48 research outputs found

    Development of an Index of Socio-Emotional Competence for Preschool Children in the Growing Up in New Zealand Study

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    Growing international recognition of the importance of socio-emotional competence has led to calls to understand the prevalence and development of such competence in young children. However, socio-emotional competence is a multifaceted concept and hence difficult to track. The present research describes the processes we used to develop an index of socio-emotional competence in preschool children taking part in the Growing Up in New Zealand (GUiNZ) study. We draw on data collected from 6,156 children when they were 9 months, 2 years and 4.5 years of age. Twenty-six variables from seven measures were found to provide conceptual coverage of socio-emotional competence and had adequate discriminatory power and internal consistency. Our final sample consisted of 4,839 participants who had adequate data on the variables of interest. Exploratory factor analysis led to the emergence of three dimensions: easy-going, regulation, and exuberance. Multiple methods of weighting (equal, empirical, and time-based) were used to calculate the index, which resulted in eight possible index versions. The index with equally weighted variables (including observations scores) and dimension scores, and time weighted scores of socio-emotional competence at each data collection wave, was found to be the most empirically sound. Both categorical and continuous index scores were calculated to allow for variety of later analytical usage. Our findings may be of interest to policy-makers and clinicians who could use this knowledge to better understand the trajectories of development of socio-emotional competence, and factors associated with any derived patterns and change. This may also help identify children at risk of poor socio-emotional development as early as possible, which may be of interest to those looking to mitigate the risk of poor socio-emotional development

    Human Sensory LTP Predicts Memory Performance and Is Modulated by the BDNF Val66Met Polymorphism

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    Background: Long-term potentiation (LTP) is recognised as a core neuronal process underlying long-term memory. However, a direct relationship between LTP and human memory performance is yet to be demonstrated. The first aim of the current study was thus to assess the relationship between LTP and human long-term memory performance. With this also comes an opportunity to explore factors thought to mediate the relationship between LTP and long-term memory. The second aim of the current study was to explore the relationship between LTP and memory in groups differing with respect to brain-derived neurotrophic factor (BDNF) Val66Met; a single-nucleotide polymorphism (SNP) implicated in memory function.Methods: Participants were split into three genotype groups (Val/Val, Val/Met, Met/Met) and were presented with both an EEG paradigm for inducing LTP-like enhancements of the visually-evoked response, and a test of visual memory.Results: The magnitude of LTP 40 min after induction was predictive of long-term memory performance. Additionally, the BDNF Met allele was associated with both reduced LTP and reduced memory performance.Conclusions: The current study not only presents the first evidence for a relationship between sensory LTP and human memory performance, but also demonstrates how targeting this relationship can provide insight into factors implicated in variation in human memory performance. It is anticipated that this will be of utility to future clinical studies of disrupted memory function

    Developmental Learning Disorders: From Generic Interventions to Individualized Remediation

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    Developmental learning disorders affect many children, impairing their experience in the classroom and hindering many aspects of their life. Once a bleak sentence associated with life-long difficulties, several learning disorders can now be successfully alleviated, directly benefiting from promising interventions. In this review, we focus on two of the most prevalent learning disorders, dyslexia and ADHD. Recent advances have refined our understanding of the specific neural networks that are altered in these disorders, yet questions remain regarding causal links between neural changes and behavioral improvements. After briefly reviewing the theoretical foundations of dyslexia and ADHD, we explore their distinct and shared characteristics, and discuss the comorbidity of the two disorders. We then examine current interventions, and consider the benefits of approaches that integrate remediation within other activities to encourage sustained motivation and improvements. Finally, we conclude with a reflection on the potential for remediation programs to be personalized by taking into account the specificities and demands of each individual. The effective remediation of learning disorders is critical to modern societies, especially considering the far-reaching ramifications of successful early interventions
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