763 research outputs found

    Trans-Diagnostic Relations Between Functional Brain Network Integrity and Cognition

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    Cognitive impairment occurs across the psychosis spectrum. However it is unknown whether these shared manifestations of cognitive dysfunction also reflect shared neurobiological mechanisms, or whether the source of impairment differs. One common feature of cognitive impairment across psychotic disorders is that the impairments are often ҧeneralizedӬ indicating deficits in a range of cognitive domains, including executive functioning, processing speed, memory, and attention. The goal of the current study was to determine whether the similar generalized cognitive deficit observed across psychotic disorders is also associated with a shared putative mechanism of functional brain network integrity. To address this question, we estimated resting-state functional network integrity of the cingulo-opercular and fronto-parietal networks -- two networks widely implicated in cognitive ability -- in 201 healthy controls, 143 schizophrenia, 103 schizoaffective, and 129 bipolar disorder with psychosis participants from the Bipolar and Schizophrenia Network on Intermediate Phenotypes (BSNIP1) consortium. Cognitive ability was measured using the Brief Assessment of Cognition in Schizophrenia (BACS), and generalized cognitive ability was estimated as the first factor (54% variance explained) in a principal axis factor analysis of all BACS subtests. Graph theory algorithms were used to estimate the global and local efficiency of the whole brain, cingulo-opercular network (CON), fronto-parietal network (FPN), and the auditory network (AUD), as well as participation coefficient of the anterior insula, dorsal anterior cingulate cortex, and dorsolateral prefrontal cortex. We observed significantly reduced CON global efficiency in schizophrenia and psychotic bipolar patients compared to healthy controls (pճ\u3c.01), but none of the clinical groups differed from one another (pճ\u3e.21). All psychotic disorders had significantly reduced CON local efficiency (pճ\u3c.03), but the clinical groups did not differ from one another. CON global efficiency was significantly associated with general cognitive ability across all groups (_=.099, p=.009), and significantly mediated the relationship between psychotic disorder status and general cognition (p\u3c.05). Exploratory analyses revealed that global efficiency of the subcortical network was also significantly reduced in psychotic disorders (p=.007), and positively predicted cognitive ability (_=.094, p=.009). These findings provide evidence of a role for reduced CON and subcortical network efficiency in the generalized cognitive deficit observed across the psychosis spectrum. They also support the hypothesis that a shared neurobiological mechanism underlies the dimension of cognitive impairment in psychotic disorders

    Desarrollo de un currículo de compasión para el cáncer para pacientes con cáncer de mama en etapas I-III y sobrevivientes de cáncer. Orígenes, fundamentos y observaciones iniciales

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    Compassion is an intrinsic trait and is linked to psychological and physiological well-being. It can be trained and improved through a systematic contemplative training programme. The purpose of this paper is to present a new training programme for cancer patients and survivors (CforC) that was designed and tested in a pilot study. We review the potential benefits of CforC which include attention regulation, self-regulation, mental awareness, and acceptance of physical sensations (including pain experiences). We also consider limitations. Results of the pilot suggest that the current intervention is feasible and provides potential psychological benefits for female breast cancer patients/survivors. Future research may benefit from examining other potential effects of the CforC programme, including emotional and physical outcomes in cancer patients and survivors, and the application of the intervention to other populations of chronically ill patients.N/

    Predictors of cognitive enhancement after training in preschoolers from diverse socioeconomic backgrounds

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    The association between socioeconomic status and child cognitive development, and the positive impact of interventions aimed at optimizing cognitive performance, are well-documented. However, few studies have examined how specific socio-environmental factors may moderate the impact of cognitive interventions among poor children. In the present study, we examined how such factors predicted cognitive trajectories during the preschool years, in two samples of children from Argentina, who participated in two cognitive training programs (CTPs) between the years 2002 and 2005: the School Intervention Program (SIP;N=745) and the Cognitive Training Program (CTP;N=333). In both programs children were trained weekly for 16 week sand tested before and after the intervention using a battery of tasks assessing several cogntive control processes (attention, inhibitory control, working memory, flexibility and planning). After applying mixed model analyses, we identified sets of socio-environmental predictors that were associated with higher levels of pre-intervention cognitive control performance and with increased improvement in cognitive control from pre- to post-intervention. Child age, housing conditions, social resources, parental occupation and family composition were associated with performance in specific cognitive domains at baseline. Housing conditions, social resources, parental occupation, family composition, maternal physical health, age, group (intervention/control) and the number of training sessions were related to improvements in specific cognitive skills from pre- to post-training

    "The daily grunt": middle class bias and vested interests in the 'Getting in Early' and 'Why Can't They Read?' reports.

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    It is a long-standing and commonly held belief in the UK and elsewhere that the use of elite forms of language reflects superior intellect and education. Expert opinion from sociolinguistics, however, contends that such a view is the result of middle-class bias and cannot be scientifically justified. In the 1960s and 1970s,such luminaries as Labov (1969) and Trudgill (1975) were at pains to point out to educationalists, with some success, that this 'deficit 'view of working-class children's communicative competence is not a helpful one. However, a close reading of recent think-tank reports and policy papers on language and literacy teaching in schools reveals that the linguistic deficit hypothesis has resurfaced and is likely to influence present-day educational policy and practice. In this paper I examine in detail the findings, claims and recommendations of the reports and I argue that they are biased, poorly researched and reflect the vested interests of certain specialist groups, such as speech and language therapists and companies who sell literacy materials to schools. I further argue that we need to, once again, inject the debate with the social dimensions of educational failure, and we need to move away from the pathologisation of working-class children's language patterns

    An actionable anti-racism plan for geoscience organizations.

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    Geoscience organizations shape the discipline. They influence attitudes and expectations, set standards, and provide benefits to their members. Today, racism and discrimination limit the participation of, and promote hostility towards, members of minoritized groups within these critical geoscience spaces. This is particularly harmful for Black, Indigenous, and other people of color in geoscience and is further exacerbated along other axes of marginalization, including disability status and gender identity. Here we present a twenty-point anti-racism plan that organizations can implement to build an inclusive, equitable and accessible geoscience community. Enacting it will combat racism, discrimination, and the harassment of all members

    Non-Overlapping Functions for Pyk2 and FAK in Osteoblasts during Fluid Shear Stress-Induced Mechanotransduction

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    Mechanotransduction, the process by which cells convert external mechanical stimuli such as fluid shear stress (FSS) into biochemical changes, plays a critical role in maintenance of the skeleton. We have proposed that mechanical stimulation by FSS across the surfaces of bone cells results in formation of unique signaling complexes called mechanosomes that are launched from sites of adhesion with the extracellular matrix and with other bone cells [1]. Deformation of adhesion complexes at the cell membrane ultimately results in alteration of target gene expression. Recently, we reported that focal adhesion kinase (FAK) functions as a part of a mechanosome complex that is required for FSS-induced mechanotransduction in bone cells. This study extends this work to examine the role of a second member of the FAK family of non-receptor protein tyrosine kinases, proline-rich tyrosine kinase 2 (Pyk2), and determine its role during osteoblast mechanotransduction. We use osteoblasts harvested from mice as our model system in this study and compared the contributions of Pyk2 and FAK during FSS induced mechanotransduction in osteoblasts. We exposed Pyk2+/+ and Pyk2−/− primary calvarial osteoblasts to short period of oscillatory fluid flow and analyzed downstream activation of ERK1/2, and expression of c-fos, cyclooxygenase-2 and osteopontin. Unlike FAK, Pyk2 was not required for fluid flow-induced mechanotransduction as there was no significant difference in the response of Pyk2+/+ and Pyk2−/− osteoblasts to short periods of fluid flow (FF). In contrast, and as predicted, FAK−/− osteoblasts were unable to respond to FF. These data indicate that FAK and Pyk2 have distinct, non-redundant functions in launching mechanical signals during osteoblast mechanotransduction. Additionally, we compared two methods of generating FF in both cell types, oscillatory pump method and another orbital platform method. We determined that both methods of generating FF induced similar responses in both primary calvarial osteoblasts and immortalized calvarial osteoblasts

    A common variant near TGFBR3 is associated with primary open angle glaucoma

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    Primary open angle glaucoma (POAG), a major cause of blindness worldwide, is a complex disease with a significant genetic contribution. We performed Exome Array (Illumina) analysis on 3504 POAG cases and 9746 controls with replication of the most significant findings in 9173 POAG cases and 26 780 controls across 18 collections of Asian, African and European descent. Apart from confirming strong evidence of association at CDKN2B-AS1 (rs2157719 [G], odds ratio [OR] = 0.71, P = 2.81 × 10−33), we observed one SNP showing significant association to POAG (CDC7–TGFBR3 rs1192415, ORG-allele = 1.13, Pmeta = 1.60 × 10−8). This particular SNP has previously been shown to be strongly associated with optic disc area and vertical cup-to-disc ratio, which are regarded as glaucoma-related quantitative traits. Our study now extends this by directly implicating it in POAG disease pathogenesis

    Optimasi Portofolio Resiko Menggunakan Model Markowitz MVO Dikaitkan dengan Keterbatasan Manusia dalam Memprediksi Masa Depan dalam Perspektif Al-Qur`an

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    Risk portfolio on modern finance has become increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Since companies cannot insure themselves completely against risk, as human incompetence in predicting the future precisely that written in Al-Quran surah Luqman verse 34, they have to manage it to yield an optimal portfolio. The objective here is to minimize the variance among all portfolios, or alternatively, to maximize expected return among all portfolios that has at least a certain expected return. Furthermore, this study focuses on optimizing risk portfolio so called Markowitz MVO (Mean-Variance Optimization). Some theoretical frameworks for analysis are arithmetic mean, geometric mean, variance, covariance, linear programming, and quadratic programming. Moreover, finding a minimum variance portfolio produces a convex quadratic programming, that is minimizing the objective function ðð¥with constraintsð ð 𥠥 ðandð´ð¥ = ð. The outcome of this research is the solution of optimal risk portofolio in some investments that could be finished smoothly using MATLAB R2007b software together with its graphic analysis
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