13 resultados para Granger causalidade

em Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP)


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The identification, modeling, and analysis of interactions between nodes of neural systems in the human brain have become the aim of interest of many studies in neuroscience. The complex neural network structure and its correlations with brain functions have played a role in all areas of neuroscience, including the comprehension of cognitive and emotional processing. Indeed, understanding how information is stored, retrieved, processed, and transmitted is one of the ultimate challenges in brain research. In this context, in functional neuroimaging, connectivity analysis is a major tool for the exploration and characterization of the information flow between specialized brain regions. In most functional magnetic resonance imaging (fMRI) studies, connectivity analysis is carried out by first selecting regions of interest (ROI) and then calculating an average BOLD time series (across the voxels in each cluster). Some studies have shown that the average may not be a good choice and have suggested, as an alternative, the use of principal component analysis (PCA) to extract the principal eigen-time series from the ROI(s). In this paper, we introduce a novel approach called cluster Granger analysis (CGA) to study connectivity between ROIs. The main aim of this method was to employ multiple eigen-time series in each ROI to avoid temporal information loss during identification of Granger causality. Such information loss is inherent in averaging (e.g., to yield a single ""representative"" time series per ROI). This, in turn, may lead to a lack of power in detecting connections. The proposed approach is based on multivariate statistical analysis and integrates PCA and partial canonical correlation in a framework of Granger causality for clusters (sets) of time series. We also describe an algorithm for statistical significance testing based on bootstrapping. By using Monte Carlo simulations, we show that the proposed approach outperforms conventional Granger causality analysis (i.e., using representative time series extracted by signal averaging or first principal components estimation from ROIs). The usefulness of the CGA approach in real fMRI data is illustrated in an experiment using human faces expressing emotions. With this data set, the proposed approach suggested the presence of significantly more connections between the ROIs than were detected using a single representative time series in each ROI. (c) 2010 Elsevier Inc. All rights reserved.

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We propose a likelihood ratio test ( LRT) with Bartlett correction in order to identify Granger causality between sets of time series gene expression data. The performance of the proposed test is compared to a previously published bootstrapbased approach. LRT is shown to be significantly faster and statistically powerful even within non- Normal distributions. An R package named gGranger containing an implementation for both Granger causality identification tests is also provided.

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Neste artigo tivemos a intenção de oferecer ao leitor o resumo de um dos aspectos mais importantes da análise estrutural que realizamos, durante décadas, do texto de Jean Piaget, sobretudo as estreitas relações entre a Biologia e a Lógica na construção e na explicação do conhecimento científico. Nesse sentido, procuramos demonstrar que, a partir dos conceitos de implicação significante e de imagem mental criados por Piaget, um novo campo de investigações se abre, a saber, aquele que denominamos como o dos sistemas de significação não lógica, campo de suma relevância e que vem preencher uma secular lacuna entre a razão e a emoção até hoje presente nas pesquisas sobre os fenômenos normais e patológicos do psiquismo.

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O estudo tem como ponto de partida a hipótese de que determinadas ocorrências nosológicas atendidas em pronto-socorro, escolhidas com base no conceito de evento sentinela, podem estar relacionadas a falhas da atenção básica e ser utilizadas na formulação de um indicador para o monitoramento desta atenção. Foram utilizados dados quantitativos e qualitativos sobre ocorrências previamente escolhidas e atendidas em pronto-socorro. Usando-se a triangulação de métodos, verificaram-se as diferenças das freqüências dessas ocorrências entre as áreas/unidades básicas de saúde (UBS) de procedência dos pacientes e as motivações determinantes da procura pelo pronto-socorro. As freqüências das ocorrências apresentaram valores de 30% a 42,8% conforme a área/UBS de procedência (Ç2 = 9,19 e p = 0,027). As entrevistas sugeriram a existência de causalidade entre o motivo declarado da procura do pronto-socorro e a atuação das unidades básicas. Conclui-se que: (1) a freqüência das ocorrências escolhidas foi influenciada pelas áreas/UBS de procedência das pessoas; (2) essa influência decorre, em parte, da situação da atenção básica; (3) o instrumental estudado é simples e pode contribuir para o gestor local no acompanhamento cotidiano da situação dos serviços básicos.

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Abstract The importance of thrombosis and anticoagulation in clinical practice is rooted firmly in several fundamental constructs that can be applied both broadly and globally. Awareness and the appropriate use of anticoagulant therapy remain the keys to prevention and treatment. However, to assure maximal efficacy and safety, the clinician must, according to the available evidence, choose the right drug, at the right dose, for the right patient, under the right indication, and for the right duration of time. The first International Symposium of Thrombosis and Anticoagulation in Internal Medicine was a scientific program developed by clinicians for clinicians. The primary objective of the meeting was to educate, motivate and inspire internists, cardiologists and hematologists by convening national and international visionaries, thought-leaders and dedicated clinician-scientists in Sao Paulo, Brazil. This article is a focused summary of the symposium proceedings

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Inicia-se uma discussão sobre as práticas de saúde e cuidado utilizadas pelos Kaiowá e Guarani da Terra Indígena de Caarapó no enfrentamento das doenças diarréicas na infância. Utilizou-se de uma contribuição etnográfica, através do uso da técnica da observação participante e de entrevistas aberta com moradores da comunidade. Em se tratando de uma sociedade que vivencia permanentes transformações de ordem social advindas das relações interétnicas e da sucessiva presença dos serviços de saúde, observa-se que o significado de diarréia infantil, assim como as decisões relativas à prevenção e ao seu tratamento, refletem comportamentos diferenciados e complexos. A diarréia, também conhecida como chiri, é definida através de sinais que, de certa forma, são semelhantes aos biomédicos. No entanto, nem sempre as explicações de causalidade e as formas de tratamento seguem, unicamente, a abordagem biomédica. A variedade de causas da doença diarréica entre as crianças indígenas implica na escolha do processo terapêutico, que pode ser desde a procura por um especialista tradicional, realização de chás e infusões e, ainda, procura pelos serviços de saúde. Tais explicações e formas de tratamento pressupõem a existência de um processo de negociação entre pessoas de uma mesma cultura e de culturas distintas. Neste sentido, os serviços de saúde ao tratar a criança com diarréia, devem considerar não apenas a perspectiva biomédica, mas também dialogar com a percepção e as práticas indígenas na identificação da causalidade, na definição do diagnóstico e do tratamento, sobretudo, pela coexistência destas práticas no contexto local

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We present the genome sequences of a new clinical isolate of the important human pathogen, Aspergillus fumigatus, A1163, and two closely related but rarely pathogenic species, Neosartorya fischeri NRRL181 and Aspergillus clavatus NRRL1. Comparative genomic analysis of A1163 with the recently sequenced A. fumigatus isolate Af293 has identified core, variable and up to 2% unique genes in each genome. While the core genes are 99.8% identical at the nucleotide level, identity for variable genes can be as low 40%. The most divergent loci appear to contain heterokaryon incompatibility ( het) genes associated with fungal programmed cell death such as developmental regulator rosA. Cross-species comparison has revealed that 8.5%, 13.5% and 12.6%, respectively, of A. fumigatus, N. fischeri and A. clavatus genes are species-specific. These genes are significantly smaller in size than core genes, contain fewer exons and exhibit a subtelomeric bias. Most of them cluster together in 13 chromosomal islands, which are enriched for pseudogenes, transposons and other repetitive elements. At least 20% of A. fumigatus-specific genes appear to be functional and involved in carbohydrate and chitin catabolism, transport, detoxification, secondary metabolism and other functions that may facilitate the adaptation to heterogeneous environments such as soil or a mammalian host. Contrary to what was suggested previously, their origin cannot be attributed to horizontal gene transfer ( HGT), but instead is likely to involve duplication, diversification and differential gene loss (DDL). The role of duplication in the origin of lineage-specific genes is further underlined by the discovery of genomic islands that seem to function as designated ""gene dumps'' and, perhaps, simultaneously, as "" gene factories''.

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In order to provide adequate multivariate measures of information flow between neural structures, modified expressions of partial directed coherence (PDC) and directed transfer function (DTF), two popular multivariate connectivity measures employed in neuroscience, are introduced and their formal relationship to mutual information rates are proved.

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Functional magnetic resonance imaging (fMRI) has become an important tool in Neuroscience due to its noninvasive and high spatial resolution properties compared to other methods like PET or EEG. Characterization of the neural connectivity has been the aim of several cognitive researches, as the interactions among cortical areas lie at the heart of many brain dysfunctions and mental disorders. Several methods like correlation analysis, structural equation modeling, and dynamic causal models have been proposed to quantify connectivity strength. An important concept related to connectivity modeling is Granger causality, which is one of the most popular definitions for the measure of directional dependence between time series. In this article, we propose the application of the partial directed coherence (PDC) for the connectivity analysis of multisubject fMRI data using multivariate bootstrap. PDC is a frequency domain counterpart of Granger causality and has become a very prominent tool in EEG studies. The achieved frequency decomposition of connectivity is useful in separating interactions from neural modules from those originating in scanner noise, breath, and heart beating. Real fMRI dataset of six subjects executing a language processing protocol was used for the analysis of connectivity. Hum Brain Mapp 30:452-461, 2009. (C) 2007 Wiley-Liss, Inc.

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The purpose of this article is to examine the causality between government size and corruption, and to verify if there is a different pattern of causality between developed Organization for Economic Co-operation and Development (OECD) countries (excluding Mexico) and developing countries (Latin American countries) during the period 1996 to 2003. Applying Granger and Huang`s (1997) methodology we find evidence that size of government Granger causes corruption in both samples. Since a larger government involvement in private markets today will be followed in future by a higher level of corruption a policy advice would be to enhance governance. The promotion of good governance helps to combat corruption given that it complements efforts to reduce corruption more directly, and it is strongly recommended by the International Monetary Fund, other multilateral institutions, and all worried with the negative impacts of corruption on economic activity.

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This paper aims to study the relationship between the debt level and the asset structure of Brazilian companies of the agribusiness sector, since it is considered a current and relevant discussion: to evaluate the mechanisms for fund-raising and guarantees. The methodology of Granger`s Causality test and Autoregressive Vectors was used to conduct a comparative analysis, applied to a financial database of companies with open capital of Brazilian agribusiness, in particular the agricultural sector and Fisheries and Food and Beverages in a period of 10 years (1997-2007) from quarterly series available in the database of Economatica(R). The results demonstrated that changes in leverage generate variations in the tangibility of the companies, a fact that can be explained by the large search of funding secured by fiduciary transfer of fixed assets, which facilitates access to credit by business of the Agribusiness sector, increasing the payment time and lowering interest rates.

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To discuss and share knowledge around advances in the care of patients with thrombotic disorders, the Third International Symposium of Thrombosis and Anticoagulation was held in So Paulo, Brazil, from October 14-16, 2010. This scientific program was developed by clinicians for clinicians, and was promoted by four major clinical research institutes: the Brazilian Clinical Research Institute, the Duke Clinical Research Institute of the Duke University School of Medicine, the Canadian VIGOUR Centre, and the Uppsala Clinical Research Center. Comprising 3 days of academic presentations and open discussion, the symposium had as its primary goal to educate, motivate, and inspire internists, cardiologists, hematologists, and other physicians by convening national and international visionaries, thought-leaders, and dedicated clinician-scientists. This paper summarizes the symposium proceedings.