Maturation of EEG power spectra in early adolescence: a longitudinal study

This study investigated the fine-grained development of the EEG power spectra in early adolescence, and the extent to which it is reflected in changes in peak frequency. It also sought to determine whether sex differences in the EEG power spectra reflect differential patterns of maturation. A group of 56 adolescents were tested at age 10 years and then at two further time-points approximately 18 months apart. The EEG was recorded during both eyes-closed and eyes-open conditions and Fourier transformed to provide estimates of absolute and relative spectral power at 0.5 Hz intervals from 0.5 to 40 Hz. The peak alpha frequency for each individual at each time-point was also determined for relative spectral power. Partial Least Squares (PLS) analysis was used to determine the combination of electrodes and frequencies that showed developmental change, or differed between the sexes. As a function of age, absolute delta and theta frequencies power decreased, and relative alpha2 and beta frequencies increased, replicating the standard findings of a decrease in lower, and increase in higher, frequencies with age. A small but significant increase in peak alpha frequency with age was detected. Moreover PLS analysis performed with individual alpha frequencies aligned to 10 Hz suggested that the age-related increase seen in alpha2 relative power was driven by changes in the peak frequency. Although males demonstrated higher alpha power than females, there were no sex differences in peak frequency, suggesting that there may be more to sex differences in EEG power than simply different rates of maturation between the two sexes.     

Executive Functioning Characteristics Associated with ADHD Comorbidity in Adolescents with Disruptive Behavior Disorders

The nature of executive dysfunction in youth with disruptive behavior disorders (DBD) remains unclear, despite extensive research in samples of children with attention-deficit hyperactivity disorder (ADHD). To determine the relationship between DBD, ADHD, and executive function deficits in aggressive teens, adolescents with DBD and comorbid ADHD (DBD + ADHD; n = 25), DBD without ADHD (DBD-ADHD; n = 23), and healthy controls (HC; n = 25) were compared on neurocognitive tests and questionnaires measuring executive functioning. Teens with DBD + ADHD performed worse on both neurocognitive and questionnaire measures of executive function than the DBD-ADHD and HC groups. Results suggest that subgroups of DBD may exist depending on the presence or absence of comorbid ADHD, which may have implications for the selection and efficacy of treatment strategies.     

Orthographic redundancy in letter recognition: Orthographic neighbourhood or orthographic context?

Abstract

In explaining the word-superiority effect (i.e. the better detection of a letter in a word than in a nonword), the Interactive Activation Model (IAM) of McClelland and Rumelhart (1981) and the Fuzzy Logical Model of Perception (FLMP) of Massaro (1979) emphasise the importance of orthographic redundancy (i.e. the regularities of letters within words) in different ways. In the IAM, orthographic redundancy is defined by the number of “friends”; that is, words sharing the same letters except one with the word containing the target letter. Such friends constitute the orthographic “neighbourhood”. FLMP stresses the orthographic “context”; that is, the similarity of the word with a representation in the lexicon. The orthographic neighbourhood and context are manipulated independently in Experiment 1, and the findings are better understood in terms of the orthographic neighbourhood. By increasing the number of friends in nonwords, better letter detection is also obtained in nonwords as compared with letter detection in random letter strings (Experiment 2). These findings, together with the position effects obtained, are more clearly in agreement with the IAM than with the FLMP.     

Lukasiewicz's Many-valued Logic and Neoplatonic Scalar Modality

This paper examines the role of ‘situations’ in John Dewey's philosophy of logic. To do this properly it is necessary to contrast Dewey's conception of experience and mentality with views characteristic of modern epistemology. The primary difference is that, rather than treat experience as peripheral and or external to mental functions (reason, etc.), we should treat experience as a field in and as a part of which thinking takes place. Experience in this broad sense subsumes theory and fact, hypothesis and evidence, reason and observation, thought and perception. Logic in this view is a formal study of the generic features of all possible kinds of experience in this broad (thick, deep, wide, multifaceted) sense. The goal of this paper is to explain what Dewey thinks a situation is in the context of this view of experience, and to argue for the fundamental importance of that idea for logic and philosophy in general.     

Cognitive factors in the explanation of the mismatch between confidence and competence in performing basic life support

Abstract

The main approach to rectifying the well documented poor basic life support (BLS) skills of doctors and nurses, based on a Skills Model, has met with only partial success. This study compares the utility of a Skills Model with one that incorporates a cognitive component in predicting BLS skills. Outcome-expectancy, self-efficacy, training and experience of BLS, and BLS ability were assessed in 53 trained nurses. Ability was unrelated to training or experience of BLS. Nurses who scored highest on the BLS skills assessment perceived the procedure as significantly more successful than those with lower scores. Self-efficacy was unrelated to ability, but was related to status: senior nurses were significantly more confident but no more competent in performing BLS than junior nurses. Nurses who had attended more arrests, while more confident, were no more competent than those who had attended fewer. Assessment of BLS skills reduced self-efficacy beliefs. A model for predicting the relationship between self-assessed ability and objectively assessed skill is outlined.     

Emotion regulation and the temporal dynamics of emotions: Effects of cognitive reappraisal and expressive suppression on emotional inertia

The tendency for emotions to be predictable over time, labelled emotional inertia, has been linked to low well-being and is thought to reflect impaired emotion regulation. However, almost no studies have examined how emotion regulation relates to emotional inertia. We examined the effects of cognitive reappraisal and expressive suppression on the inertia of behavioural, subjective and physiological measures of emotion. In Study 1 (N = 111), trait suppression was associated with higher inertia of negative behaviours. We replicated this finding experimentally in Study 2 (N = 186). Furthermore, in Study 2, instructed suppressors and reappraisers both showed higher inertia of positive behaviours, and reappraisers displayed higher inertia of heart rate. Neither suppression nor reappraisal were associated with the inertia of subjective feelings in either study. Thus, the effects of suppression and reappraisal on the temporal dynamics of emotions depend on the valence and emotional response component in question.     

Semi-automated Rasch analysis using in-plus-out-of-questionnaire log likelihood

Rasch analysis is a popular statistical tool for developing and validating instruments that aim to measure human performance, attitudes and perceptions. Despite the availability of various software packages, constructing a good instrument based on Rasch analysis is still considered to be a complex, labour-intensive task, requiring human expertise and rather subjective judgements along the way. In this paper we propose a semi-automated method for Rasch analysis based on first principles that reduces the need for human input. To this end, we introduce a novel criterion, called in-plus-out-of-questionnaire log likelihood (IPOQ-LL). On artificial data sets, we confirm that optimization of IPOQ-LL leads to the desired behaviour in the case of multi-dimensional and inhomogeneous surveys. On three publicly available real-world data sets, our method leads to instruments that are, for all practical purposes, indistinguishable from those obtained by Rasch analysis experts through a manual procedure.