Linking major depression and the neural substrates of associative processing

It has been proposed that mood correlates with the breadth of associative thinking. Here we set this hypothesis to the test in healthy and depressed individuals. Generating contextual associations engages a network of cortical regions including the parahippocampal cortex (PHC), retrosplenial complex, and medial prefrontal cortex. The link between mood, associative processing, and its underlying cortical infrastructure provides a promising avenue for elucidating the mechanisms underlying the cognitive impairments in major depressive disorder (MDD). The participants included 15 nonmedicated individuals with acute major depressive episodes and 15 healthy matched controls. In an fMRI experiment, participants viewed images of objects that were either strongly or weakly associated with a specific context (e.g., a beach chair vs. a water bottle) while rating the commonality of each object. Analyses were performed to examine the brain activation and structural differences between the groups. Consistent with our hypothesis, controls showed greater activation of the contextual associations network than did depressed participants. In addition, PHC structural volume was correlated with ruminative tendencies, and the volumes of the hippocampal subfields were significantly smaller in depressed participants. Surprisingly, depressed participants showed increased activity in the entorhinal cortex (ERC), as compared with controls. We integrated these findings within a mechanistic account linking mood and associative thinking and suggest directions for the future.     

Temporal pattern of pre-shooting psycho-physiological states in elite athletes: A probabilistic approach

Objective

The IZOF-based probabilistic approach provides a methodology to study within-individual patterns of a performer's states. So far, the time course of physiological data before performance have not been investigated within the probabilistic methodology framework. The purpose of this study was to examine the value of the probabilistic approach in the assessment of the time course of physiological indicators of arousal/activation and vigilance during the period preceding the shot, in comparison with the performance-based method.

Design

Longitudinal assessment of psycho-physiological data and performance outcomes was conducted on eight elite pistol shooters in a controlled setting.

Methods

Each participant performed 60 air-pistol shots in 2 sessions. Skin conductance level and cardiac activity were recorded. Affective states intensity was evaluated on a modified 11-point Borg scale. Affect, HR and SC level were evaluated with a Performance-based approach and a Probabilistic method, and results compared at an individual level.

Results

Findings showed the higher effectiveness of the probabilistic method to analyse physiological parameters (skin conductance and heart rate) and to describe the physiological mechanisms associated with shooters’ performance.

Conclusions

The probabilistic method better discerned the contribution of arousal/activation and vigilance to optimal and non-optimal performance in elite shooters, thereby providing a sharper representation of the temporal pattern of performers' states before shooting. From an applied perspective, we believe that the probabilistic approach can help athletes become aware of the subtle variations occurring in their psychophysical states during the preparatory period preceding the shot and not only at the moment of shot release.     

Transforming animal species: the case of ‘oncomouse’

In this paper I deal with ethical implications arising from animal biotechnology. I analyse some general questions surrounding the production of transgenic animals through a specific case study: the oncomouse. In particular, I explore ethical factors involved in the production of oncomice. This is because biologists genetically modify animals’ germ cells and refuse to modify human germ cells. I will underline how the international community has thus far justified this ‘ethical difference’. The opinions here expressed are personal and do not commit the European Commission. Maurizio Salvi is member of the Scientific Staff of the Higher Institute of Philosophy, University of Leuven. Currently he is a Scientific Officer (National Expert Detached) of the European Commission, (Directorate-General XII, Science Research and Development, Directorate B.II.3) dealing with Bioethics research.     

The medical student experience with disasters and disaster response

Medical students from New York City were integrally involved in the response by health professionals to aid the families of victims of the September 11, 2001, attacks on the World Trade Center. The present study was performed to investigate the emotional impact of this involvement on medical students from the Mount Sinai School of Medicine in New York City. One hundred fifty-seven students responded to a mail survey that explored their personal and professional involvement in the disaster as well as their psychiatric symptoms in the week after the event and at the time of the survey (3.5 months after the event). Findings suggested a differential emotional impact on female students and on students involved in less supervised and more emotionally intense activities. However, involvement in the relief effort, per se, did not contribute to psychiatric symptomatology. It may have been associated with enhanced professional self-esteem among the students. These findings have implications for future planning of psychiatric response to disasters.     

Artificial organisms as tools for the development of psychological theory: Tolman’s lesson

In the 1930s and 1940s, Edward Tolman developed a psychological theory of spatial orientation in rats and humans. He expressed his theory as an automaton (the "schematic sowbug") or what today we would call an "artificial organism." With the technology of the day, he could not implement his model. Nonetheless, he used it to develop empirical predictions which tested with animals in the laboratory. This way of proceeding was in line with scientific practice dating back to Galileo. The way psychologists use artificial organisms in their work today breaks with this tradition. Modern "artificial organisms" are constructed a posteriori, working from experimental or ethological observations. As a result, researchers can use them to confirm a theoretical model or to simulate its operation. But they make no contribution to the actual building of models. In this paper, we try to return to Tolman's original strategy: implementing his theory of "vicarious trial and error" in a simulated robot, forecasting the robot's behavior and conducting experiments that verify or falsify these predictions.     

The prospect of negotiating: Stress, cognitive appraisal, and performance

Despite a significant literature on the impact of stress on performance in achievement settings, little is known about whether and how stress might matter for would-be negotiators. In two studies, we investigate how bargainers cognitively appraise a looming negotiation, whether its prospect is stressful and what the consequences are for performance. Individuals who appraised a prospective negotiation as a threat experienced more stress ahead of a negotiation, and reached lower quality deals compared to those who had appraised a challenge. Results from a follow-up experiment showed that would-be negotiators who had appraised a threat behaved more passively and were less likely to use tough tactics compared to those who appraised a challenge. Those who appraised a threat also had relatively inaccurate perceptions of their partners’ priorities and interests, which undermined their outcomes. The outcome advantage for those who appraised a challenge was limited to negotiations that contained integrative potential.     

Simultaneous classification and multidimensional scaling with external information

For the exploratory analysis of a matrix of proximities or (dis)similarities between objects, one often uses cluster analysis (CA) or multidimensional scaling (MDS). Solutions resulting from such analyses are sometimes interpreted using external information on the objects. Usually the procedures of CA, MDS and using external information are carried out independently and sequentially, although combinations of two of the three procedures (CA and MDS, or multidimensional scaling and using external information) have been proposed in the literature. The present paper offers a procedure that combines all three procedures in one analysis, using a model that describes a partition of objects with cluster centroids represented in a low-dimensional space, which in turn is related to the information in the external variables. A simulation study is carried out to demonstrate that the method works satisfactorily for data with a known underlying structure. Also, to illustrate the method, it is applied to two empirical data sets.     

Sex differences in reasons for living

An analysis of responses by 837 Italian undergraduate students to the Reasons For Living Inventory indicated women scored higher but less consistently than in previous research on American undergraduates.