Task-specific EMG-characteristics during mental training

Despite a sixty-year tradition of research into ideomotor reaction it is not yet clear, whether myoelectric activity measured during mental training contains only inner-organismic or in addition task-specific information.Our investigation involved one group trained actively in a sensorimotor task (paced contour-tracking), another group which was intermediately instructed to train on a mental level, and a third (control) group which had no instruction for training in the intermediate performances. Measurements were taken of the muscular activity (EMG) of the main working muscle (m. biceps) synchronously to the motion of the target in all three groups.The data were submitted to several time series analysis procedures: auto-correlative measures and power spectra. Correlations were found between the filtered time series of the track and the EMG-activity in the mental training performances. The frequency distribution in the power spectra of the track was found in the power spectra of the active as well as in the mental training groups but not in those of the controls. The results indicate that the myoactivity during mental training clearly shows a task-specific frequency distribution.     

Interindividual differences in alpha and theta power reflect memory performance

Previous research from our laboratory has shown that phasic or event-related changes in alpha and theta band power are related to memory performance. In this study, we test the hypothesis, whether tonic or ‘baseline’ power too is related to memory performance. The ongoing EEG was analyzed for a sample of 60 subjects during five experimental conditions: eyes closed, eyes open, memorizing words and counting backward in steps of 3 and 7. The results show that subjects with good memory performance have significantly larger upper alpha, but less theta and lower alpha power. In contrast to memory, good calculation performers have more beta and theta power than bad performers. These findings were obtained during actual task performance, but in a similar way also during the resting conditions eyes closed and open.     

The role of postdeployment social factors in linking deployment experiences and current posttraumatic stress disorder symptomatology among male and female veterans

Background and Objectives: The postdeployment social context is likely highly salient in explaining mental health symptoms following deployment. The aim of this study was to examine the role of postdeployment social factors (social support and social reintegration difficulty) in linking deployment-related experiences (warfare exposure, sexual harassment, concerns about relationship disruptions, and deployment social support) and posttraumatic stress disorder (PTSD) symptomatology in male and female veterans.

Design: A survey was administered to 998 potential participants (after accounting for undeliverable mail) who had returned from deployment to Afghanistan or Iraq. Completed surveys were received from 469 veterans, yielding a response rate of 47%.

Methods: Hypotheses were examined using structural equation modeling.

Results: For male and female veterans, deployment factors predicted later PTSD symptoms through postdeployment social support and social reintegration, with lower support and higher social reintegration difficulty both associated with higher PTSD symptomatology. While the final models for women and men indicated similar risk mechanisms, some differences in pathways were observed. Sexual harassment presented more of a risk for women, whereas lower social support was a greater risk factor for men.

Conclusions: Postdeployment social factors appear to represent potentially important targets for interventions aiming to reduce the potential impact of stressful deployment experiences.     

Independent retrieval of source dimensions: an extension of results by Starns and Hicks (2005) and a comment on the ACSIM measure

Recently, J. J. Starns and J. L. Hicks (2005) have argued that source dimensions are retrieved independently from memory. In their innovative experiment, manipulating the retrievability of 1 source feature did not affect memory for a 2nd feature. Following C. S. Dodson and A. P. Shimamura (2000), the authors argue that the source memory measure that Starns and Hicks used (known as the average conditional source identification measure) is vulnerable to a response bias in this particular paradigm, and this may undermine Starns and Hicks's conclusion. Starns and Hicks, however, acknowledged this possibility. The authors substantiate this claim by a simulation and by replicating Starns and Hicks's experiment. In 2 further experiments, the authors use an extended multinomial model to analyze data showing that Starns and Hicks's conclusion holds even if results cannot be attributed to response biases.     

Assessment of accurate self-knowledge

Despite ongoing theoretical interest in the accuracy of self-knowledge and its implications for mental health, few researchers have yet to tackle this topic directly. This may be due, in part, to several factors that make assessing individual differences in accurate self-knowledge especially difficult. In this article, we present a method for the assessment of accurate self-knowledge that relies on information gathered from the self, knowledgeable others, and observations of behavior in the laboratory, and we provide psychometric support for this newly developed assessment procedure. Specifically, we present evidence for internal consistency reliability, convergent and discriminant validity, and criterion-related validity. Other researchers interested in studying the accuracy of self-knowledge might wish to adopt this procedure in their own research endeavors.     

Targeting Self-Stigma in Returning Military Personnel and Veterans: A Review of Intervention Strategies

Research suggests that mental health-related stigma significantly decreases the use of mental health services by military personnel and veterans. The goal of this article is to review what is known about mental health stigma as it relates to military personnel and veterans, as well as to offer an interpretive review of self-stigma intervention strategies that have been applied within the field. Target areas for future work and the concerns and challenges faced by interventionists are discussed.     

Assessing Old Order Amish outpatients with the MCMI-III

In this study, we examined Millon Clinical Multiaxial Inventory-III (MCMI-III; Millon, 2009) characteristics in an Old Order Amish outpatient sample (n = 166), with a comparison group of Old Order Amish who were not receiving mental health treatment at the time of testing (n = 80). We also graphically compared the 2 Amish groups to a non-Amish psychiatric sample in the literature. Consistent with our hypotheses, the Old Order Amish outpatients scored significantly higher than the Old Order Amish comparison group on the majority of MCMI-III scales, with mostly medium effect sizes, suggesting that the MCMI-III is a useful personality instrument in discriminating between Old Order Amish clinical and nonclinical groups. In addition, the Amish outpatients scored similar to a non-Amish psychiatric sample in the literature on most personality scales. Future MCMI-III studies with the Amish are needed to replicate and generalize our findings.     

Predeployment, deployment, and postdeployment risk factors for posttraumatic stress symptomatology in female and male OEF/OIF veterans

[Correction Notice: An erratum for this article was reported in Vol 120(4) of Journal of Abnormal Psychology (see record 2011-19996-001). In the article there was an error in the affiliation bylines for Rani Elwy and Susan Eisen. Their affiliations should have been listed as Edith Nourse Rogers Memorial Veterans Hospital and Department of Health Policy and Management, Boston University School of Public Health.] Prior research on risk factors for posttraumatic stress symptomatology (PTSS) in war-exposed Veterans has revealed both direct and indirect mechanisms of risk that span predeployment, deployment, and postdeployment timeframes. The aims of the present study were to identify the mechanisms through which previously documented risk factors contribute to PTSS in a national sample of 579 female and male Veterans deployed to Afghanistan for Operation Enduring Freedom (OEF) or to Iraq for Operation Iraqi Freedom (OIF), as well as to examine the extent to which results mirror associations observed among Vietnam Veterans (King, King, Foy, Keane, & Fairbank, 1999). Consistent with conservation of resources (COR) theory (Hobfoll, 1989, 2001), findings indicated that PTSS is accounted for by multiple chains of risk, many originating in predeployment experiences that place Veterans at risk for additional stress exposure, and foretell difficulty accessing resources in the face of subsequent stressors. Importantly, the majority of previously documented mechanisms were replicated in this study, suggesting key pathways through which risk factors may contribute to PTSS across different Veteran populations. Results also revealed a number of novel risk mechanisms for OEF/OIF female Veterans, particularly with respect to the role of deployment family relationships in risk for PTSS.     

Exploring the robustness of cross-situational learning under Zipfian distributions

Cross-situational learning has recently gained attention as a plausible candidate for the mechanism that underlies the learning of word-meaning mappings. In a recent study, Blythe and colleagues have studied how many trials are theoretically required to learn a human-sized lexicon using cross-situational learning. They show that the level of referential uncertainty exposed to learners could be relatively large. However, one of the assumptions they made in designing their mathematical model is questionable. Although they rightfully assumed that words are distributed according to Zipf's law, they applied a uniform distribution of meanings. In this article, Zipf's law is also applied to the distribution of meanings, and it is shown that under this condition, cross-situational learning can only be plausible when referential uncertainty is sufficiently small. It is concluded that cross-situational learning is a plausible learning mechanism but needs to be guided by heuristics that aid word learners with reducing referential uncertainty.