scale. Mental disorders due to substance consumption showed larger neighbourhood variations, and varied in space on a larger scale, than neurotic disorders. After adjustment for individual factors, the risk of substance related disorders increased with neighbourhood deprivation and neighbourhood social disorganisation. The risk of neurotic disorders only increased with contextual deprivation. Measuring contextual factors across continuous space, it was found that these associations operated on a local scale. CONCLUSIONS: Taking space into account in the analyses permitted deeper insight into the contextual determinants of mental disorders.

Adult↗
PubMed1988

Temperature profiles with respect to inhomogeneity and geometry of the human body.

Temperature profiles within the human body are highly dependent on the geometry and inhomogeneity of the body. Physical parameters such as density and heat conductivity of the various tissues and variables such as blood flow and metabolic heat production of different organs are spatially distributed and thereby influence the temperature profiles within the human body. Actual physiological knowledge allows one to take into account up to 54 different spatially distributed values for each parameter. An adequate representation of the anatomy of the body requires a spatial three-dimensional grid of at least 0.5-1.0 cm. This is achieved by photogrammetric treatment of three-dimensional anatomic models of the human body. As a first essential result, the simulation system has produced a realistic picture of the topography of temperatures under neutral conditions. Compatibility of reality and simulation was achieved solely on the basis of physical considerations and physiological data base. Therefore the simulation is suited to the extrapolation of temperature profiles that cannot be obtained experimentally.

Body Constitution↗