Cultural Differences in Attitudes Toward Action and Inaction: The Role of Dialecticism.

The current research examined whether nations differ in their attitudes toward action and inaction. It was anticipated that members of dialectical East Asian societies would show a positive association in their attitudes toward action/inaction. However, members of non-dialectical European-American societies were expected to show a negative association in their attitudes toward action/inaction. Young adults in 19 nations completed measures of dialectical thinking and attitudes toward action/inaction. Results from multi-level modeling showed, as predicted, that people from high dialecticism nations reported a more positive association in their attitudes toward action and inaction than people from low dialecticism nations. Furthermore, these findings remained after controlling for cultural differences in individualism-collectivism, neuroticism, gross-domestic product, and response style. Discussion highlights the implications of these findings for action/inaction goals, dialecticism, and culture.

Stress reactivity following brief treatment for depression: differential effects of psychotherapy and medication.

Psychotherapy and medication treatments are both effective in reducing depressive symptoms. However, only psychotherapy provides an enduring effect by reducing depressive vulnerability following treatment termination. This differential efficacy may reflect mode-specific effects on the longitudinal relationship between depression and stress. The current study examined posttreatment data from 153 outpatients enrolled in the Treatment of Depression Collaborative Research Program. Longitudinal analyses using the latent difference score (LDS) framework (a structural modeling technique that combines features of latent growth curve and cross-lagged regression models) evaluated the temporal relationship between severity of depression and frequency of stressful life events, assessed by interviewers at treatment termination and at 6, 12, and 18 months following treatment. Results supported a stress reactivity model in that stressful events led to elevations in the rate of depression change. Furthermore, multigroup LDS analysis indicated that this longitudinal stress reactivity occurred only for outpatients in the medication conditions. Results demonstrate that the enduring impact of psychotherapy involves the development of enhanced resiliency to stressful life events.

Responding to symptoms of depression and anxiety: emotion regulation, neuroticism, and engagement in risky behaviors.

The current study examined whether neuroticism, emotional regulation deficits, and/or their interaction predict increased engagement in risky behaviors following increases in symptoms of depression or anxiety over the course of 6 weeks. Results of hierarchical linear modeling analyses indicated that individuals who exhibited high levels of both neuroticism and emotional regulation deficits were more likely than other individuals to report increased engagement in risky behaviors following increases in symptoms of either depression or anxiety. Unexpectedly, individuals who exhibited high levels of neuroticism and adaptive emotion regulation strategies exhibited decreased engagement in risky behaviors following increases in depressive or anxious symptoms.

A Bayesian approach to modeling dynamic effective connectivity with fMRI data.

A state-space modeling approach for examining dynamic relationship between multiple brain regions was proposed in Ho, Ombao and Shumway (Ho, M.R., Ombao, H., Shumway, R., 2005. A State-Space Approach to Modelling Brain Dynamics to Appear in Statistica Sinica). Their approach assumed that the quantity representing the influence of one neuronal system over another, or effective connectivity, is time-invariant. However, more and more empirical evidence suggests that the connectivity between brain areas may be dynamic which calls for temporal modeling of effective connectivity. A Bayesian approach is proposed to solve this problem in this paper. Our approach first decomposes the observed time series into measurement error and the BOLD (blood oxygenation level-dependent) signals. To capture the complexities of the dynamic processes in the brain, region-specific activations are subsequently modeled, as a linear function of the BOLD signals history at other brain regions. The coefficients in these linear functions represent effective connectivity between the regions under consideration. They are further assumed to follow a random walk process so to characterize the dynamic nature of brain connectivity. We also consider the temporal dependence that may be present in the measurement errors. ML-II method (Berger, J.O., 1985. Statistical Decision Theory and Bayesian Analysis (2nd ed.). Springer, New York) was employed to estimate the hyperparameters in the model and Bayes factor was used to compare among competing models. Statistical inference of the effective connectivity coefficients was based on their posterior distributions and the corresponding Bayesian credible regions (Carlin, B.P., Louis, T.A., 2000. Bayes and Empirical Bayes Methods for Data Analysis (2nd ed.). Chapman and Hall, Boca Raton). The proposed method was applied to a functional magnetic resonance imaging data set and results support the theory of attentional control network and demonstrate that this network is dynamic in nature.

A structural equation modeling analysis of attentional control: an event-related fMRI study.

We report here the first investigation of the effective connectivity between neural structures supporting attentional control using structural equation modeling and functional magnetic resonance imaging (fMRI). Attentional control was examined by employing a modified version of the flanker task. We found that the inconsistent condition elicited a significantly greater number of path coefficients than the consistent condition. In addition, we report that the strength of the prefrontal paths common to both conditions were not different, but that the remaining six paths were different between conditions. Importantly, these results suggest that the relationship between regions supporting attentional control differ between task conditions but the strength of the relationship between some prefrontal regions is invariant between task conditions. Additionally, we found that the paths were significantly lateralized to the right hemisphere. These results are discussed in relation to theories of the function of each region in attentional control.