Perceptual decision neurosciences - a model-based review.

In this review we summarize findings published over the past 10 years focusing on the neural correlates of perceptual decision-making. Importantly, this review highlights only studies that employ a model-based approach, i.e., they use quantitative cognitive models in combination with neuroscientific data. The model-based approach allows capturing latent decision-making processes such as strategic adjustments of response thresholds and relate these to interindividual differences or single-trial blood-oxygenated level dependent (BOLD) functional Magnetic Resonance Imaging (fMRI) responses. The review shows that different cortico-subcortical networks are responsive to different latent decision-making processes. More concretely, we show that evidence accumulation is associated with a fronto-parietal network which is partly overlapping with choice bias in perceptual decision making. The setting of decision thresholds is associated with fronto-basal ganglia networks which are also found for choice bias. In sum, we argue that the model-based approach holds great promises to understand the neural correlates of latent cognitive processes.

No association between the Arg201Gly polymorphism of the DCC gene and colorectal cancer.

BACKGROUND AND AIMS: In one small study, the DCC Arg201Gly polymorphism has been observed more frequently in colorectal cancer cases compared with controls. We wondered whether these results could be replicated in a much larger study. METHODOLOGY: The DCC Arg201 Gly polymorphism was genotyped in 625 unselected Caucasian colorectal cancer patients and 220 controls. Association analysis was used to search for a difference between patients and controls. Subgroup analyses were performed for site of tumour, gender, age at diagnosis, family history of colorectal cancer and modified Dukes classification. RESULTS: The association analyses revealed no difference in Arg201Gly genotype frequency between patients and controls, neither overall nor for different subgroups according to site of tumour, gender, age at diagnosis, family history of colorectal cancer and modified Dukes classification. CONCLUSION: No association was observed between the Arg201Gly polymorphism of DCC and colorectal cancer risk.

Effects of electronic communication in general practice.

OBJECTIVE: To obtain insight into the effects of electronic communication on GPs by studying those publications in literature describing the effects of structured electronic clinical communication in general practice. METHODS: We retrieved all publications in the English language indexed in MEDLINE under the MESH term 'Computer Communication Networks' AND having either 'family practice' or 'primary health care' as MESH term OR 'GP', or 'GPs' as text word. RESULTS: A total of 176 publications were retrieved of which 30 publications met the criteria. In 28 of these 30 publications potential effects were described; one described claimed effects, three described demonstrated effects with subjective data and five described demonstrated effects with objective data. The studies documented, furthermore, effects on the speed of communication, the content of information and records, a change of processes involved in the communication, quality of care, costs, workload of physicians, appreciation of physicians, confidentiality, and adherence. CONCLUSIONS: We conclude that only a few studies evaluated electronic communication versus paper communication. Of these studies, only a few report improvement. Our final conclusion is that, so far, literature has not shown that the positive effects can be explained by electronic communication as such.

The incorporation of different demand concepts in the job demand-control model: effects on health care professionals.

This paper reports a study of 212 health care professionals that focuses on job characteristics as predictors of employee health. By means of covariance structure modelling (LISREL 8) we tested the interactive assumptions of the Karasek (1979) Job Demand-Control (JD-C) Model [Karasek, R.A., Jr., 1979. Job demands, job decision latitude, and mental strain: implications for job redesign. Administrative Science Quarterly, 24, 285-307.] using three different concepts of job demands (i.e. psychological job demands, physical demands and emotional demands) in combination with a more focused measure of decision latitude (i.e. job autonomy) to predict employee health (i.e. job satisfaction, job involvement, emotional exhaustion and psychosomatic health complaints). Controlling for gender and age, the results partly support the JD-C hypotheses by finding three out of twelve assumed interaction effects. More specifically, different outcome variables are predicted by different combinations of job autonomy with the three kinds of job demands, respectively. In conclusion, although we refute the central hypotheses of the JD-C model to a large extent, the current (interactive) findings are quite illuminating and will be discussed in the context of their theoretical and practical implications. Researchers as well as practitioners have to broaden their perspective on 'job demands' in health care work and need to focus on different kinds of job demands to capture the complexity of this work setting.