Preattentive processing of heart cues and the perception of heart symptoms in congenital heart disease

The present study was aimed at clarifying whether preattentive processing of heart cues results in biased perception of heart sensations in patients with congenital heart disease (ConHD) who are also highly trait anxious. Twenty-six patients with ConHD and 22 healthy participants categorized heart-related (heart rate) or neutral sensations (constant vibration) as either heart or neutral. Both sensations were evoked using a bass speaker that was attached on the chest of the participant. Before each physical sensation, a subliminal heart-related or neutral prime was presented. Biased perception of heart-sensations would become evident by a delayed categorization of the heart-related sensations. In line with the prediction, a combination of high trait anxiety and ConHD resulted in slower responses after a heart-related sensation that was preceded by a subliminal heart cue. Preattentive processing of harmless heart cues may easily elicit overperception of heart symptoms in highly trait anxious patients with ConHD.     

Coordination between arm and leg movements during locomotion

To evaluate the contrasting dynamical and biomechanical interpretations of the 2:1 frequency coordination between arm and leg movements that occurs at low walking velocities and the 1:1 frequency coordination that occurs at higher walking velocities, the authors conducted an experiment in which they quantified the effect of walking velocity on the stability of the frequency and phase coordination between the individual limb movements. Spectral analyses revealed the presence of 2:1 frequency coordination as a constant feature of the data in only 3 out of 8 participants at walking velocities ranging from 1.0 to 2.0 km/h, in spite of the fact that the eigenfrequencies of the arms were rather similar across participants. The degree of interlimb coupling, as indexed by weighted coherence and variability of relative phase, was lower for the arm movements and for ipsilateral and diagonal combinations of arm and leg movements than for the leg movements. Furthermore, the coupling between all pairs of limb movements was found to increase with walking velocity, whereas no clear signs were observed that the switches from 2:1 to 1:1 frequency coordination and vice versa were preceded by loss of stability. Therefore, neither a purely biomechanical nor a purely dynamical model is optimally suited to explain these results. Instead, an integrative model involving elements of both approaches seems to be required.     

Attention Demands in Balance Recovery following Lower Limb Amputation

The attention demands in balance control after damage to the peripheral sensorimotor system were studied in 12 persons with a recent lower limb amputation. The interference of an arithmetic task with two postural tasks of different complexity (quiet standing and active weight shifting) was examined several times during their rehabilitation while the subjects stood on a force platform. Control data were obtained from healthy subjects. For both postural tasks, persons with amputation performed worse than controls. Quiet standing, a relatively simple task, revealed clear dual-task interference only in the amputation group. Evidence was found for a reduction in dual-task interference as rehabilitation progressed. In contrast, voluntary (feedback-controlled) weight shifting, a more complex task, revealed an equal amount of dual-task interference in persons with amputation and in controls, without changes in interference over the period of rehabilitation. The results indicate that attentional mechanisms may be involved in postural control, depending on both the novelty and complexity of the task. Moreover, a reduction in attention demands of quiet standing may reflect a central adaptation of the postural organization to the peripheral sensorimotor impairments caused by lower limb amputation.     

Bayes factors for testing inequality constrained hypotheses: Issues with prior specification

Several issues are discussed when testing inequality constrained hypotheses using a Bayesian approach. First, the complexity (or size) of the inequality constrained parameter spaces can be ignored. This is the case when using the posterior probability that the inequality constraints of a hypothesis hold, Bayes factors based on non‐informative improper priors, and partial Bayes factors based on posterior priors. Second, the Bayes factor may not be invariant for linear one‐to‐one transformations of the data. This can be observed when using balanced priors which are centred on the boundary of the constrained parameter space with a diagonal covariance structure. Third, the information paradox can be observed. When testing inequality constrained hypotheses, the information paradox occurs when the Bayes factor of an inequality constrained hypothesis against its complement converges to a constant as the evidence for the first hypothesis accumulates while keeping the sample size fixed. This paradox occurs when using Zellner's g prior as a result of too much prior shrinkage. Therefore, two new methods are proposed that avoid these issues. First, partial Bayes factors are proposed based on transformed minimal training samples. These training samples result in posterior priors that are centred on the boundary of the constrained parameter space with the same covariance structure as in the sample. Second, a g prior approach is proposed by letting g go to infinity. This is possible because the Jeffreys–Lindley paradox is not an issue when testing inequality constrained hypotheses. A simulation study indicated that the Bayes factor based on this g prior approach converges fastest to the true inequality constrained hypothesis.     

Retrospective Denial as A Coping Method

Worldwide, gastric cancer is one of the most common and fatal cancers. The majority of patients present with an advanced stage of disease. Even with use of palliative chemotherapy most patients die within 1?year after diagnosis. Medical psychological attention after a diagnosis of incurable cancer is focused on end of life support. This paper presents the care of a patient treated with palliative intent with chemotherapy for an irresectable histologically confirmed gastric cancer. When, unexpectedly prolonged symptom free survival followed, the reaction of the patient came as a surprise to the attending medical team. In this case history we urge those who care for incurable cancer patients, that the rare patient who survives against all odds may require special psychological care.     

The central domains of personality pathology in psychiatric patients

There is general agreement that the classification of personality disorders in DSM-IV is unsatisfactory. We systematically reviewed all studies that have analyzed patterns of personality disorder symptoms and signs in psychiatric patients; twenty-two papers were included in the final synthesis. There is reasonable consistency over the number and type of personality pathology traits reported despite differing samples, varying assessment methods, and different statistical manipulations. There are three or four high order traits; an externalizing factor incorporating borderline, narcissistic, histrionic, and antisocial traits (the latter is sometimes recorded as a separate trait); an internalizing factor incorporating avoidant and dependent traits; a schizoid factor; and often a compulsive factor. Using these domains of personality pathology would simplify classification, have higher clinical utility, and allow relatively easy translation of current research.     

Reward, punishment, and cooperation: a meta-analysis

How effective are rewards (for cooperation) and punishment (for noncooperation) as tools to promote cooperation in social dilemmas or situations when immediate self-interest and longer term collective interest conflict? What variables can promote the impact of these incentives? Although such questions have been examined, social and behavioral scientists provide different answers. To date, there is no theoretical and/or quantitative review of rewards and punishments as incentives for cooperation in social dilemmas. Using a novel interdependence-theoretic framework, we propose that rewards and punishments should both promote cooperation, and we identify 2 variables—cost of incentives and source of incentives—that are predicted to magnify the effectiveness of these incentives in promoting cooperation.A meta-analysis involving 187 effect sizes revealed that rewards and punishments exhibited a statistically equivalent positive effect on cooperation (d =0.51 and 0.70, respectively). The effectiveness of incentives was stronger when the incentives were costly to administer, compared to free. Centralization of incentives did not moderate the effect size. Punishments were also more effective during iterated dilemmas when participants continued to interact in the same group, compared to both (a) iterated dilemmas with reassignment to a new group after each trial and (b) one-shot dilemmas. We also examine several other potential moderators, such as iterations, partner matching, group size, country, and participant payment. We discuss broad conclusions, consider implications for theory, and suggest directions for future research on rewards and punishment in social dilemmas.     

Bayesian evaluation of informative hypotheses for multiple populations

The software package Bain can be used for the evaluation of informative hypotheses with respect to the parameters of a wide range of statistical models. For pairs of hypotheses the support in the data is quantified using the approximate adjusted fractional Bayes factor (BF). Currently, the data have to come from one population or have to consist of samples of equal size obtained from multiple populations. If samples of unequal size are obtained from multiple populations, the BF can be shown to be inconsistent. This paper examines how the approach implemented in Bain can be generalized such that multiple-population data can properly be processed. The resulting multiple-population approximate adjusted fractional Bayes factor is implemented in the R package Bain.