4 research outputs found

    Fenologia reprodutiva do maracujazeiro-azedo no município de Campos dos Goytacazes, RJ Reproductive phenological of passion fruit in Campos dos Goytacazes, RJ, Brazil

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    Este estudo teve como objetivo caracterizar a fenologia reprodutiva do maracujazeiro-azedo no período de setembro de 2009 a setembro de 2010, nas condições do município de Campos dos Goytacazes-RJ (21° 45'W; 41°20'S). Avaliaram-se os dados referentes ao florescimento e frutificação, correlacionados com variáveis climatológicas (temperatura e pluviosidade). Uma escala para a avaliação do desenvolvimento dos estádios fenológicos reprodutivos do maracujazeiro-azedo foi proposta, com base em imagens digitalizadas de nove fenofases. Observou-se que o florescimento foi de outubro a março, meses com as maiores temperaturas médias, com pico no mês de janeiro e maior percentagem de frutos maduros no mês de fevereiro. A escala das diferentes fenofases foi útil na caracterização da fenologia reprodutiva do maracujazeiro-azedo. A variável temperatura apresentou alta correlação com o número de flores (0,87), indicando que é um agente fundamental no florescimento do maracujazeiro-azedo.<br>This research aimed to characterize the reproductive phenological of sour passion fruit from September 2009 to September 2010, in Campos dos Goytacazes city, Rio de Janeiro state, Brazil (21° 45'W; 41° 20'S). Data of flowering and fructification were evaluated and correlated with climatologic variables (temperature and rainfall). To evaluate phenological stages a scale was proposed based on digitals images of nine reproductive stages. The scale was useful in passion fruit reproductive phenological characterization. The flowering was of October to March, peak in January, and the peak fructification in February. The temperature showed high correlation with number of flowers (0.87), thus indicating that the temperature has an important effect in flowering of sour passion fruit

    Topographic divergence of atypical cortical asymmetry and atrophy patterns in temporal lobe epilepsy

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    Temporal lobe epilepsy (TLE), a common drug-resistant epilepsy in adults, is primarily a limbic network disorder associated with predominant unilateral hippocampal pathology. Structural MRI has provided an in vivo window into whole-brain grey matter structural alterations in TLE relative to controls, by either mapping (i) atypical inter-hemispheric asymmetry or (ii) regional atrophy. However, similarities and differences of both atypical asymmetry and regional atrophy measures have not been systematically investigated. Here, we addressed this gap using the multi-site ENIGMA-Epilepsy dataset comprising MRI brain morphological measures in 732 TLE patients and 1,418 healthy controls. We compared spatial distributions of grey matter asymmetry and atrophy in TLE, contextualized their topographies relative to spatial gradients in cortical microstructure and functional connectivity calculated using 207 healthy controls obtained from Human Connectome Project and an independent dataset containing 23 TLE patients and 53 healthy controls, and examined clinical associations using machine learning. We identified a marked divergence in the spatial distribution of atypical inter-hemispheric asymmetry and regional atrophy mapping. The former revealed a temporo-limbic disease signature while the latter showed diffuse and bilateral patterns. Our findings were robust across individual sites and patients. Cortical atrophy was significantly correlated with disease duration and age at seizure onset, while degrees of asymmetry did not show a significant relationship to these clinical variables. Our findings highlight that the mapping of atypical inter-hemispheric asymmetry and regional atrophy tap into two complementary aspects of TLE-related pathology, with the former revealing primary substrates in ipsilateral limbic circuits and the latter capturing bilateral disease effects. These findings refine our notion of the neuropathology of TLE and may inform future discovery and validation of complementary MRI biomarkers in TLE
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