Reorganization of functional and effective connectivity during real-time fMRI-BCI modulation of prosody processing

Mechanisms of cortical reorganization underlying the enhancement of speech processing have been poorly investigated. In the present study, we addressed changes in functional and effective connectivity induced in subjects who learned to deliberately increase activation in the right inferior frontal gyrus (rIFG), and improved their ability to identify emotional intonations by using a real-time fMRI Brain-Computer Interface. At the beginning of their training process, we observed a massive connectivity of the rIFG to a widespread network of frontal and temporal areas, which decreased and lateralized to the right hemisphere with practice. Volitional control of activation strengthened connectivity of this brain region to the right prefrontal cortex, whereas training increased its connectivity to bilateral precentral gyri. These findings suggest that changes of connectivity in a functionally specific manner play an important role in the enhancement of speech processing. Also, these findings support previous accounts suggesting that motor circuits play a role in the comprehension of speech.     

Specific and nonspecific thalamocortical functional connectivity in normal and vegetative states

Recent theoretical advances describing consciousness from information and integration have highlighted the unique role of the thalamocortical system in leading to integrated information and thus, consciousness. Here, we examined the differential distributions of specific and nonspecific thalamocortical functional connections using resting-state fMRI in a group of healthy subjects and vegetative-state patients. We found that both thalamic systems were widely distributed, but they exhibited different patterns. Nonspecific connections were preferentially associated with brain regions involved in higher-order cognitive processing, self-awareness and introspective mentalizing (e.g., the dorsal prefrontal and anterior cingulate cortices). In contrast, specific connections were prevalent in the ventral and posterior part of the prefrontal and precuneus, known involved in representing externally-directed attentions. Significant reductions of functional connectivity in both systems, especially the nonspecific system, were observed in VS. These data suggest that brain networks sustaining information and integration may be differentiated by the nature of their thalamic functional connectivity.     

Multilevel covariance structure analysis of sibling substance use and intrafamily conflict

Conventional covariance structure analysis, such as factor analysis, is often applied to data that are obtained in a hierarchical fashion, such as siblings observed within families. A more appropriate specification is demonstrated which explicitly models the within-level and between-level covariance matrices of sibling substance use and intrafamily conflict. Participants were 267 target adolescents (mean age=13.11 years) and 318 siblings (mean age=15.03 years). The level of homogeneity within sibling clusters, and heterogeneity among families, was sufficient to conduct a multilevel covariance structure analysis (MCA). Parental and family-level variables consisting of marital status, socioeconomic status, marital discord, parent use, and modeling of substances were used to explain heterogeneity among families. Marital discord predicted intrafamily conflict, and parent marital status and modeling of substances predicted sibling substance use. Advantages and uses of hierarchical designs and conventional covariance structure software for multilevel data are discussed.     

Fitting multivariage normal finite mixtures subject to structural equation modeling

This paper is about fitting multivariate normal mixture distributions subject to structural equation modeling. The general model comprises common factor and structural regression models. The introduction of covariance and mean structure models reduces the number of parameters to be estimated in fitting the mixture and enables one to investigate a variety of substantive hypotheses concerning the differences between the components in the mixture. Within the general model, individual parameters can be subjected to equality, nonlinear and simple bounds constraints. Confidence intervals are based on the inverse of the Hessian and on the likelihood profile. Several illustrations are given and results of a simulation study concerning the confidence intervals are reported.     

Classical test theory based and factor analytic structural models for analyzing change: A note on differences and similarities

This note is concerned with differences and similarities between structural models for analyzing change, which are conceptualized within two different modelling traditions: the one based on the classical test theory, and that within the factor-analytic approach. It is shown that these two possibilities lead to models for studying change, which are indistinguishable when using for data analytic purposes structural modeling programs, such as LISREL, EQS, COSAN, LISCOMP, RAMONA, EzPATH, SAS PROC CALIS. The reason for this data-analytic equivalence of the two conceptually different types of models is the confounding of their differences in the corresponding implied covariance matrix structures.     

Income and Satisfaction in Russia

The Russian Federation has undergone some drastic economic, social-cultural, and political changes since 1989. The income of nearly half of the population has sunk below the poverty line, which has had an enormous impact on their emotional life. In this study, the relationship between income and satisfaction in Russia was examined. Three theories – need, comparison, and personality theory – were considered. Data were drawn from the first three waves of the Russet panel study (1993–1995). Russians were a little more satisfied with their income and life when they had a higher income. A positive change in income caused an increase in income-satisfaction over a one-year period. Results also showed that there was a reciprocal relationship between income-satisfaction and life satisfaction, indicating that in addition to bottom-up effects, top-down mechanisms were also at work: life satisfaction is partly a sum of domain satisfactions, but it also reflects a more trait-like character. Furthermore, within comparison theory, social comparison had the largest effect on income-satisfaction, closely followed by income needed (person-environment fit theory), and income deserved (equity theory) with the smallest effect. The need effect of income on income-satisfaction became non-significant when controlled for these three comparison mechanisms. Correction for measurement error of relationships between the endogenous variables resulted in overall stronger effects.     

结构实在论评析

The epistemological version of structural realism, proposed by Cao Tianyu, has great influence in the philosophy of science. Syntheses has published a special volume discussing the topic. Cao criticizes anti-realism, as well as the epistemic and ontic versions of structural realism. From the concepts of structure, ontology, and construction, he analyzes the objectivity of scientific theories as having five aspects: construction, historicity, holism, revision, and revolution. This paper systematically analyzes and comments on Cao's structural realism. The author agrees with his criticism of the under-determination thesis, is neutral to his argument against ontological discontinuity, and questions his universal language argument. Translated by Yu Jinlong from Ziran Bianzhengfa Yanjiu 自然辩证法研究 (Studies in Dialectics of Nature), 2006, (11): 34–38     

结构式家庭治疗的理论及其应用评析

本文从结构式家庭治疗的产生背景出发,简要阐述了其建立的相关理论基础和其基本概念。并以结构式家庭治疗在实际运用中的实用性和有待解决的问题为思考点,对结构式家庭治疗的现实运用做了较全面的分析。     

Psychometric examination and normative data for the narcissistic personality inventory 29 item version

The Narcissistic Personality Inventory (NPI) is commonly used in empirical studies of narcissism. Few population-based studies have been published. Our aim was to do a confirmatory factor analysis (CFA) of the NPI 29 item version with a four-factor structure, in two population-based samples and in a patient sample, and present normative population-based data. The NPI-29 was filled in by 324 respondents from the Norwegian population, 231 from the Swedish population and 167 Norwegian psychiatric patients. The four-factor structure of the NPI-29 with Leadership/Power, Exhibitionism/Self-admiration, Superiority/Arrogance and Uniqueness/Entitlement was reproduced in these samples. The CFA models showed good fit indices in all samples. Mean scores on the NPI-29 and four subscales hardly differed between the samples. For the NPI-29 total score and factors, few significant differences were observed. CFA of the samples supported the factor structure of the NPI-29 formerly identified by principal component analysis of the Swedish population sample.     

Standard errors of fit indices using residuals in structural equation modeling

The asymptotic standard errors of the correlation residuals and Bentler's standardized residuals in covariance structures are derived based on the asymptotic covariance matrix of raw covariance residuals. Using these results, approximations of the asymptotic standard errors of the root mean square residuals for unstandardized or standardized residuals are derived by the delta method. Further, in mean structures, approximations of the asymptotic standard errors of residuals, standardized residuals and their summary statistics are derived in a similar manner. Simulations are carried out, which show that the asymptotic standard errors of the various types of residuals and the root mean square residuals in covariance, correlation and mean structures are close to actual ones.The author is indebted to the reviewers for their comments and suggestions which have led to an improvement of this work.