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PubMed2006

Impulsivity, aggressiveness, and DSM-IV personality disorders.

The aim of this study is to assess whether impulsive and aggressive traits can be placed on a continuum with DSM-IV Cluster B Personality Disorders (PDs) and to determine if different aspects of these personality traits are specifically associated with individual Cluster B PDs. The study group comprised 461 outpatients admitted consecutively to a clinic that specializes in the diagnosis and treatment of PDs. Principal component analyses clearly suggested a five-factor structure of both normal and psychopathological personality traits. Importantly, measures of impulsivity, aggressiveness and novelty seeking formed a part of the principal component that clustered all Cluster B PDs. Regression analyses indicated that impulsive traits were selectively associated with Borderline PD whereas different aspects of aggressiveness were useful in discriminating Narcissistic PD from Antisocial PD. Sensation seeking traits formed a part of Histrionic PD. These results indicate that impulsive/aggressive traits may be useful in explaining both why Cluster B PDs tend to covary, and why they frequently differ in clinical pictures and courses.

Adult↗

PubMed1999

Behavioral organization is independent of locomotor activity in 129 and C57 mouse strains.

Assessing locomotor behavior is a standard methodology to characterize the behavioral phenotype of a genetic manipulation. Typically, levels of locomotor activity are measured using various methods that are based on the frequency of photobeam breaks or distance traveled as assessed by video-tracking systems. Locomotor behavior, however, is multi-dimensional and reflects the combined influences of multiple processes. Here, we examine the number of independent dimensions of locomotor behavior in mice based on measures derived from a video-tracking system. In addition, we test the hypothesis that locomotor behavior varies substantially across mouse strains. 84 mice were tested for 30 min in a 41 x 41 cm enclosure. Based on previous investigations in rats, we also assessed the spatial and dynamical aspects of locomotor behavior using the spatial scaling exponent, d, and the dynamical entropy, h. A principal component analysis and a one-way repeated measure ANOVA were conducted. C57 mouse strains differ substantially from 129 mouse strains on almost all measures of locomotor behavior. The principal component analysis revealed that two independent factors influence this set of measures. The first factor reflects the amount or level of locomotor activity, the second factor quantifies the degree of spatial and dynamical organization of behavior. These strain differences and the existence of at least two independent dimensions when measuring locomotor behavior may help to parse the effects of gene manipulations relative to strain differences in mutant mice.

Algorithms↗

PubMed2006

In vivo near-infrared spectroscopy of rat skin tissue with varying blood glucose levels.

We have performed in vivo measurements of near-infrared rat skin absorption in the 4000-5000-cm(-1) spectral range (2.0-2.5-microm wavelength) during a glucose clamp experiment in order to identify the presence of glucose-specific spectral information. Spectra were collected during an initial 3-h period where the animal's blood glucose concentration was held at its normal value. The blood glucose level was then increased above 30 mM by venous infusion of glucose and held for 2 h, after which it was allowed to return to normal. Spectra were recorded continuously during the procedure and are analyzed to identify spectral changes associated with changes in glucose concentration. Because the change in absorbance due to an increase in glucose concentration is small compared to changes due to other variations (e.g., the thickness of the skin sample), a simple subtraction of absorbance spectra from the hyperglycemic and euglycemic phases is not instructive. Instead, a set of principal components is established from the euglycemic period where the glucose concentration is constant. We then examine the change in absorbance during the hyperglycemic period that is orthogonal to these principal components. We find that there are significant similarities between these orthogonal variations and the net analyte signal of glucose, which suggests that glucose spectral information is present. The analysis described here provides a procedure by which the analytical significance of a multivariate calibration can be evaluated.

Animals↗

PubMed1994

Factors associated with individual differences in clinical measures of speech recognition among the elderly.

In the present study, the speech-recognition performance of 50 subjects aged 63 to 83 years was measured for a wide range of materials (nonsense syllables, monosyllabic words, sentences) and listening conditions (presentation levels of 70 and 90 dB SPL, both in quiet and in a noise background). In addition to complete audiologic evaluations, measures of auditory processing (the Test of Basic Auditory Capabilities [TBAC], Watson, 1987) and cognitive function (Wechsler Adult Intelligence Scale-Revised [WAIS-R], and the Wechsler Memory Scale-Revised [WMS-R], Wechsler, 1981, 1987) were obtained from all subjects. Principal component analyses were applied to each of the three sets of measures (speech-recognition, auditory, and cognitive) prior to examining associations among the sets using canonical analyses. Two principal components captured most of the systematic variation in performance sampled by the set of 20 speech-recognition measures. Hearing loss emerged as the single largest factor associated with individual differences in speech-recognition performance among the elderly, accounting for 70-75% of the total variance in speech-recognition performance, with the measures of auditory processing and cognitive function accounting for little or no additional variance.

Acoustic Stimulation↗

PubMedDate not supplied

Variation in relative fat distribution associated with maturational timing: The Wrocław Growth study.

Complete longitudinal data of 136 boys aged 8-16 years and 124 girls aged 8-15 years were used to evaluate the association between maturational timing and the relative distribution of subcutaneous adipose tissue, specifically a trunk-oriented pattern of distribution. Age at peak height velocity (PHV) was the indicator of maturational timing and three skinfolds (triceps, subscapular, abdomen) were the indicators of subcutaneous fatness. Principal components analysis of the three skinfolds was used to identify indicators of relative subcutaneous adipose tissue distribution. Age at PHV and chronological age significantly influenced scores on the first principal components, which indicated centripetal fat patterning. The data suggest that early maturing subjects accumulate more subcutaneous adipose tissue on the lower trunk compared with later maturing peers of the same age and sex.

Adiposity↗

PubMed1997

Impact of abomasal nematodes on roe deer and chamois body condition in an alpine environment.

Abomasal helminths were examined from 101 roe deer and 43 chamois, shot or found-dead, in the period July-November 1993-95, in the Parco Naturale Paneveggio Pale di San Martino (Italian Eastern Alps). Twelve helminth species were observed in both roe deer and chamois. For both host species, discriminant analysis, using the abundance of each parasite species in the hosts, failed to distinguish between subjects from each of the three study years. For 44 roe deer and 27 chamois data on body weight, body length, foot length, withers height, thoracic circumference and kidney fat index were also available. Principal Component Analysis was performed on the biometrical data in order to group related variables into a few compound variables. In both host species it was possible to identify two principal components, with an explained variance > 80%: the first component, led by body length, was an expression of skeletal development and the second, led by kidney fat index, of nutritional status. Parasite abundance and richness appeared to be negatively correlated with the scores of both skeletal and nutritional Components in the two host species, although only the correlation between parasite abundance and the scores of the nutritional component in roe deer was statistically significant (Spearman r = -0.411; p < 0.05). These results support the susceptibility of roe deer to abomasal helminths, which could be important considering the spatial and nutritional interspecific competition between domestic and wild ruminants often recorded in alpine environments.

Abomasum↗

PubMed2006

Compound-specific isotope analysis coupled with multivariate statistics to source-apportion hydrocarbon mixtures.

Compound Specific Isotope Analysis (CSIA) has been shown to be a useful tool for assessing biodegradation, volatilization, and hydrocarbon degradation. One major advantage of this technique is that it does not rely on determining absolute or relative abundances of individual components of a hydrocarbon mixture which may change considerably during weathering processes. However, attempts to use isotopic values for linking sources to spilled or otherwise unknown hydrocarbons have been hampered by the lack of a robust and rigorous statistical method for testing the hypothesis that two samples are or are not the same. Univariate tests are prone to Type I and Type II error, and current means of correcting error make hypothesis testing of CSIA source-apportionment data problematic. Multivariate statistical tests are more appropriate for use in CSIA data. However, many multivariate statistical tests require high numbers of replicate measurements. Due to the high precision of IRMS instruments and the high cost of CSIA analysis, it is impractical, and often unnecessary, to perform many replicate analyses. In this paper, a method is presented whereby triplicate CSIA information can be projected in a simplified data-space, enabling multivariate analysis of variance (MANOVA) and highly precise testing of hypotheses between unknowns and putative sources. The method relies on performing pairwise principal components analysis (PCA),then performing a MANOVA upon the principal component variables (for instance, three, using triplicate analyses) which capture most of the variability in the original data set. A probability value is obtained allowing the investigator to state whether there is a statistical difference between two individual samples. A protocol is also presented whereby results of the coupled pairwise PCA-MANOVA analysis are used to down-select putative sources for other analysis of variance methods (i.e., PCA on a subset of the original data) and hierarchical clustering to look for relationships among samples which are not significantly different. A Monte Carlo simulation of a 10 variable data set; tanks used to store, distribute, and offload fuels from Navy vessels; and a series of spilled oil samples and local tug boats from Norfolk, VA (U.S.A.) were subjected to CSIA and the statistical analyses described in this manuscript, and the results are presented. The analysis techniques described herein combined with traditional forensic analyses provide a collection of tools suitable for source-apportionment of hydrocarbons and any organic compound amenable to GC-combustion-IRMS.

Chromatography, Gas↗

PubMed1994

Hopelessness in i.v. drug users not in treatment and seeking HIV testing and counselling.

The Beck Hopelessness Scale (BHS) was administered to 2379 intravenous drug users who were not in treatment, unaware of their human-immunodeficiency-virus (HIV) status and seeking HIV testing and counselling. Three BHS principal components were identified reflecting resignation to the futility of changing the future, rejection of the possibility of a hopeful future, and acceptance of the inevitability of a hopeless future. The principal component scores representing these three dimensions were positively related to self-reported depression and suicidal ideation; the rejection scores were positively correlated with confirmed HIV seropositivity.

AIDS Serodiagnosis↗

PubMed2000

Use of gas chromatograms of essential leaf oils to compare clones of Eucalyptus camaldulensis.

Using a gentle vacuum technique essential oils were distilled from the leaves of six clones (29 different trees) of Eucalyptus camaldulensis which had previously been propagated by CSIRO, from four seed lots collected from an area of southern Australia bounded approximately by latitude 26 degrees S and longitude 142 degrees E. Inspection of the analyses of the oils together with principal components analysis (PCA) of the gas chromatograms shows that corresponding profiles (for those clones studied in groups of two, three, four and 20), as indicated by the scores of the principal components, are almost independent of environmental and seasonal conditions.

Journal Article↗

PubMed1997

Revisiting the factor structure for positive and negative symptoms: evidence from a large heterogeneous group of psychiatric patients.

OBJECTIVE: The factor structures of individual positive and negative symptoms as well as global ratings were examined in a diagnostically heterogeneous group of subjects. METHOD: Subjects were identified through a clinical and family study of patients with major psychoses at a VA medical center and evaluated with the Scale for the Assessment of Negative Symptoms and the Scale for the Assessment of Positive Symptoms. For the examination of global-level factor structures (N = 630), both principal-component analysis and factor analysis with orthogonal rotation were used. Factor analysis was used for the examination of item-level factor structures as well (N = 549). RESULTS: The principal-component analysis of global ratings revealed three factors: negative symptoms, positive symptoms, and disorganization. The factor analysis of global ratings revealed a negative symptom factor and a positive symptom factor. The item-level factor analysis revealed two negative symptom factors (diminished expression and disordered relating), two positive symptom factors (bizarre delusions and auditory hallucinations), and a disorganization factor. CONCLUSIONS: The generation of additional meaningful factors at the item level suggests that important information about symptoms is lost when only global ratings are viewed. Future work should explore clinical and pathological correlates of the more differentiated item-level symptom dimensions.

Adult↗

PubMed1997

Validity of the McGill Quality of Life Questionnaire in the palliative care setting: a multi-centre Canadian study demonstrating the importance of the existential domain.

This study was carried out in eight palliative care services in four Canadian cities. A revised version of The McGill Quality of Life Questionnaire (MQOL) is compared to a single-item scale measuring overall quality of life (SIS), and the self-administered version of the Spitzer Quality of Life Index (SA-QLI), to obtain evidence of validity. MQOL total score predicts SIS better than does SA-QLI, although much of the variance remains to be explained. The results of principal components analysis of data using this revised version of MQOL are similar to those from previous MQOL studies with different patient populations. The MQOL subscales, constructed on the basis of principal components analysis, demonstrate acceptable internal consistency reliability. The MQOL measures reflecting physical well-being and existential well-being are important for predicting SIS.

Humans↗

PubMed1987

Morphometric analysis of the forebrain anomalies in the delayed Splotch mutant embryo.

The early development of delayed Splotch mouse embryos was examined histologically using scanning electron microscopy and morphometric techniques. Embryos obtained from matings of mice heterozygous for the delayed Splotch gene exhibited a high incidence of lumbosacral (25%) or cephalic (7%) neural tube defects. The lumbosacral neural tube defects extended from the posterior neuropore region to the tip of the tailbud; cephalic neural tube closure defects were found in the hindbrain and midbrain regions. The frontal region of affected embryos was abnormal in that it was reduced in size, particularly in the developing midface. Histologically, the forebrain region of affected embryos appeared reduced, and the luminal surface of the neuroepithelium was often irregular and infolded. To quantify these alterations and to determine their contribution to the final form of the region, size and areal measurements were recorded and served as input for principal component and cluster analytic techniques. In affected embryos, significant reductions were found in lumen size, in neuroepithelial area but not thickness, and in overall area of forebrain but not hindbrain. Principal component analysis of data from unaffected embryos produced two factors, one containing hindbrain variables and the second forebrain variables; for the affected embryos, three factors were extracted. The first loaded on variables that measured the thickness and area of the neuroepithelium, the second on forebrain variables, and the third on hindbrain variables. Factor scores were then generated from a pooled analysis of normal and affected cases and were analyzed using cluster analysis. Three clusters were identified: one contained eight affected embryos with cephalic neural tube defects; another contained nine affected embryos with lumbosacral neural tube defects and five normal embryos; and the final cluster contained ten unaffected embryos. These results suggest a major role of the delayed Splotch gene on the neuroepithelium itself and support the suggested role of cerebrospinal fluid pressure in normal forebrain histogenesis.

Animals↗

PubMed1984

[Statistical problems in comparative clinical chemistry analysis methods].

The previous workshop on this subject put forward recommendations for the use of statistical methods in the comparison of clinical chemical analytical procedures. In particular, standardized principal components analysis was recommended as a replacement for classical regression analysis. In the present workshop, two non-parametric methods were described, and their advantages and disadvantages, compared with standardized principal components analysis, were discussed.

Chemistry, Clinical↗

PubMed2002

Effects of strain, novelty, and NMDA blockade on auditory-evoked potentials in mice.

People with schizophrenia exhibit impaired ability to modify electroencephalographic event-related potential (ERP) responses to novel stimuli. These deficits serve as a window into the abnormalities of neuronal organization and function and are thought to reflect a component of genetic vulnerability for schizophrenia. We describe differences among inbred mouse strains for ERPs following a novelty detection paradigm, as a model for genetic contributions to disease vulnerability. Auditory-evoked potentials were recorded during an auditory oddball task in nonanesthetized C57BL/6J, C3H/HeJ, and DBA/2J mice prior to and following ketamine (10 mg/kg). Stimuli consisted of 80 sets of 24 standard tones followed by one novel tone. Principal component analysis yielded four temporal components that contribute to the auditory ERP responses to standard and novel stimuli. Two principal components that varied between standard and novel stimuli also differed among inbred mouse strains. Post hoc analyses indicate that strain effects on novelty detection are due to a significant difference between the response to novel and standard tones in C3H/HeJ mice that is absent in the other two strains. Inbred strains of mice vary in their ability to perform neuronal detection of change in the auditory environment. The ability to model novelty detection deficits in mice will aid in identifying genetic contributions to abnormal neuronal organization in people with schizophrenia.

Acoustic Stimulation↗

PubMed2000

Selecting relevant electrode positions for classification tasks based on the electro-encephalogram.

The aim is to describe a general approach to determining important electrode positions when measured electro-encephalogram signals are used for classification. The approach is exemplified in the frame of the brain-computer interface, which crucially depends on the classification of different brain states. To classify two brain states, e.g. planning of movement of right and left index fingers, three different approaches are compared: classification using a physiologically motivated set of four electrodes, a set determined by principal component analysis and electrodes determined by spatial pattern analysis. Spatial pattern analysis enhances the classification rate significantly from 61.3 +/- 1.8% (with four electrodes) to 71.8 +/- 1.4%, whereas the classification rate using principal component analysis is significantly lower (65.2 +/- 1.4%). Most of the 61 electrodes used have no influence on the classification rate, so that, in future experiments, the setup can be simplified drastically to six to eight electrodes without loss of information.

Electrodes↗

PubMed1998

Characterizing global substates of myoglobin.

BACKGROUND: The massive amount of information generated from current molecular dynamics simulations makes the data difficult to analyze efficiently. Principal component analysis has been used for almost a century to detect and characterize data relationships and to reduce the dimensionality for problems in many fields. Here, we present an adaptation of principal component analysis using a partial singular value decomposition (SVD) for investigating both the localized and global motions of macromolecules. RESULTS: Configuration space projections from the SVD analysis of a variety of myoglobin simulations are used to characterize the dynamics of the protein. This technique reveals new dynamical motifs, which quantify proposed hierarchical structures of conformational substates for proteins and provide a means by which configuration space sampling efficiency may be probed. The SVD clearly shows that solvent effects facilitate transitions between global conformational substates for myoglobin molecular dynamics simulations. Lyapunov exponents calculated from the configuration space divergence of 15 trajectories agree with previous predictions for the chaotic behavior of complex protein systems. CONCLUSIONS: Configuration space projections provide invaluable information about protein motions that would be extremely difficult to obtain otherwise. While the configuration space for myoglobin is quite large, it does have structure. Our analysis of this structure shows that the protein hops between a number of distinct global conformational states, much like the local behavior observed for an individual residue.

Computer Simulation↗

PubMed2006

Air-water Henry's law constants for PCB congeners: Experimental determination and modeling of structure-property relationship.

A modified gas-purging technique was used for the determination of Henry's law constants (HLCs) for four non-ortho- and eight mono-ortho-substituted polychlorinated biphenyls (PCBs). The method involves measurement of a compound's concentration in only the water phase while that compound is being stripped isothermally from the solution at a known gas flow rate. HLCs were calculated from the slope of a plot of ln(Cn) versus (1/V)n, where (Sigma 1/V)n = 1/V0 + 1/V1 + ... + 1/V(n-1). The HLCs ranged from 5.6 to 21.8 Pa m3/mol, with an average precision of 13%, and they are comparable to values in the literature. Meta-analysis technique and principal component regression (PCR) were applied to model the relationship between experimentally determined HLC values of 94 PCB congeners and the congeners' structures. Cross-validation yields an optimal model with two principal components. Statistical analysis suggests that HLCs of PCBs are primarily affected by meta-chlorine substitution, a relationship which has never been discussed in the literature. The substitution of chlorines on the biphenyl rings generally leads to smaller HLCs. The predicted HLCs are in good agreement with the experimentally determined values.

Air↗

PubMed2004

Inferring the most likely geographical origin of mtDNA sequence profiles.

In a number of practical cases it is important to determine the likely geographical origin of an individual or a biological sample. A dead body, old bones or a sample of semen may be available. Information on where the sample might come from can assist investigation or research. The first part of this paper is independent of specific data structure. We formulate the problem as a classification problem. Bayes' theorem allows different sources of information or data to be reconciled conveniently. The main part of the paper involves high dimensional data for which simple, standard methods are not likely to work properly. Mitochondrial DNA (mtDNA) data is a typical example of such data. We propose a procedure involving essentially two steps. First, principal component analysis is used to reduce the dimension of the data. Next, quadratic discriminant analysis performs the actual classification. A cross validation procedure is implemented to select the optimal number of principal components. The importance of using separate data sets for model fitting and testing is emphasized. This method distinguishes well between individuals with a self reported European (Icelandic or German) origin and SE Africans. In this case the error rate is 2.0%.

Africa↗