Socioeconomic variation in attitudes to eating and weight in female adolescents.

This study was stimulated by J. Sobal and A. J. Stunkard's (1989) theory that differences in deliberate weight control could underlie the socioeconomic gradient in adult weight. Female adolescents (N=1,248) completed measures of socioeconomic status, social norms for weight, weight ideals, attitudes to weight, and weight control behaviors. Higher socioeconomic status adolescents had greater awareness of the social ideals of slimness and had more family and friends who were trying to lose weight. They also defined a lower body mass index as "fat" and were more likely to have used healthy weight control methods. The results support the idea that socioeconomic differences in weight-related attitudes and behaviors may mediate the development of a gradient in weight.     

Attachment and loss: a test of three competing models on the association between attachment-related avoidance and adaptation to bereavement

It is widely assumed that emotionally avoidant or defensive individuals will have a difficult time adjusting to the loss of a loved one. However, recent research suggests that defensive individuals tend to adapt quite well to loss. Such findings pose a number of challenges to attachment theory--a theory that has traditionally held that emotional avoidance is indicative of poor psychological adjustment. In this article, the authors argue that contemporary models of individual differences in adult attachment allow the derivation of at least three competing hypotheses regarding the relationship between avoidant attachment and adaptation to loss. These hypotheses are tested using two-wave data on 59 bereaved adults. Results indicate that whereas some avoidant individuals (i.e., those who are fearfully avoidant) have a difficult time adapting to the loss of a loved one, other avoidant adults (i.e., those who are dismissingly avoidant) show a pattern of resilience to loss.     

Separable neural components in the processing of black and white faces

In a study of the neural components of automatic and controlled social evaluation, White participants viewed Black and White faces during event-related functional magnetic resonance imaging. When the faces were presented for 30 ms, activation in the amygdala-a brain region associated with emotion-was greater for Black than for White faces. When the faces were presented for 525 ms, this difference was significantly reduced, and regions of frontal cortex associated with control and regulation showed greater activation for Black than White faces. Furthermore, greater race bias on an indirect behavioral measure was correlated with greater difference in amygdala activation between Black and White faces, and frontal activity predicted a reduction in Black-White differences in amygdala activity from the 30-ms to the 525-ms condition. These results provide evidence for neural distinctions between automatic and more controlled processing of social groups, and suggest that controlled processes may modulate automatic evaluation.     

Attention speeds binocular rivalry

During binocular rivalry, incompatible images presented dichoptically compete for perceptual dominance. It has long been debated whether binocular rivalry can be controlled by attention. Most studies have shown that voluntary control over binocular rivalry is limited. We sought to remove attention from binocular rivalry by presenting a concurrent task. Diverting attention slowed the rivalry alternation rate, and did so in proportion to the difficulty of the concurrent task. Even a very demanding distractor task, however, did not arrest rivalry alternations completely. Given that diverting attention was equivalent to lowering the contrast of the rival stimuli, the ability of attention to speed binocular rivalry is most likely due to an increase in the effective contrast of the stimuli through boosting the gain of the cortical response. This increase in effective contrast will ultimately lead to a perceptual switch, thereby limiting voluntary control. Thus, attention speeds rivalry alternations, but has no inherent control over the rivalry process.     

Eye-hand interactions in tracing and drawing tasks

We report a preliminary analysis of the interactions between eye and hand during tracing and drawing of four simple shapes. Eye and hand movements were recorded using the ASL 504 system and the Flock of Birds system, respectively. During tracing, pen tip and eye were tightly coupled, with participants making a series of small saccades just in front of the moving pen, interspersed with periods of smooth pursuit. During drawing, saccades were fewer and larger and pursuit was less frequent. Observed eye-hand interactions suggested a bidirectional relationship between the eye and hand. These findings are explained in terms of the differing degree that the two tasks employ visual detail, external or internal cues and eye-hand coordination.     

Remembering the time: a continuous clock

The neural mechanisms for time measurement are currently a subject of much debate. This article argues that our brains can measure time using the same dorsolateral prefrontal cells that are known to be involved in working memory. Evidence for this is: (1) the dorsolateral prefrontal cortex is integral to both cognitive timing and working memory; (2) both behavioural processes are modulated by dopamine and disrupted by manipulation of dopaminergic projections to the dorsolateral prefrontal cortex; (3) the neurons in question ramp their activity in a temporally predictable way during both types of processing; and (4) this ramping activity is modulated by dopamine. The dual involvement of these prefrontal neurons in working memory and cognitive timing supports a view of the prefrontal cortex as a multipurpose processor recruited by a wide variety of tasks.     

NUANCE: Naturalistic University of Alberta Nonlinear Correlation Explorer

In this article, we describe the Naturalistic University of Alberta Nonlinear Correlation Explorer (NUANCE), a computer program for data exploration and analysis. NUANCE is specialized for finding nonlinear relations between any number of predictors and a dependent value to be predicted. It searches the space of possible relations between the predictors and the dependent value by using natural selection to evolve equations that maximize the correlation between their output and the dependent value. In this article, we introduce the program, describe how to use it, and provide illustrative examples. NUANCE is written in Java, which runs on most computer platforms. We have contributed NUANCE to the archival Web site of the Psychonomic Society (www.psychonomic.org/archive), from which it may be freely downloaded.