Cognitive impairments in schizophrenia have been recognized as a prominent feature of the illness. Research is now focusing on determining a relationship between neurocognitive impairments, and social and functional outcome. Despite a number of comprehensive reviews on neurocognitive measures and reports on spatial working memory abnormalities in patients with schizophrenia when compared to healthy volunteers, there have been no meta-analyses of the extent of the abnormality in this group of patients. We reviewed 33 studies (from 1992 to 2005) on spatial working memory impairment in schizophrenia with the aim of providing a quantitative assessment of the consistency and the magnitude of the deficit. From the quantitative data analysis, it is evident that patients with schizophrenia are consistently more impaired on the spatial working memory measures than healthy controls. These impairments may be related to social disability and explain some cognitive deficits that characterize the clinical presentation of schizophrenia.
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http://dx.doi.org/10.1016/j.psychres.2006.03.018 | DOI Listing |
Comput Biol Med
January 2025
College of Physics and Electronic Information Engineering, Zhejiang Normal University, Jinhua, 321004, China; Zhejiang Institute of Optoelectronics, Jinhua, 321004, China. Electronic address:
Accurate segmentation of brain tumors from MRI scans is a critical task in medical image analysis, yet it remains challenging due to the complex and variable nature of tumor shapes and sizes. Traditional convolutional neural networks (CNNs), while effective for local feature extraction, struggle to capture long-range dependencies crucial for 3D medical image analysis. To address these limitations, this paper presents VcaNet, a novel architecture that integrates a Vision Transformer (ViT) with a fusion channel and spatial attention module (CBAM), aimed at enhancing 3D brain tumor segmentation.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Computer Science, University of Jaén, Jaén, Spain.
In the production sector, the usefulness of predictive systems as a tool for management and decision-making is well known. In the agricultural sector, a correct economic balance of the farm depends on making the right decisions. For this purpose, having information in advance on crop yields is an extraordinary help.
View Article and Find Full Text PDFEur Radiol
January 2025
Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, University Medical Centre Rostock, Rostock, Germany.
Purpose: To investigate the test-retest repeatability of radiomic features in myocardial native T1 and T2 mapping.
Methods: In this prospective study, 50 healthy volunteers (29 women and 21 men, mean age 39.4 ± 13.
Plant Divers
November 2024
College of Urban and Environmental Sciences, MOE Key Laboratory of Earth Surface Processes, Peking University, Beijing 100871, China.
Grasslands account for about a quarter of the Earth's land area and are one of the major terrestrial ecosystems, with significant ecological and economic values. The influence of environmental factors and management types on grassland biodiversity has garnered considerable attention. This study investigated how patterns of species richness are influenced by geographical distance, environmental gradients, and management type in the moist mountain grasslands of northeastern Yunnan, China.
View Article and Find Full Text PDFPlant Divers
November 2024
Laboratório de Ciências Ambientais, Universidade Estadual do Norte Fluminense Darcy Ribeiro, Campos dos Goytacazes, Rio de Janeiro, Brazil.
Functional diversity (FD) reflects within- and between-site variation of species traits (α- and β-FD, respectively). Understanding how much data types (occurrence-based vs. abundance-weighted) and spatial scales (sites vs.
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