Personal names and the human right hemisphere: an illusory link?

Names are thought to be represented in the brain differently from common nouns. Although this idea is supported by both theoretical and empirical arguments, the brain areas that are relevant for the recognition of personal names-and in particular the extent of right hemisphere involvement-remain controversial. We investigated the hypothesis that, unlike common nouns, personal names are represented preferentially by the right hemisphere (D. Van Lancker, 1991; D. Van Lancker et al., 1991; C. Ohnesorge & D. Van Lancker, 1999). Participants performed lexical decisions to common nouns and pseudowords (Experiment 1) or familiarity decisions to personal names (Experiment 2), which were presented briefly to the left or right visual fields. Asymmetries were small or absent for both pseudowords and unfamiliar names. For familiar names, both reaction times and error rates revealed strong advantages for the right visual field/left hemisphere (RVF/LH), which were comparable to the asymmetries for nouns. Familiar personal names may be represented by brain systems that differ from those representing common nouns, but current evidence does not suggest a distinct contribution of the right hemisphere to these brain systems.     

About the relationship between basic numerical processing and arithmetics in early Alzheimer's disease--a follow-up study

We studied the relationship between basic numerical knowledge and arithmetics (facts and procedures) in early Alzheimer's Disease (AD). In most patients, basic numerical knowledge was found to be preserved, as reflected by low error rates, distance effect in number comparison, and subitizing in naming numerosities. However, within arithmetics, AD patients exhibited decreased fact and procedural knowledge. Interestingly, double dissociations were found not only between facts and procedures but also between basic numerical knowledge and arithmetics. Thus, our results suggest that basic numerical knowledge need not be a prerequisite for the maintenance of arithmetics, but rather corroborate calculation models that postulate the functional independence of its components. Further, we found patient specific error types which might serve to identify early AD. The follow-up about one year later indicated significant qualitative, but only marginal quantitative performance changes.     

The psychometric function: I. Fitting, sampling, and goodness of fit

The psychometric function relates an observer’s performance to an independent variable, usually some physical quantity of a stimulus in a psychophysical task. This paper, together with its companion paper (Wichmann & Hill, 2001), describes an integrated approach to (1) fitting psychometric functions, (2) assessing the goodness of fit, and (3) providing confidence intervals for the function’s parameters and other estimates derived from them, for the purposes of hypothesis testing. The present paper deals with the first two topics, describing a constrained maximum-likelihood method of parameter estimation and developing several goodness-of-fit tests. Using Monte Carlo simulations, we deal with two specific difficulties that arise when fitting functions to psychophysical data. First, we note that human observers are prone to stimulus-independent errors (orlapses). We show that failure to account for this can lead to serious biases in estimates of the psychometric function’s parameters and illustrate how the problem may be overcome. Second, we note that psychophysical data sets are usually rather small by the standards required by most of the commonly applied statistical tests. We demonstrate the potential errors of applying traditionalX ² methods to psychophysical data and advocate use of Monte Carlo resampling techniques that do not rely on asymptotic theory. We have made available the software to implement our methods.     

Suchttherapie bei abhängigen Ärzten

Background

International studies indicate an increased incidence of substance abuse disorders among physicians. This article investigates specific variables in the work field and describes existing treatment programs.

Patients and methods

In a cross-sectional study 107 physicians with and 468 without substance abuse disorders were compared. Two highly developed treatment programs in Germany and Canada are described.

Results

The high work-load associated with the medical work environment leads to reduced performance and social isolation. Treatment programs for addicted physicians work with the concept of ?help before restriction“. The abstinence rate of the 5-year Canadian program is over 90%.

Conclusions

As a form of prevention, medical students should be systematically informed about work-related stress in the medical profession. Structured treatment programs should be implemented nationwide. The expert team ?Risk of addiction in physicians“ of the German Addiction Foundation, whose members are authors of this article, may be a small step in this direction.     

Statistical Learning of Unfamiliar Sounds as Trajectories Through a Perceptual Similarity Space

In typical statistical learning studies, researchers define sequences in terms of the probability of the next item in the sequence given the current item (or items), and they show that high probability sequences are treated as more familiar than low probability sequences. Existing accounts of these phenomena all assume that participants represent statistical regularities more or less as they are defined by the experimenters—as sequential probabilities of symbols in a string. Here we offer an alternative, or possibly supplementary, hypothesis. Specifically, rather than identifying or labeling individual stimuli discretely in order to predict the next item in a sequence, we need only assume that the participant is able to represent the stimuli as evincing particular similarity relations to one another, with sequences represented as trajectories through this similarity space. We present experiments in which this hypothesis makes sharply different predictions from hypotheses based on the assumption that sequences are learned over discrete, labeled stimuli. We also present a series of simulation models that encode stimuli as positions in a continuous two‐dimensional space, and predict the next location from the current location. Although no model captures all of the data presented here, the results of three critical experiments are more consistent with the view that participants represent trajectories through similarity space rather than sequences of discrete labels under particular conditions.     

A Quantitative Empirical Analysis of the Abstract/Concrete Distinction

This study presents original evidence that abstract and concrete concepts are organized and represented differently in the mind, based on analyses of thousands of concepts in publicly available data sets and computational resources. First, we show that abstract and concrete concepts have differing patterns of association with other concepts. Second, we test recent hypotheses that abstract concepts are organized according to association, whereas concrete concepts are organized according to (semantic) similarity. Third, we present evidence suggesting that concrete representations are more strongly feature‐based than abstract concepts. We argue that degree of feature‐based structure may fundamentally determine concreteness, and we discuss implications for cognitive and computational models of meaning.     

The End of Secularisation through Demography? Projections of Spanish Religiosity

This article presents the first projection, to our knowledge, of the intensity of religiosity in a population, which has a strong bearing on the critical question of the religious future of Europe. Spain has, in recent decades, simultaneously experienced rapid religious decline and marked demographic change through high immigration and declining fertility. To investigate future trends, we carry out population projections by religion and religiosity to the year 2050. We find that both fertility and immigration increase the share of the highly religious, as the more religious tend to have more children and immigrants tend to be more religious than non-immigrants. The non-religious population grows because people switch from religion to no-religion and because they are younger. Our findings suggest that in the longer term (2050), there may be growth in the no-religion population, a decline in the share of highly religious Christians, and moderate development of low religious Christians. The Muslim population would substantially increase, unless there is an end to migration and fertility differentials.     

An Examination of the Personality Constructs Underlying Dimensions of Creative Problem‐Solving Style

This study investigated the personality facets that underpin the construct of problem‐solving style, particularly when approaching more creative kinds of problem‐solving. Cattell's Sixteen Personality Factors Questionnaire and VIEW—An Assessment of Problem Solving Style were administered to 165 students from the Norwegian Business School. We explored relationships through correlational and regression analysis. Personality profiles were derived for each of VIEW's three dimensions and were in generally expected directions. Those with an Explorer preference were more imaginative and idea oriented, open to change, unconventional, freethinking, and flexible than Developers. Those with a Developer preference were more practical and solution oriented, more traditional, rule conscious, conservative, and respecting of traditional ideas. Those with an External preference were more group oriented, affiliative, socially bold, warm, and attentive to others than those with an Internal preference. Those with a more Task‐oriented preference were more impersonal, detached, utilitarian, and tough minded than those with Person‐oriented preference. We outlined implications and suggestions for further research.