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PubMed2005

Surface-element analysis of spatiotemporal stripe patterns formed by Ag and Sb coelectrodeposition.

Various spatiotemporal patterns of light and dark stripes are formed in the Ag and Sb coelectrodeposition system. In this research, we report the results of the element analysis of three spatiotemporal stripe patterns using an electron probe (x-ray) microanalyzer. The results indicate that all the patterns have an O distribution reflecting the color configuration of the patterns, in addition to Ag and Sb distributions, which have been advocated as forming the patterns. It is suggested that O, as well as Ag and Sb, contributes to the formation of the patterns.

Journal Article↗
PubMed2000

Coherent structure analysis of spatiotemporal chaos

We introduce a measure to quantify spatiotemporal turbulence in extended systems. It is based on the statistical analysis of a coherent structure decomposition of the evolving system. Applied to a cellular excitable medium and a reaction-diffusion model describing the oxidation of CO on Pt(100), it reveals power-law scaling of the size distribution of coherent space-time structures for the state of spiral turbulence. The coherent structure decomposition is also used to define an entropy measure, which sharply increases in these systems at the transition to turbulence.

Journal Article↗
PubMed2005

Accuracy, reliability, and validity of a spatiotemporal gait analysis system.

BACKGROUND: Making evidence-based decisions in the clinical management of gait dysfunction requires the ability to measure spatiotemporal gait variables validly and reliably. This study examined the accuracy, reliability, and validity of a clinical gait analysis system that is relatively inexpensive and portable, the GaitMat II (GM). METHODS: The trustworthiness of measures taken with the GM was investigated by comparing the placement of the switches on three different GM systems. Measures taken with the GM system were compared with the same measures taken simultaneously with the Vicon motion analysis system, using a repetitive dynamic signal presented to both systems. FINDINGS: Variability was present in the placement of switches on the surfaces of different GM systems. The variability in switch placement was much less than the normal variability of most gait variables measured with the GM. Excellent agreement was found between the GM and Vicon systems for timing variables but poor agreement was found for distance variables. The mean difference between the GM and Vicon measures for distance variables would have little clinical significance in adults for distance measures such as step length or stride length. CONCLUSION: The results of these studies support the reliability and validity of the GaitMat II as a clinical gait analysis tool.

Biomechanical Phenomena↗
PubMed1995

Factor analysis of spatiotemporal and ethological measures in the murine elevated plus-maze test of anxiety.

Recent research employing the elevated plus-maze to assess anxiety in rodents has incorporated a variety of behavioral elements in addition to the standard parameters of entries onto and time spent in the aversive open arms. In the present study, we have used a large database comprising the behavioral profiles of 90 undrugged mice to examine the relationship between the standard spatiotemporal measures and a range of specific behaviors related to the defensive repertoire of the mouse. A factor analysis applied to the standard measures revealed two factors related to anxiety and locomotor activity. The simple addition of center time (an infrequently recorded measure) to the analysis yielded a third factor, most probably related to decision making. A large-scale factor analysis applied to all measures further confirmed the existence of factors related to anxiety, locomotor activity, and decision making, and revealed three further factors thought to represent risk assessment, vertical activity, and exploratory behavior. Thus, the inclusion of ethological measures not only confirmed prior knowledge based on a very limited range of measures, but also demonstrated the existence of additional behavioral dimensions. The potential applications of this knowledge are discussed.

Animals↗
PubMed2000

Spatiotemporal signal analysis via the phase velocity transform.

The phase velocity transform (PVT) is an integral transform that divides a function of space and time into components that propagate at uniform phase velocities without distortion. This paper examines the PVT as a method to analyze spatiotemporal fluctuation data. The transform is extended to systems with discretely sampled data on a periodic domain, and applied to data from eight azimuthally distributed probes on the Sustained Spheromak Physics Experiment (SSPX). This reveals features not shown by Fourier analysis, particularly regarding nonsinusoidal mode structure.

Journal Article↗
PubMed2000

Analysis of spatiotemporally periodic behavior in lattices of coupled piecewise monotonic maps.

We study the stability of spatiotemporally periodic orbits in 1-d lattices of piecewise monotonic maps coupled via translationally invariant coupling and periodic boundary conditions. States of such systems have independent spatial and temporal periodicities and their stability can be studied through the analysis of a single, uniquely identified reduced matrix of size kxk when the system size is MxM, for M=kN, a multiple of k. This result applies for arbitrary temporal periods and is valid for all coupled map lattice systems coupled in a translationally invariant manner with stability matrices which are irreducible and non-negative, as in the present case. Our analysis could be useful in the analysis of stability regions and bifurcation behavior in a variety of spatially extended systems.

Journal Article↗
PubMed2026

Spatiotemporal genomic analysis and risk assessment of the plasmids carrying blaOXA-48-like genes based on a large-scale international dataset.

BACKGROUND: The spread of OXA-48-like carbapenemases represents a major public health challenge. Although previous studies have investigated OXA-48-like carbapenemases risk factors, nosocomial dissemination, and plasmid dynamics, an integrated plasmid-centered framework combining complete plasmid mining, transmission-unit analysis, phylogenetic reconstruction, and machine learning-based risk assessment remains limited. METHODS: We systematically collected 747 complete plasmid sequences carrying blaOXA-48-like genes from the NCBI database, establishing the largest collections of complete plasmid sequences to date. Using an integrative framework of population genomics, phylogenetic dating, and machine learning, this study aimed to characterize the dissemination patterns, plasmid replicon diversity, transmission units, mobile genetic elements, co-resistance profiles, and risk classification of these plasmid. RESULTS: Plasmids carrying blaOXA-48-like genes were detected across 50 countries on six continents, with blaOXA-48 predominating in Europe, blaOXA-181 in South Asia, and blaOXA-232 largely in Asia. IncL and ColKP3/IncX3 replicons, together with Tn1999.2 and other MGEs, were central drivers of plasmid maintenance and spread. Sixteen transmission units were defined, with AA068_Cluster3 estimated to have originated in the Netherlands around 2005 before expanding to Europe, the Middle East, Asia, and North America. Co-resistance analyses revealed frequent modules involving aminoglycoside and quinolone resistance, with qnrS1 and aph(3'')-Ib most prevalent. Notably, high-risk transposon structures were often identified in non-clinical environments, underscoring their cross-ecological transmission potential. Machine learning-based classification models showed good internal performance for predefined composite-risk categories, with plasmid mobility, clinical/non-clinical source composition, and host background contributing to the classification results. CONCLUSIONS: This study provides a large-scale plasmid-centered genomic analysis of publicly available complete plasmid sequences carrying blaOXA-48-like genes, integrating transmission-unit inference, phylogeographic reconstruction, mobile genetic element and co-resistance profiling, and composite genomic risk stratification. This gene-centered framework may support future One Health-oriented antimicrobial resistance surveillance and prioritization of plasmids with higher dissemination and resistance potential.

Plasmids↗
PubMed2006

Spatiotemporal noise covariance estimation from limited empirical magnetoencephalographic data.

The performance of parametric magnetoencephalography (MEG) and electroencephalography (EEG) source localization approaches can be degraded by the use of poor background noise covariance estimates. In general, estimation of the noise covariance for spatiotemporal analysis is difficult mainly due to the limited noise information available. Furthermore, its estimation requires a large amount of storage and a one-time but very large (and sometimes intractable) calculation or its inverse. To overcome these difficulties, noise covariance models consisting of one pair or a sum of multi-pairs of Kronecker products of spatial covariance and temporal covariance have been proposed. However, these approaches cannot be applied when the noise information is very limited, i.e., the amount of noise information is less than the degrees of freedom of the noise covariance models. A common example of this is when only averaged noise data are available for a limited prestimulus region (typically at most a few hundred milliseconds duration). For such cases, a diagonal spatiotemporal noise covariance model consisting of sensor variances with no spatial or temporal correlation has been the common choice for spatiotemporal analysis. In this work, we propose a different noise covariance model which consists of diagonal spatial noise covariance and Toeplitz temporal noise covariance. It can easily be estimated from limited noise information, and no time-consuming optimization and data-processing are required. Thus, it can be used as an alternative choice when one-pair or multi-pair noise covariance models cannot be estimated due to lack of noise information. To verify its capability we used Bayesian inference dipole analysis and a number of simulated and empirical datasets. We compared this covariance model with other existing covariance models such as conventional diagonal covariance, one-pair and multi-pair noise covariance models, when noise information is sufficient to estimate them. We found that our proposed noise covariance model yields better localization performance than a diagonal noise covariance, while it performs slightly worse than one-pair or multi-pair noise covariance models - although these require much more noise information. Finally, we present some localization results on median nerve stimulus empirical MEG data for our proposed noise covariance model.

Algorithms↗
PubMed1997

Identification of motor and sensory brain activities during unilateral finger movement: spatiotemporal source analysis of movement-associated magnetic fields.

We investigated the movement-related cortical fields (MRCFs) recorded by magnetoencephalography (MEG) to identify the motor and sensory brain activities at the instant of the unilateral finger movement using six normal subjects. We focused our investigation on the source analysis of the events tightly linked to movement onset, and we used brain electric source analysis (BESA) to model the sources generating MRCFs during the interval from 200 ms before to 150 ms after the movement onset. Four sources provided satisfactory solutions for MRCF activities in this interval. Sources 1 and 2, which were located in the pre-central regions in the hemisphere contralateral and ipsilateral to the moved finger, respectively, generated the readiness fields (RF), but source 1 was predominant just before movement onset. The motor field (MF), the peak of which was just after movement onset, was mainly generated by source 1. Sources 3 and 4 were located in the post-central regions in the hemisphere contralateral and ipsilateral to the moved finger, respectively. The first motor evoked field (MEF-I), the peak of which was about 80 ms after the movement, was mainly generated by source 3, but with the participation of sources 1, 2 and 4. The results indicated that the activities of both pre -and post-central regions in bilateral hemispheres were related to voluntary movements, although the predominant areas varied over time. This is the first noninvasive study to clarify the complex spatiotemporal activities relating movements in humans using a multi-channel MEG system.

Adult↗
PubMed2007

Depth-resolved optical imaging and microscopy of vascular compartment dynamics during somatosensory stimulation.

The cortical hemodynamic response to somatosensory stimulus is investigated at the level of individual vascular compartments using both depth-resolved optical imaging and in-vivo two-photon microscopy. We utilize a new imaging and spatiotemporal analysis approach that exploits the different characteristic dynamics of responding arteries, arterioles, capillaries and veins to isolate their three-dimensional spatial extent within the cortex. This spatial delineation is validated using vascular casts. Temporal delineation is supported by in-vivo two-photon microscopy of the temporal dynamics and vascular mechanisms of the arteriolar and venous responses. Using these techniques we have been able to characterize the roles of the different vascular compartments in generating and controlling the hemodynamic response to somatosensory stimulus. We find that changes in arteriolar total hemoglobin concentration agree well with arteriolar dilation dynamics, which in turn correspond closely with changes in venous blood flow. For 4-s stimuli, we see only small changes in venous hemoglobin concentration, and do not detect measurable dilation or ballooning in the veins. Instead, we see significant evidence of capillary hyperemia. We compare our findings to historical observations of the composite hemodynamic response from other modalities including functional magnetic resonance imaging. Implications of our results are discussed with respect to mathematical models of cortical hemodynamics, and to current theories on the mechanisms underlying neurovascular coupling. We also conclude that our spatiotemporal analysis approach is capable of isolating and localizing signals from the capillary bed local to neuronal activation, and holds promise for improving the specificity of other hemodynamic imaging modalities.

Animals↗
PubMedDate not supplied

Eigenvectors and eigenfunctions in spatiotemporal EEG analysis.

As a supplement to the article "An Eigenfunction Approach to the Inverse Problem of EEG" by Hjorth and Rodin in Brain Topography, 1988, 1 (2): 79-86, this paper discusses in greater detail the interrelations between the concepts of EEG sample vector, eigenvalue and eigenvector. It also describes how the method for assigning locations to uncorrelated EEG basic waveforms named eigenfunctions can be further developed by normalizing the EEG samples to unity global field power before computation of covariance. This enhances local persistence as a feature for revealing low-amplitude activity of possible diagnostic significance, even in the presence of more dominant activity.

Electroencephalography↗
PubMed1997

An analysis of spatiotemporal variability during prehension movements: effects of object size and distance.

Human prehension movements have been studied with regard to the parallel processing of motor control and sensorimotor coordination. Temporal aspects of the movement (e.g., onset time and duration) have been studied extensively, while spatial aspects have not been studied systematically. Thus, the purpose of this study was to examine spatiotemporal variability of the transport (wrist trajectory) and grasp (grip aperture between the index finger and the thumb) components. In this experiment, the extrinsic (e.g., distance) and intrinsic object properties (e.g., object size) were manipulated. Subjects were required to pick up an aluminum cylinder as quickly and accurately as possible using the index finger and the thumb. It was found that object size significantly affected both transport and grasp components. Distance mainly affected the transport component. These kinematic results were consistent with the findings of earlier studies. Furthermore, the distribution of mean within-subject variability across normalized movement time for the transport component was not the same as that of the grasp component, suggesting that the different motor control processes exist. The peak amplitudes in variability of the wrist trajectory and the grip aperture were obtained at similar points throughout movement time. Furthermore, the peak of wrist variability depended on distance not object size, while that of aperture variability depended on both distance and object size. These results strongly support the hypothesis that the grasp component is adjusted using dynamic information provided from the transport component as the wrist moves toward the object. We also found that wrist variability converged to the target point, while aperture variability was biphasic: it converged, at least, around the point of maximum aperture in the first phase and then remained constant in the second phase. This result suggests that the two components are under different control processes. We hypothesize that the transport component can be modeled as a single feedforward system, while the grasp component can be divided into two separate mechanisms.

Adult↗
PubMed2004

Direct observation and quantitative analysis of spatiotemporal dynamics of individual living monocytes during transendothelial migration.

OBJECTIVE: To visualize and quantitatively analyze spatiotemporal dynamics of individual living monocytes during transendothelial migration (TEM). METHODS AND RESULTS: We developed an in vitro new experimental system using confocal laser scanning microscope with following two improvements: (1) ultra thin collagen gel layer (30-50 microm thick) constructed under human umbilical vein endothelial cell layer for three-dimensional observation with high magnification; (2) appropriate fluorescent labeling of living monocytes and endothelial cells to keep highest cell activity. Individual monocytes behaved quite diversely. Approximately 70% of adhered monocytes directionally crawled to intercellular junction, and started invasion. Time from adhesion to start of invasion was 8.6 +/- 5.4 min (mean +/- S.D., n=61 monocytes). Approximately 80% of such invading monocytes completed TEM, but remaining 20% of once invading monocytes hesitated transmigration, and returned onto the endothelial surface. Time from start to finish of invasion was 6.3 +/- 3.2 min (mean +/- S.D., n=53 monocytes). CONCLUSIONS: Using our collagen gel-based newly-developed system, we visualized and quantitatively analyzed detailed spatiotemporal, three-dimensional dynamics of individual living monocytes during TEM. We revealed that monocytes encountered at least two hurdles, at starting invasion, and leaving endothelium, to achieve complete TEM. Approximately 56% (80% of 70% of adhered monocytes) passed both hurdles.

Cell Movement↗
PubMed2005

Analysis of spatiotemporal regulation of aromatase in the brain using transgenic mice.

Brain aromatase is widely distributed in the vertebrates, from fish to mammals, and plays important roles in functional reproductive behavior through production of estrogen as a neurosteroid. It is expressed only in the nerve cells of specific brain regions with a transient peak in the neonatal period when sexual behavior becomes organized, and therefore provides a good model system to study regulatory mechanism of cell-specific, brain region-specific, and developmental stage-specific expression. To elucidate spatiotemporal regulation of brain aromatase, we prepared transgenic mice carrying a reporter gene under the promoter of brain-specific exon 1f of the mouse aromatase gene. The reporter transgene carrying a 6.5 kb upstream region of the brain-specific promoter accurately reproduced the spatiotemporal expression patterns of aromatase in mouse brain, whereas transgenes carrying smaller fragments of the promoter showed ambiguous or inconsistent expression patterns. The binding sites of Aro-AI, Aro-AII, and Aro-B for nuclear factors were also identified in the proximal region of the exon 1f brain-specific promoter. Introduction of a mutation into the Aro-AII site in the reporter transgene carrying -6.5 kb promoter region of exon 1f caused complete alteration of the spatiotemporal expression pattern of the reporter gene in the transgenic mice. These results indicate that the -6.5 kb promoter region of exon 1f is the minimal essential element for brain-specific regulation, with both proximal and distal promoter regions required for accurate spatiotemporal expression of aromatase in the mouse brain.

Animals↗
PubMed2000

Spatiotemporal source analysis of vocalization-associated magnetic fields.

The vocalization-related cortical fields (VRCF) following vowel vocalization were studied by magnetoencephalography (MEG) in eight normal subjects. A multiple-source model, BESA (Brain Electric Source Analysis), was applied to elucidate the generating mechanism of VRCF in the period from 150 ms before to 150 ms after the onset of vocalization. Six sources provided satisfactory solutions for VRCF activities during that period. Sources 1 and 2, which were activated from approximately 150 ms before the vocalization onset, were located in laryngeal motor areas of the left and right hemispheres, respectively. Sources 5 and 6 were located in the truncal motor area in each hemisphere, and they were very similar to sources 1 and 2 in terms of temporal change of activities. Sources 3 and 4 were located in the auditory cortices of the left and right hemispheres, respectively, and they appeared to be activated just after the vocalization onset. However, all six sources were temporally overlapped in the period approximately 0-100 ms after the vocalization onset. The present results suggested that the bilateral motor cortices, probably laryngeal and truncal areas, were activated just before the vocalization. We considered that the activities of the bilateral auditory areas after the vocalization were the response of the subject's central auditory system to his/her own voice. The motor and auditory activities were temporally overlapped, and BESA was very useful to separate the activities of each source.

Adult↗
PubMed1999

Spatiotemporal EEG analysis and distributed source estimation in presurgical epilepsy evaluation.

In the attempts to localize electric sources in the brain on the basis of multichannel EEG and/or MEG measurements, distributed source estimation procedures have become of increasing interest. Several commercial software packages offer such localization programs and results using these methods are seen more and more frequently in the literature. It is crucial that the users understand the similarities and differences of these methods and that they become aware of the advantages and limitations that are inherent to each approach. This review provides this information from a theoretical as well as from a practical point of view. The theoretical part gives the algorithmic basis of the electromagnetic inverse problem and shows how the different a priori assumptions are formally integrated in these equations. The authors restrict this formalism to the linear inverse solutions i.e., those solutions in which the inversion procedure can be represented as a matrix applied to the data. It will be shown that their properties can be best characterized by their resolution kernels and that methods with optimal resolution matrices can be designed. The authors also discuss the important problem of regularization strategies that are used to minimize the influence of noise. Finally, a new kind of inverse solution, termed ELECTRA (for ELECTRical Analysis), is presented that is based on constraining the source model on the basis of the currents that can actually be measured by the scalp recorded EEG. The practical part of the review illustrates the localization procedures with different clinical data sets. Three aspects become important when working with real data: 1) Clinical data is usually far from ideal (limited number of electrodes, noise, etc.). The behavior of inverse procedures in such unfortunate situations has to be evaluated. 2) The selection of the time points or time periods of interest is crucial, especially in the analysis of spontaneous EEG. 3) Additional information coming from other modalities is usually available and can be incorporated. The authors are illustrating these important points in the case of interictal and ictal epileptiform activity. Spike averaging, frequency domain source localization, and temporal segmentation based on electric field topographies will be discussed. Finally, the technique of EEG-triggered functional magnetic resonance imaging (fMRI) will be illustrated, where EEG is recorded in the magnet and is used to synchronize fMRI acquisition with interictal events. The analysis of both functional data, i.e. the EEG in terms of three-dimensional source localization and the EEG-triggered fMRI, combines the advantages of the two techniques: the temporal resolution of the EEG and the spatial resolution of the fMRI.

Adult↗
PubMed1999

Analysis of spatiotemporal signals: a method based on perturbation theory.

We present a method of analyzing spatiotemporal signals with respect to its underlying dynamics. The algorithm aims at the determination of spatial modes and a criterion for the number of interacting modes. Simultaneously, a way of filtering of nonorthogonal noise is shown. The method is discussed by examples of simulated stable fixpoints and the Lorenz attractor.

Journal Article↗