Cognitive rehabilitation of chronic alcohol abusers

The current literature suggests that individuals who chronically abuse alcohol exhibit a wide variety of cognitive deficits resulting from cerebral dysfunction that is either directly or indirectly related to their alcohol consumption history. Cognitive deficits have been hypothesized as having implications for standard alcohol treatment efficacy as they may directly affect cognitively impaired individuals’ abilities to utilize various treatment modalities. Although evidence is accumulating that suggests this is actually the case, the majority of alcohol treatment programs neither directly consider the impact cognitive deficits have on treatment efficacy nor do they employ cognitive rehabilitation treatment strategies to remediate identified cognitive deficits. Few studies exist that investigate the remediability of neurobehavioral deficits or the efficacy of integrating cognitive rehabilitation strategies into more traditional treatment programs. Empirical investigations conducted to date indicate that some cognitive deficiencies secondary to alcoholism are amenable to cognitive rehabilitation and this remediation is generalizable. Rigorous well-controlled treatment outcome investigations are needed in order to determine the efficacy of cognitive rehabilitation techniques in naturalistic settings using ecological outcome measures. Also, emphasis should be placed on integrating cognitive rehabilitation techniques with proven efficacy into traditional alcoholism treatment programs.     

Evaluation of a “mental effort” hypothesis for correlations between cortical metabolism and intelligence

Previous research indicates that low scores on the Raven's Advanced Progressive Matrices (RAPM) test are associated with increased cortical glucose utilization during problem solving. We hypothesized that previous results may reflect the neurophysiological consequences of patterns of effort requirements; that is, high-effort expenditure from lower aptitude participants (for whom the problems are hard) and low-effort expenditure from higher aptitude participants (for whom the problems are easy). In this experiment, positron emission tomography (PET) data were gathered on participants (N = 28) who solved easy and hard problems that were tailored to the participants' own ability levels, thereby eliminating aptitude group differences in effort requirements. Contrary to previous results, high aptitude was associated with high cortical glucose use. Average aptitude participants showed diminished glucose use in the hard condition. A significant Group X Condition X Hemisphere Effect was also noted, with greater right hemisphere activation in the hard condition for the high-aptitude group. These results demonstrate that the relation of cerebral glucose use and cognitive ability is sensitive to participant and task selection.     

Prediction of mood and risk appraisals from trait measures: Two studies of simulated driving

Two contrasting hypotheses concerning the relationship between personality and mood are distinguished. First, broad traits may relate to emotional temperament, and so predict mood across situations. Second, the interactionist approach to personality implies that narrow, context specific traits may sometimes be the most powerful predictors of mood within situations. This article reports correlations between mood and broad and narrow trait measures, the Eysenck Personality Inventory (EPI; Eysenck and Eysenck, 1964) and the Driving Behaviour Inventory (DBI; Gulian, Matthews, Glendon, Davies and Debney, 1989), within the context of vehicle driving. Mood was measured with the UWIST Mood Adjective Checklist (UMACL; Matthews, Jones and Chamberlain, 1990), in two samples before and after a simulated drive. One sample (N = 73) performed a ‘passive’ drive, in which little interaction with other traffic was required. The second sample (N = 93) performed an ‘active’ driving task, in which subjects had to decide when to overtake other vehicles. Results showed that the DBI traits were more strongly related to mood than EPI traits, particularly following the active drive. The DBI Dislike of Driving scale was the strongest single predictor of post-drive mood. Prior to the drive, subjects also rated accident risk, driving skill, and judgement, for themselves and for a ‘peer’ driver of similar age and sex. Analysis of these data in the combined sample (N = 166) showed that the DBI was the more consistent predictor of self-ratings of risk and driving competence, although some relationships between ratings and the EPI were found. Again, the DBI Dislike of Driving scale was the strongest single predictor of self-ratings. Drivers scoring high on this scale seem immune to drivers' general bias towards rating themselves as safer and more competent than their peers. It is concluded that narrow traits are more predictive than broad traits within the driving context. Data are consistent with the transactional model of driver stress, which proposes that dislike of driving is derived from negative secondary appraisals.     

Human Resource Management Group,University of Nottingham,UK

In a new series of regular reports, research groups active in personnel psychology from a number of countries will present a briefing on work-in-progress. In the first in this series, the HRM Group at the Department of Psychology, University of Nottingham, describe their ongoing work into organization change and training validation, employee socialization, computer-based testing, and personality test construction and assessment centre validation.     

Multiaxial taxonomy of fibromyalgia syndrome patients

Pain, disability, and depression are present in various degrees in patients with fibromyalgia syndrome. Cluster analysis was used in this research to ascertain the existence of subgroups of patients in a fibromyalgia sample based on these variables. Two clusters were defined: one characterized by high levels of pain, disability, and depression (n=51) and another characterized by low levels of pain, disability, and depression (n=67). Multivariate analysis of variance (MANOVA) confirmed differences between clusters on these health status factors and a second MANOVA revealed that the subgroup with a poorer health status reported greater passive coping, helplessness, and stress, and less satisfaction with social support, than the subgroup with better health status. Logistic regression indicated that the best discriminator of subgroup membership was helplessness. These results suggest that different approaches to patient management, particularly intervention strategies aimed at reducing helplessness, may be beneficial for patients with high levels of pain, disability, and depression.     

Adaptation effects and reversible figures: A comment on Horlitz and O’Leary

In a recent article, Horlitz and O’Leary (1993) offer a reinterpretation of the results of several studies over the past 40 years that have employed the prolonged-inspection technique in the investigation of reversible figures. Specifically, they contend that, contrary to the favored interpretation of neural adaptation effects, the results of these studies reveal the combined influence of such topdown processes as attention and perceptual learning as well as such methodological difficulties as unwanted demand characteristics. In this note, we examine their analysis of the literature, their alternative theoretical model, and the supporting conclusions they draw from their two experiments. We argue that there is considerable evidence from a variety of studies for the joint role of bottom-up and top-down processes in reversible figures. Moreover, we propose that Horlitz and O’Leary’s own research, rather than eliminating the possibility of neural-adaptation effects, is best conceptualized as providing additional evidence for the role of higher-order processes in these phenomena.     

Modelling cognition in emotional disorder: The S-REF model

Cognitive therapy techniques are applied to an ever-increasing range of psychological disorders. However, both basic methods and general theory of therapy have evolved more slowly. Although cognitive therapy is based on experimentally testable concepts derived from cognitive psychology, an integration of these areas capable of explaining cognitive-attentional phenomena and offering treatment Implications remains to be achieved. In this paper, we outline the Self-Regulatory Executive Function (S-REF) model of emotional disorder, which integrates information processing research with Beck's schema theory. The model advances understanding of the roles of stimulus-driven and voluntary control of cognition, procedural knowledge (beliefs), and of the interactions between different levels of information-processing. It also accounts for cognitive bias effects demonstrated in the experimental psychopathology literature. The model presents implications concerning not only what should be done in cognitive therapy, but how cognitive change may be most effectively accomplished.