214 research outputs found

    Translating Research as an Approach to Enhance Science Engagement

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    The impact of research depends on the effective communication of discoveries. Scientiļ¬c writing is the primary tool for the dissemination of research, and is an important skill that biomedical trainees have to develop. Despite its importance, scientiļ¬c writing is not part of the mainstream curriculum. One strategy used to teach scientiļ¬c writing is holding a journal club style discussion of primary research literature that the students are asked to read. However, this activity can result in a passive learning experience and limit the development of traineesā€™ scientiļ¬c writing skills. In order to improve traineesā€™ written communication skills, we tested an exercise that involved generating a revised article describing prior research, in essence ā€œtranslatingā€ the science into basic language. Following the guidelines set out by ā€œFrontiers for Young Mindsā€ and feedback received from ā€œYoung Reviewersā€, we wrote a revised article with a simpler description of the research. In this article, we describe this scientiļ¬c writing exercise, which may ultimately serve as a model for scientists to share their research more efļ¬ciently in order to promote better public health outcomes

    Learning Shapes Spontaneous Activity Itinerating over Memorized States

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    Learning is a process that helps create neural dynamical systems so that an appropriate output pattern is generated for a given input. Often, such a memory is considered to be included in one of the attractors in neural dynamical systems, depending on the initial neural state specified by an input. Neither neural activities observed in the absence of inputs nor changes caused in the neural activity when an input is provided were studied extensively in the past. However, recent experimental studies have reported existence of structured spontaneous neural activity and its changes when an input is provided. With this background, we propose that memory recall occurs when the spontaneous neural activity changes to an appropriate output activity upon the application of an input, and this phenomenon is known as bifurcation in the dynamical systems theory. We introduce a reinforcement-learning-based layered neural network model with two synaptic time scales; in this network, I/O relations are successively memorized when the difference between the time scales is appropriate. After the learning process is complete, the neural dynamics are shaped so that it changes appropriately with each input. As the number of memorized patterns is increased, the generated spontaneous neural activity after learning shows itineration over the previously learned output patterns. This theoretical finding also shows remarkable agreement with recent experimental reports, where spontaneous neural activity in the visual cortex without stimuli itinerate over evoked patterns by previously applied signals. Our results suggest that itinerant spontaneous activity can be a natural outcome of successive learning of several patterns, and it facilitates bifurcation of the network when an input is provided

    Genome-wide association study of shared components of reading disability and language impairment

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    Written and verbal languages are neurobehavioral traits vital to the development of communication skills. Unfortunately, disorders involving these traitsā€”specifically reading disability (RD) and language impairment (LI)ā€”are common and prevent affected individuals from developing adequate communication skills, leaving them at risk for adverse academic, socioeconomic and psychiatric outcomes. Both RD and LI are complex traits that frequently co-occur, leading us to hypothesize that these disorders share genetic etiologies. To test this, we performed a genome-wide association study on individuals affected with both RD and LI in the Avon Longitudinal Study of Parents and Children. The strongest associations were seen with markers in ZNF385D (OR = 1.81, P = 5.45 Ɨ 10āˆ’7) and COL4A2 (OR = 1.71, P = 7.59 Ɨ 10āˆ’7). Markers within NDST4 showed the strongest associations with LI individually (OR = 1.827, P = 1.40 Ɨ 10āˆ’7). We replicated association of ZNF385D using receptive vocabulary measures in the Pediatric Imaging Neurocognitive Genetics study (P = 0.00245). We then used diffusion tensor imaging fiber tract volume data on 16 fiber tracts to examine the implications of replicated markers. ZNF385D was a predictor of overall fiber tract volumes in both hemispheres, as well as global brain volume. Here, we present evidence for ZNF385D as a candidate gene for RD and LI. The implication of transcription factor ZNF385D in RD and LI underscores the importance of transcriptional regulation in the development of higher order neurocognitive traits. Further study is necessary to discern target genes of ZNF385D and how it functions within neural development of fluent language

    Exploring what works in art therapy with children with autism:Tacit knowledge of art therapists

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    Children with Autism Spectrum Disorders (ASD) are often referred to art therapy. To investigate what works in art therapy with these children 'tacit knowledge' of eight well experienced art therapists was explored. Promising components were arranged into the Context and Outcomes of Art Therapy (COAT) model. According to the respondents art therapy contributes with children with ASD to become more flexible and expressive, more relaxed, and more easy talking about their problems in the therapeutic setting as well as in their home situation. Considering the type of evidence in this study, further empirical research into the process and outcomes of art therapy with ASD children is strongly recommended
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