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[Study of functional rating scale for amyotrophic lateral sclerosis: revised ALSFRS(ALSFRS-R) Japanese version].

Amyotrophic lateral sclerosis(ALS) is progressive, degenerative, fatal disease of the motor neuron. No efficacious therapy is available to slow the progressive loss of function, but several new approaches including neurotrophic factors, antioxidants and glutamate antagonists, are currently being evaluated as potential therapies. Mortality, and/or time to tracheostomy, muscle strength and pulmonary function are used as primary endpoints in clinical trials for treatment of ALS. The effect of new therapies on the quality of patients' lives are also important, so we sought to develop a rating scale to measure it. The revised ALS Functional Rating Scale(ALSFRS-R), which has addition of items to ALSFRS to enhance the ability to assess respiratory symptoms, is an assessment determining the degree of impairment in ALS patients' abilities to function independently in activities of daily living. It consists of 12 items to evaluate bulbar function, motor function and respiratory function and each item is scored from 0(unable) to 4(normal). We translated the English score into Japanese one with minor modification considering the inter cultural difference. And we examined reliability of the translated scale. As a measure of reliability, the intraclass correlation coefficient(ICC) was evaluated for total score and the Kappa coefficient proposed by Cohen and Kraemer was calculated for each item. Moreover, we examined sensitivity to clinical change over time and carried out the factor analysis to analyze the factorial structure. The subjects were 27 ALS patients and each was scored twice for reliability or three times for sensitivity by 2 to 5 neurologists and if possible, nurses. The ICC for total score was 0.97(95% C. I.; 0.94-0.98). Extension of the Kappa coefficients were 0.48 to 1.00 for inter-rater reliability and the averaged Kappa coefficients were 0.63 to 1.00 for intra rater reliability, respectively. Concerning the factorial structure, the contribution of the first factor(the first principal component) were 53.5% principal factor solution. The factor loadings of items were 0.52-0.91 except "salivation" and this factor almost equal to the simple sum of all items was interpreted as the general degree of deterioration. The promax votation revealed the riginally supposed factor structure with 3 factors(groups of items): neuromuscuclar function, respiratory function and bulbar function. The rating scale correlated with Global clinical impression of change(GCIC) scored by neurologists and declined with time, indicating its sensitivity to change. On the bases of these results, ALSFRS-R(Japanese version) is considered to be highly reliable enough for clinical use.

Activities of Daily Living↗

The influence of stimulus deviance and novelty on the P300 and novelty P3.

This study examined the relationship between ERP components elicited by deviant stimuli by disentangling the P300 and Novelty P3 components, using spatiotemporal principal components analysis and a dense electrode array. The three-tone paradigm was used and the pitch attributes of the tones were systematically manipulated so as to map the amplitude of the ERP components on the stimulus context. A comparison was made between the components elicited by events in the three-stimulus, classical oddball, and novelty oddball paradigms. Responses to deviant stimuli consisted of independent and dissociable ERP components in the 400-600-ms time range: A parietal component (P300) that was larger for targets than rare nontargets and was affected by the difficulty of discrimination, a fronto-central component (Novelty P3) that was larger for novel tones and for rare nontargets in the difficult discrimination condition, and an additional anterior negative component responded similarly to all types of deviant stimuli.

Adolescent↗

[Multidimensional analysis of reactive forces of the foot during normal walking].

The authors present the analysis of the three components of ground reaction forces on both left and right feet on 50 subjects. Fourier analysis shows that a 25-Hz sampling is sufficient to fully characterize the normal gait. The approach used in order to study the data tables built for each component consisted in principal component factor analysis. This multivariate method, which looses the least possible information in relation to raw data, has indicated a high variability between subjects. Concerning the intrasubject variability, great asymmetry occurred between the forward and back forces. With respect to the relationship, the three components, the medial-lateral force was very independent of the two others. Particular classes of normal gait have been proposed.

Adult↗

Quantitative genetics and the evolution of ontogeny. II. Genetic and environmental correlations among age-specific characters in randombred house mice.

In this study, phenotypic, genetic, maternal and residual environmental correlations among all pairs of six ages (17, 24, 31, 38, 45 and 52 days) were calculated for each of five morphometric characters (body weight, head length, trunk length, trunk circumference, and tail length) in ICR randombred house mice. The maternal correlations between ages averaged nearly unity for all characters, and the overall level (and integration, I) of the genetic correlations (mean level = 0.82, mean I = 0.85) was greater than that for the residual environmental correlations (mean level = 0.26, mean I = 0.32). The patterns of the phenotypic and genetic correlations were similar, with the highest correlations being between contiguous ages and a relatively smooth decrease in correlations for increasingly distant ages. Nearly all of the genetic covariation among ages was explained by the first (average = 86%) and second (average = 14%) components derived from principal components analysis of the genetic correlations. Genes with basically equal pleiotropic effects presumably generated the first component, genes with different effects among ages the second component. From the patterns of genetic correlations, it is predicted that direct selection on any given age would result in a moderate, positive response at most other ages, with more change in the height relative to the shape of the growth curve for each characteristic.

Aging↗

Sustainability at the local scale: defining highly aggregated indices for assessing environmental performance. The province of Reggio Emilia (Italy) as a case study.

In order to achieve improved sustainability, local authorities need to use tools that adequately describe and synthesize environmental information. This article illustrates a methodological approach that organizes a wide suite of environmental indicators into few aggregated indices, making use of correlation, principal component analysis, and fuzzy sets. Furthermore, a weighting system, which includes stakeholders' priorities and ambitions, is applied. As a case study, the described methodology is applied to the Reggio Emilia Province in Italy, by considering environmental information from 45 municipalities. Principal component analysis is used to condense an initial set of 19 indicators into 6 fundamental dimensions that highlight patterns of environmental conditions at the provincial scale. These dimensions are further aggregated in two indices of environmental performance through fuzzy sets. The simple form of these indices makes them particularly suitable for public communication, as they condensate a wide set of heterogeneous indicators. The main outcomes of the analysis and the potential applications of the method are discussed.

Cities↗

A biological question and a balanced (orthogonal) design: the ingredients to efficiently analyze two-color microarrays with Confirmatory Factor Analysis.

BACKGROUND: Factor analysis (FA) has been widely applied in microarray studies as a data-reduction-tool without any a-priori assumption regarding associations between observed data and latent structure (Exploratory Factor Analysis).A disadvantage is that the representation of data in a reduced set of dimensions can be difficult to interpret, as biological contrasts do not necessarily coincide with single dimensions. However, FA can also be applied as an instrument to confirm what is expected on the basis of pre-established hypotheses (Confirmatory Factor Analysis, CFA). We show that with a hypothesis incorporated in a balanced (orthogonal) design, including 'SelfSelf' hybridizations, dye swaps and independent replications, FA can be used to identify the latent factors underlying the correlation structure among the observed two-color microarray data. An orthogonal design will reflect the principal components associated with each experimental factor. We applied CFA to a microarray study performed to investigate cisplatin resistance in four ovarian cancer cell lines, which only differ in their degree of cisplatin resistance. RESULTS: Two latent factors, coinciding with principal components, representing the differences in cisplatin resistance between the four ovarian cancer cell lines were easily identified. From these two factors 315 genes associated with cisplatin resistance were selected, 199 genes from the first factor (False Discovery Rate (FDR): 19%) and 152 (FDR: 24%) from the second factor, while both gene sets shared 36. The differential expression of 16 genes was validated with reverse transcription-polymerase chain reaction. CONCLUSION: Our results show that FA is an efficient method to analyze two-color microarray data provided that there is a pre-defined hypothesis reflected in an orthogonal design.

Antineoplastic Agents, Alkylating↗

Selection of representative congener for polychlorinated trans-azobenzenes (PCt-ABs) based on comprehensive thermodynamical and quantum-chemical characterization.

Thirty-one thermodynamical and quantum-chemical descriptors were used to characterize all 209 chloro trans-azobenzenes (Ct-ABs, PCt-ABs) in terms of their environmental stability and specific dioxin-like toxicity. Some of the PCt-ABs are produced as a by-side impurity during the manufacture of 3,4-dichloroaniline (DCA) and its derivatives and thus can be found in technical products of certain chloroaniline herbicides. A prepared basic thermodynamic and quantum-chemical property data matrix of PCt-ABs was interpreted using Principal Component Analysis (PCA). The PCA of the thermodynamic and quantum-chemical data matrix created a three-dimensional model that explained 78% (68% + 6% + 4%) of the total variance in the data set. The loading plot shows that the first Principal Component (PC) is influenced by variables describing molecular weight, polarizability and lipophilicity. The second PC was strongly influenced by the most positive partial charge on atoms and the most negative partial charge on atoms. The third PC depends on energy of the highest occupied molecular orbital. Next, factors extracted from PCA were used for selection of a representative set of eight trans-chloroazobenzene congeners, which seemed in the best way reflect a diverse property of all 209 PCt-ABs.

Chlorobenzenes↗

Attitudes of intensive care nurses towards brain death and organ transplantation: instrument development and testing.

AIMS: This paper reports the development and testing of an instrument assessing attitudes of Korean intensive care unit nurses. BACKGROUND: Reluctance by healthcare professionals to identify brain-dead patients as a potential donor is one reason for a shortfall in transplantable organs in all countries. Organ donation from brain-dead patients is a particularly contentious issue in Korea, following recent legal recognition of brain death within the cultural context of Confucian beliefs. METHOD: A 38-item instrument was developed from the literature and key informant interviews, and validated by an expert panel and a pilot study. A survey was conducted with Korean intensive care unit nurses (n = 520) from October 2003 to January 2004. Principal component analysis with varimax rotation was used to determine construct validity. Item-to-total correlations and Cronbach's coefficient alpha were used to determine the scale's internal consistency and unidimensionality. RESULTS: The scale demonstrated high internal consistency (alpha = 0.88). Principal component analysis yielded a four-component structure: Discomfort, Enhancing quality of life, Willingness to be a donor and Rewarding experience. Overall, Korean intensive care unit nurses showed positive attitudes towards organ transplantation, despite some mixed feelings. CONCLUSION: The attitude scale was reliable and valid for this cohort. Areas were identified where professional development may enhance positive attitudes towards organ transplantation from brain-dead donors. Effective education for intensive care unit nurses is necessary to increase the organ donor pool in Korea. Further research could test the instrument with other populations.

Adult↗

Mapping chemical and bonding information using multivariate analysis of electron energy-loss spectrum images.

Electron energy-loss spectroscopy (EELS) in the transmission electron microscope (TEM) is used to obtain high-resolution information on the composition and the type of chemical bonding of materials. Spectrum imaging, where a full EEL spectrum is acquired and stored at each pixel in the image, gives an exact correlation of spatial and spectral features. However, determining and extracting the important spectral components from the large amount of information contained in a spectrum image (SI) can be difficult. This paper demonstrates that principal component analysis of EEL SIs can be used to extract chemically relevant components. With weighted or two-way scaled principal component analysis, both compositional and bonding information can be extracted. Mapping of the chemical variations in a partially reduced titanium dioxide sample and the orientation-dependent bonding in boron nitride and carbon nanotubes are given as examples.

Journal Article↗

Behavior and source characteristic of PCBS in urban ambient air of Yokohama, Japan.

To understand the behavior and sources of polychlorinated biphenyls (PCBs) in ambient air, gaseous and particulate phase concentrations were measured at Yokohama City, Japan, during March 2002 and February 2003. The concentration of total PCB and TEQ ranged from 62 to 250 pg/m(3) and from 2 to 14 fgTEQ/m(3), respectively. The gas-particle partition coefficient (K(p)) was obtained as a function of temperature. The relationship between the partition coefficient and the sub-cooled liquid vapor pressure (P(L)) was also established (coefficients of determination for log K(p) versus log P(L) plot were >0.76, except for three samples). As a result, the partition ratio of gaseous and particulate phase PCBs can be estimated for an arbitrary temperature. Principal component analysis (PCA) was applied to the source identification of PCBs in ambient air. The concentrations of 122 congeners between tetra-CBs and deca-CB were used as input variables, and three PCs with eigenvalue more than 10 were obtained. The principal component 1 (PC 1) accounted for 43.4% of the total variance, and was interpreted as volatilization from PCB products and/or sites polluted by PCBs. The concentrations of PCB congeners were strongly related with PC 1 which showed high correlation with temperature. PC 2 accounted for 22.3%, and was interpreted as PCBs from incineration sources, while PC 3 accounted for 10.8%, but could not be interpreted.

Air Pollutants↗

Local or global asymmetry in gait of people without impairments.

Using two consecutive gait cycles, simultaneous and bilateral kinetic gait data, the main objectives of this study were (a) to identify the main functional roles of ankle, knee and hip extensors/flexors, and (b) to determine whether the action taken by these muscle groups appears to be symmetric or not. Gait of our able-bodied subjects appears to be asymmetric with significant differences noted between each two corresponding peak muscle moment values. Using principal component analysis (PCA) as a curve structure detection method, task discrepancies were recognized when comparisons were made between each two corresponding representative moment curves at each joint (local asymmetry). Muscle moment behaved symmetrically when the right limb representative curve was compared to its corresponding principal component (PC) at the contralateral limb. Gait of able-bodied subjects appears to be symmetric, while control and propulsion were recognized as two major roles of the extensors and flexors (global gait asymmetry). Symmetrical behavior of the lower limbs should be considered a consequence of local asymmetry which indicates different levels of within and between muscle activities developed at each joint during gait cycles.

Adult↗

Characterisation of stationary phases in subcritical fluid chromatography by the solvation parameter model. II. Comparison tools.

This study is an investigation of numerical and graphical tools for the comparison of the chromatographic stationary phases previously characterized with the solvation parameter model [C. West, E. Lesellier, J. Chromatogr. A, in press]. Numerous methods are presented and discussed: the coefficient ratio comparison, principal component analysis (PCA) and calculation of the distance. The coefficient ratio comparison allows to estimate the weight of a particular type of interaction relative to dispersive interactions, but is not practical when a lot of chromatographic systems need to be compared. The principal component analysis is mainly used to reduce the set of correlated variables, but is not useful for non correlated variables such as the solvation parameters. The distance calculation is an interesting tool to measure the differences between two systems but suffers from a confusion between two notions: the difference in the type of interactions involved in the chromatographic system and the intensity of these interactions. Finally, we chose to associate each stationary phase to a vector in a five-dimensional space, according to a method proposed by Ishihama and Asakawa [Y. Ishihama, N. Asakawa, J. Pharm. Sci., 88(12) (1999) 1305] for the comparison of lipophilicity scales. Thus, the angles between the different vectors are used to compare the selectivities of the stationary phases, and the lengths of the vectors are used to compare the relative intensities of the interactions. This method was applied to different alkyl phases characterized in subcritical fluid chromatography (SubFC). The angle values are well suited to the description of the differences in chromatographic behaviour. As expected, a small angle value is obtained between C8, C12 and C18, when a greater one is noticed between C4 and the longer chain length alkyl bonded phases, showing the different acidity and basicity of the C4 phase. Moreover, a satisfactory correlation is obtained between the length of the vectors and the carbon number of the alkyl chain. The differences between classical alkyl-bonded silica phases and polar-embedded alkyl-bonded phases or fluorinated phases are also conveniently evidenced. Finally, graphical tools are investigated and a new type of representation, based in part on a radar plot, is proposed. This plot allows the comparison of stationary phases without reducing the number of studied variables. The comparisons based on this method are consistent with the observed chromatographic behaviour of the phases compared.

Adsorption↗

Evaluating exposures to complex mixtures of chemicals during a new production process in the plastics industry.

The goal of this study was to monitor emission of chemicals at a factory where plastics products were fabricated by a new robotic (impregnated tape winding) production process. Stationary and personal air measurements were taken to determine which chemicals were released and at what concentrations. Principal component analyses (PCA) and linear regression were used to determine the emission sources of different chemicals found in the air samples. We showed that complex mixtures of chemicals were released, but most concentrations were below Dutch exposure limits. Based on the results of the principal component analyses, the chemicals found were divided into three groups. The first group consisted of short chain aliphatic hydrocarbons (C2-C6). The second group included larger hydrocarbons (C9-C11) and some cyclic hydrocarbons. The third group contained all aromatic and two aliphatic hydrocarbons. Regression analyses showed that emission of the first group of chemicals was associated with cleaning activities and the use of epoxy resins. The second and third group showed strong association with the type of tape used in the new tape winding process. High levels of CO and HCN (above exposure limits) were measured on one occasion when a different brand of impregnated polypropylene sulphide tape was used in the tape winding process. Plans exist to drastically increase production with the new tape winding process. This will cause exposure levels to rise and therefore further control measures should be installed to reduce release of these chemicals.

Air Pollutants, Occupational↗

A morphological study on the classification of maxillary dental arches.

To evaluate the morphology of dental arches, 62 (male: 36, female: 26) paired casts having normal dentitions and occlusion were selected from 396 (age: 18 to 26 years old; male: 257, female: 139) sets of dental study models. The maxillary dentitions were preliminarily classified as square, round-square, round and round V-shaped arches based on the conventional morphological descriptions. Midpoints of the incisor edge (I1(R), I1(L), I2(R), & I2(L), summits of the cuspids (CR & CL), buccal cusps of the premolars (P1(R), P1(L), P2(R), & P2L), mesial buccal cusps of the first and second molars (M1(R), M1(L), M2(R), & M2(L)), and the midpoint (A) of line I1(R)-I1(L) were designated as reference points. From A, let a vertical line intersected line M2(R)-M2(L) at reference point B. The line A-B intersected C(R)-C(L) at reference point E. We evaluated 1) the protrusion of the cuspids by (1) angle I2(R)-C(R)-P1(R) (angle R) + angle I2(L)-C(L)-P1(L) (angle L); 2) the curvature of the anterior teeth by (2) A-B/C(R)-C(L), (3) 180 degrees - angle C(R)-A-C(L), and (4) A-E/C(R)-C(L); 3) the length to width ratio of the dental arch by (5) A-B/M2(R)-M2(L); 4) the degree of roundness of the maxillary arch by estimation of (6) (rtheta5 - rtheta4)R + (rtheta5 - rtheta4)L; and 5) an item (7) for the differentiation of type I and type II round-square arches by relating the bilateral contour and position of break line P1-P2-M1-M2 (i) to line P1-M2 (ii). The data of items (1), (2), (3), (4), (5), and (6) were further standardized and summarized into three essential principal components: 1) the curvature of the anterior teeth, 2) the curvilinear contour of the dental arch, and 3) the length-to-width ratio of the dental arch. The results indicated that: 1) 60% of the maxillary dentitions were round-square arches which showed no prominent principal component; 2) square maxillary arches distinctly showed a small (1) angle R + angle L; 3) round arches were characteristic by small (6) (rtheta5 - rtheta4)R + (rtheta5 - rtheta4)L values; and 4) round V-shaped arches had large (1), (3) and (4) values.

Adolescent↗

The stability of P in coral reef fishes.

The constancy of phenotypic variation and covariation is an assumption that underlies most recent investigations of past selective regimes and attempts to predict future responses to selection. Few studies have tested this assumption of constancy despite good reasons to expect that the pattern of phenotypic variation and covariation may vary in space and time. We compared phenotypic variance-covariance matrices (P) estimated for populations of six species of distantly related coral reef fishes sampled at two locations on Australia's Great Barrier Reef separated by more than 1000 km. The intraspecific similarity between these matrices was estimated using two methods: matrix correlation and common principal component analysis. Although there was no evidence of equality between pairs of P, both statistical approaches indicated a high degree of similarity in morphology between the two populations for each species. In general, the hierarchical decomposition of the variance-covariance structure of these populations indicated that all principal components of phenotypic variance-covariance were shared but that they differed in the degree of variation associated with each of these components. The consistency of this pattern is remarkable given the diversity of morphologies and life histories encompassed by these species. Although some phenotypic instability was indicated, these results were consistent with a generally conserved pattern of multivariate selection between populations.

Animals↗

Dimension selection for feature selection and dimension reduction with principal and independent component analysis.

This letter is concerned with the problem of selecting the best or most informative dimension for dimension reduction and feature extraction in high-dimensional data. The dimension of the data is reduced by principal component analysis; subsequent application of independent component analysis to the principal component scores determines the most nongaussian directions in the lower-dimensional space. A criterion for choosing the optimal dimension based on bias-adjusted skewness and kurtosis is proposed. This new dimension selector is applied to real data sets and compared to existing methods. Simulation studies for a range of densities show that the proposed method performs well and is more appropriate for nongaussian data than existing methods.

Algorithms↗

Keeping pain out of mind: the role of the dorsolateral prefrontal cortex in pain modulation.

Frontal lobe activity during pain is generally linked to attentional processing. We addressed the question of whether 'bottom-up' processing and 'top-down' modulation of nociceptive information dissociate anatomically within the frontal lobe by using PET scanning during painful thermal stimulation of normal and capsaicin-treated skin. We showed recently that pain following normally non-painful heat stimuli on chemically irritated skin (heat allodynia) uniquely engages extensive areas of the bilateral dorsolateral prefrontal (DLPFC), ventral/orbitofrontal (VOFC) and perigenual anterior cingulate (ACC) cortices. Here, we applied principal component analysis (PCA) and multiple regression analysis to study the covariance structure of the volumes of interest (VOI) activated specifically during heat allodynia in 14 male healthy subjects and evaluated the relationship of these VOI to ratings of pain intensity and affect. Results yielded a primary principal component (PC) that correlated positively with intensity and unpleasantness and accounted for activity in the medial thalamus, bilateral anterior insula, ventral striatum, perigenual ACC and bilateral VOFC. Activities in the right and left DLPFC loaded on separate PC and correlated negatively with perceived intensity and unpleasantness. The inter-regional correlation of midbrain and medial thalamic activity was significantly reduced during high left DLPFC activity, suggesting that its negative correlation with pain affect may result from dampening of the effective connectivity of the midbrain-medial thalamic pathway. In contrast, right DLPFC activity was associated with a weakened relationship of the anterior insula with both pain intensity and affect. We propose that the DLPFC exerts active control on pain perception by modulating corticosubcortical and corticocortical pathways.

Adult↗

Relationship among parameters of lake polluted sediments evaluated by multivariate statistical analysis.

In the attempt to assess the relationship and interdependency among sediment toxic pollutants, in particular heavy metals, polycyclic aromatic hydrocarbons (PAH), and linear alkyl sulfonates (LAS) and some of the sediment typical components: inorganic carbon (IC), organic material (OM) and acid volatile sulphides (AVS), multivariate techniques of statistical analysis have been applied to a set of chemical data obtained by the analysis of the sediments of the Trasimeno Lake, a central Italy lake characterized by a large surface (128 km(2)) and a low mean depth (about 4.5 m). The results of principal component analysis (PCA) show interrelationships between: OM content and PAH, Pb, and Cu concentrations of the sediments, LAS and AVS, and AVS and IC. The effect of the different sampling periods on sediment composition and contamination level, and the clustering of the sampling sites as a consequence of pollutant load are also shown. The principal component bi-plot of the variables and samples indicates that PAH have the greatest influence on the separation of samples in the different sampling periods.

Alkanesulfonates↗