The effect of mechanical context on attentional cost in unimanual coordination

The purpose of this study was to address the attentional cost of sensorimotor coordination by determining if changes to the mechanical context of movement would influence the ability to attend and respond to an alternate stimulus. Nine right-handed participants performed rhythmic pronation and supination movements of the forearm in time with an auditory metronome. A secondary task, consisting of a pedal response to visual probe stimuli, was employed to infer the attentional cost of the coordination task. When the axis-of-rotation (AOR) was placed below the long axis of the forearm, the average time to react (RT) to the probe stimuli was greater for the supinate-on-the-beat condition than for the pronate-on-the-beat condition. Conversely, with the AOR above the forearm, RT for the pronate-on-the-beat pattern was greater than that for the supinate-on-the-beat pattern. Thus, changing the mechanical context of an upper limb coordination task altered the central processing cost required to maintain pattern stability. This finding provides further evidence that the attentional resources required to produce a particular movement are determined by the ease with which the action is executed by the sensorimotor system.     

A general connectionist model of attitude structure and change: the ACS (Attitudes as Constraint Satisfaction) model

A localist, parallel constraint satisfaction, artificial neural network model is presented that accounts for a broad collection of attitude and attitude-change phenomena. The network represents the attitude object and cognitions and beliefs related to the attitude, as well as how to integrate a persuasive message into this network. Short-term effects are modeled by activation patterns due to parallel constraint satisfaction processes, and long-term effects are modeled by weight changes due to the settling patterns of activation. Phenomena modeled include thought-induced attitude polarization, elaboration and attitude strength, motivated reasoning and social influence, an integrated view of heuristic versus systematic persuasion, and implicit versus explicit attitude change. Results of the simulations are consistent with empirical results. The same set of simple mechanisms is used to model all the phenomena, which allows the model to offer a parsimonious theoretical account of how structure can impact attitude change. This model is compared with previous computational approaches to attitudes, and implications for attitude research are discussed.     

Accuracy of judging others’ traits and states: Comparing mean levels across tests

Tests of accuracy in interpersonal perception take many forms. Often, such tests use designs and scoring methods that produce overall accuracy levels that cannot be directly compared across tests. Therefore, progress in understanding accuracy levels has been hampered. The present article employed several techniques for achieving score equivalency. Mean accuracy was converted to a common metric, pi [Rosenthal, R., & Rubin, D. B. (1989). Effect size estimation for one-sample multiple-choice-type data: Design, analysis, and meta-analysis. Psychological Bulletin, 106, 332–337] in a database of 109 published results representing tests that varied in terms of scoring method (proportion accuracy versus correlation), content (e.g., personality versus affect), number of response options, item preselection, cue channel (e.g., face versus voice), stimulus duration, and dynamism. Overall, accuracy was midway between guessing level and a perfect score, with accuracy being higher for tests based on preselected than unselected stimuli. When item preselection was held constant, accuracy was equivalent for judging affect and judging personality. However, comparisons must be made with caution due to methodological variations between studies and gaps in the literature.     

A Genetics Primer for Social Health Research

The recently completed sequencing of the human genome heralds a new era in the study of social influences upon health. Because the interactions between genes and the environment are bidirectional, expertise in the areas of psychosocial processes and health behaviors will be necessary for elucidating how genes, behavior, and the environment interact to affect health outcomes. For investigators whose primary background is in social health research, the terminology used by geneticists may seem like a foreign language. To help navigate this foreign territory, the nature of genetic variation and gene action is presented in non‐technical terms using the serotonin transporter gene as an example because it is thought to influence sensitivity to the social environment. In addition, we describe several methodological pitfalls to be avoided when associating genetic variation with psychosocial and behavioral risk factors for poor health outcomes.     

Human topological task adapted for rats: Spatial information processes of the parietal cortex

Human research has shown that lesions of the parietal cortex disrupt spatial information processing, specifically topological information. Similar findings have been found in non-humans. It has been difficult to determine homologies between human and non-human mnemonic mechanisms for spatial information processing because methodologies and neuropathology differ. The first objective of the present study was to adapt a previously established human task for rats. The second objective was to better characterize the role of parietal cortex (PC) and dorsal hippocampus (dHPC) for topological spatial information processing. Rats had to distinguish whether a ball inside a ring or a ball outside a ring was the correct, rewarded object. After rats reached criterion on the task (>95%) they were randomly assigned to a lesion group (control, PC, and dHPC). Animals were then re-tested. Post-surgery data show that controls were 94% correct on average, dHPC rats were 89% correct on average, and PC rats were 56% correct on average. The results from the present study suggest that the parietal cortex, but not the dHPC processes topological spatial information. The present data are the first to support comparable topological spatial information processes of the parietal cortex in humans and rats.     

Expressive writing buffers against maladaptive rumination

This study examined whether ruminative style moderated the effects of expressive writing. Sixty-nine participants were assessed for ruminative style and depression symptoms at the beginning of their 1st college semester. Participants were then randomized to either an expressive writing or a control writing condition. Changes in depression symptoms were assessed 2, 4, and 6 months later. Results showed that a brooding ruminative style moderated the effects of expressive writing such that among those assigned to the expressive writing condition, individuals with greater brooding scores reported significantly fewer depression symptoms at all of the follow-up assessments relative to individuals with lower brooding scores. In contrast, reflective pondering ruminative style did not moderate the effects of expressive writing on depression symptoms. These findings suggest that expressive writing could be used as a means of reducing depression symptoms among those with a maladaptive ruminative tendency to brood.