Reading Difficulties in Low-SES Children: A Study of Cognitive Profiles

Reading difficulties of children growing up in poverty contexts have not received as much attention as those of children from middle-income families. This paper analyzes the reading-related cognitive profiles of Argentine, Spanish-speaking, low-SES children with reading difficulties (RD), by comparing them with chronological age- (CA) and reading age- (RA) matched children from the same socioeconomic background. Ninety children (30 in each group) participated in the study. Testing included reading, spelling, verbal memory, phonological sensitivity, rapid naming, letter knowledge, and vocabulary measures. Results showed that children from the RD group performed significantly worse than their same-age peers. These findings would suggest the presence of a cognitive vulnerability in children with reading difficulties. Interestingly, when compared with children from the RA-matched control group, children in the RD group only obtained significantly lower scores in phoneme segmentation and letter-sound recognition tasks. Cognitive profiles of low-income children growing in poverty differ from cognitive profiles described for middle-income children with dyslexia. Given that teaching of letter sounds is not included in Argentina’s mandatory curriculum, it is possible that letter-sound teaching constitutes an environmental factor that interacts with other risk factors to produce reading difficulties in poverty contexts.     

Does experienced pain affects local brain volumes? Insights from a clinical acute pain model

Background/Objective:To study pain-brain morphometry associations as a function of post-surgery stages (anesthesia, pain and analgesia) in an acute pain model. Method:Impacted mandible third molar were extracted. Before surgery, an anatomical T1 scan was obtained. Regional brain volumen and subcortical nuclei shapes were obtained. Statistical analyses were done using multiple regression, being pain scores the predictors and voxel volumes, subcortical nuclei volumes and subcortical nuclei shapes, the outcomes. Results:Pain was significantly larger at pain than at anesthesia and analgesia stages, and was higher during anesthesia than during analgesia. Pain intensity was related to grey matter in several cortical (Insula, Mid Frontal and Temporal Gyruses, Precuneus, Anterior Cingulate), and subcortical nuclei (Hippocampus, Thalamus, Putamen, Amygdala), depending of the post-surgical stage. A larger number of brain areas showed significance at pain that at anesthesia and analgesia stages. Conclusions:The relationships of regional brain volumes and subcortical nuclei shapes with pain scores seemed to be unsteady, as they changed with the patient's actual pain stage.     

Depression as a predictor of perceived social support and demand: a componential approach using a prospective sample of older adults

This study examined the relationship of the cognitive, mood, and somatic components of depression on perceptions of social support and social demand among older adults (n = 851) over two years. Factor-analyses confirmed the factor structure of our multicomponential model of depression. Results supported our proposal that interpersonal specificity, as measured by depressive cognition about self and others, is important to predicting changes in perceived support and demand over time. Each component of depression was related to social support and social demand cross-sectionally, whereas only the cognitive component of depression predicted changes in support and demand prospectively. Future research should consider the pathways linking depressive cognition to perceived support and demand.     

Implicit ambivalence from attitude change: an exploration of the PAST model

Traditional models of attitude change have assumed that when people appear to have changed their attitudes in response to new information, their old attitudes disappear and no longer have any impact. The present research suggests that when attitudes change, the old attitude can remain in memory and influence subsequent behavior. Four experiments are reported in which initial attitudes were created and then changed (or not) with new information. In each study, the authors demonstrate that when people undergo attitude change, their old and new attitudes can interact to produce evaluative responses consistent with a state of implicit ambivalence. In Study 1, individuals whose attitudes changed were more neutral on a measure of automatic evaluation. In Study 2, attitude change led people to show less confidence on an implicit but not an explicit measure. In Studies 3 and 4, people whose attitudes changed engaged in greater processing of attitude-relevant information than did individuals whose attitudes were not changed.     

Hippocampal gene expression profiling in spatial discrimination learning

Learning and long-term memory are thought to involve temporally defined changes in gene expression that lead to the strengthening of synaptic connections in selected brain regions. We used cDNA microarrays to study hippocampal gene expression in animals trained in a spatial discrimination-learning paradigm. Our analysis identified 19 genes that showed statistically significant changes in expression when comparing Nai;ve versus Trained animals. We confirmed the changes in expression for the genes encoding the nuclear protein prothymosin(alpha) and the delta-1 opioid receptor (DOR1) by Northern blotting or in situ hybridization. In additional studies, laser-capture microdissection (LCM) allowed us to obtain enriched neuronal populations from the dentate gyrus, CA1, and CA3 subregions of the hippocampus from Nai;ve, Pseudotrained, and spatially Trained animals. Real-time PCR examined the spatial learning specificity of hippocampal modulation of the genes encoding protein kinase B (PKB, also known as Akt), protein kinase C(delta) (PKC(delta)), cell adhesion kinase(beta) (CAK(beta), also known as Pyk2), and receptor protein tyrosine phosphatase(zeta/beta) (RPTP(zeta/beta)). These studies showed subregion specificity of spatial learning-induced changes in gene expression within the hippocampus, a feature that was particular to each gene studied. We suggest that statistically valid gene expression profiles generated with cDNA microarrays may provide important insights as to the cellular and molecular events subserving learning and memory processes in the brain.     

Improving attitudes towards minority groups by thinking about the thoughts and meta-cognitions of their members

Research on persuasion has shown that for attitudes to change people need to take into consideration not only the thoughts message recipients generate in response to proposals but also how people think about their own thoughts (metacognition). In the present research, we introduce a new perspective for improving outgroup attitudes focused on the distinction between cognition and metacognition but this time applied to the perceptions of others’ minds. Specifically, we examined to what extent thinking about the mental processes of outgroup members influences attitudes towards those outgroups. We compared the impact of thinking about how others think (perceived primary cognition) with how others think about their own thoughts (perceived secondary cognition or metacognition). In the primary cognition treatment, participants answered questions about the thinking processes of outgroup members. In the secondary cognition treatment, participants answered questions that required them to consider how outgroup members think about their own thoughts (i.e., metacognition). Compared to controls, these treatments were capable of improving attitudes of Spanish citizens towards Syrian refugees, South American immigrants, and Roma people. A third study used a minimal group paradigm in which a fictitious outgroup was described as having primary (vs. secondary) cognition. A final study also tested the implications of assuming that groups have one type of cognition or another. The effects of the two treatments varied depending on the type of outgroup.     

Internet-based self-help treatment for panic disorder: a randomized controlled trial comparing mandatory versus optional complementary psychological support

Panic disorder (PD) is one of the most common psychiatric disorders. Web-based self-help treatments for PD have had promising results. These online treatments seem to have larger effect sizes (ESs) when professional support is added. However, the amount of support or how it should be administered is not yet clear. The aim of this trial was to study two ways of administering psychological support provided by phone as a part of Internet-based self-help treatment for PD based on cognitive behavioral therapy. Seventy-seven participants diagnosed with PD were randomly assigned to one of three experimental conditions: a waiting list control group; a treatment group with non-scheduled psychological support; or a treatment group with scheduled psychological support. PD symptoms of participants who received treatment improved significantly compared to the control group (mean ES d = 1.18, p < .05). In addition, there were statistically and clinically significant differences between treatment groups (Mean difference = ?3.20, p = .005, 95% CI [?5.62, ?.79]). The scheduled group showed a larger ES, a lower dropout rate, and better adherence to treatment than the non-scheduled group. Scheduled support seems to be indicated for patients who seek Web-based treatment for PD, and their symptoms of panic, anxiety, and depression improve at post-treatment and six-month follow-up. In contrast, when support depends on patient demand, they receive less support and so, the therapeutic effect is poorer.     

Humean laws,circularity, and contrastivity

Synthese - A well-known objection to Humean accounts of laws (e.g. BSA, Lewis in Australas J Philos 61:343–377, 1983, Philosophical papers vol. II, Oxford University Press, 1986) charges them...     

Balancing fit and parsimony to improve Q-matrix validation

The Q-matrix identifies the subset of attributes measured by each item in the cognitive diagnosis modelling framework. Usually constructed by domain experts, the Q-matrix might contain some misspecifications, disrupting classification accuracy. Empirical Q-matrix validation methods such as the general discrimination index (GDI) and Wald have shown promising results in addressing this problem. However, a cut-off point is used in both methods, which might be suboptimal. To address this limitation, the Hull method is proposed and evaluated in the present study. This method aims to find the optimal balance between fit and parsimony, and it is flexible enough to be used either with a measure of item discrimination (the proportion of variance accounted for, PVAF) or a coefficient of determination (pseudo-R²). Results from a simulation study showed that the Hull method consistently showed the best performance and shortest computation time, especially when used with the PVAF. The Wald method also performed very well overall, while the GDI method obtained poor results when the number of attributes was high. The absence of a cut-off point provides greater flexibility to the Hull method, and it places it as a comprehensive solution to the Q-matrix specification problem in applied settings. This proposal is illustrated using real data.