Search results for "NEURAL NETWORK"
showing 10 items of 1385 documents
Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data
2019
Crohn Disease (CD) is a complex genetic disorder for which more than 140 genes have been identified using genome wide association studies (GWAS). However, the genetic architecture of the trait remains largely unknown. The recent development of machine learning (ML) approaches incited us to apply them to classify healthy and diseased people according to their genomic information. The Immunochip dataset containing 18,227 CD patients and 34,050 healthy controls enrolled and genotyped by the international Inflammatory Bowel Disease genetic consortium (IIBDGC) has been re-analyzed using a set of ML methods: penalized logistic regression (LR), gradient boosted trees (GBT) and artificial neural ne…
Neurovascular EGFL7 regulates adult neurogenesis in the subventricular zone and thereby affects olfactory perception
2016
Adult neural stem cells reside in a specialized niche in the subventricular zone (SVZ). Throughout life they give rise to adult-born neurons in the olfactory bulb (OB), thus contributing to neural plasticity and pattern discrimination. Here, we show that the neurovascular protein EGFL7 is secreted by endothelial cells and neural stem cells (NSCs) of the SVZ to shape the vascular stem-cell niche. Loss of EGFL7 causes an accumulation of activated NSCs, which display enhanced activity and re-entry into the cell cycle. EGFL7 pushes activated NSCs towards quiescence and neuronal progeny towards differentiation. This is achieved by promoting Dll4-induced Notch signalling at the blood vessel-stem …
Genetic prediction of ICU hospitalization and mortality in COVID‐19 patients using artificial neural networks
2021
There is an unmet need of models for early prediction of morbidity and mortality of Coronavirus disease-19 (COVID-19). We aimed to a) identify complement-related genetic variants associated with the clinical outcomes of ICU hospitalization and death, b) develop an artificial neural network (ANN) predicting these outcomes and c) validate whether complement-related variants are associated with an impaired complement phenotype. We prospectively recruited consecutive adult patients of Caucasian origin, hospitalized due to COVID-19. Through targeted next-generation sequencing, we identified variants in complement factor H/CFH, CFB, CFH-related, CFD, CD55, C3, C5, CFI, CD46, thrombomodulin/THBD, …
The Father in Youth Baseball: A Self-Determination Theory Approach
2021
This study based on the self-determination theory aims to examine the relationship among the aspirations that fathers have about their children’s youth baseball practice, the children’s basic psychological needs (satisfaction and frustration), and their intentions to either continue or drop out of baseball practice in a sample of children from Hermosillo, Mexico. A cross-sectional study was carried out involving 533 fathers (M = 44.30, SD = 5.18) and 533 children (M = 13.09, SD = 1.68). The results showed that the intrinsic aspirations of fathers were positively correlated to the satisfaction of the children’s psychological needs, whereas the extrinsic aspirations of fathers were positively…
The role of resilience in student-athletes' sport and school burnout and dropout: A longitudinal person-oriented study.
2019
Although it has been shown that student-athletes who pursue upper secondary school alongside with an athletic career may be prone to sport and school burnout, the concrete life changes resulting from burning out, such as dropping out of sport or school, have not been investigated. Moreover, it is unknown why some student-athletes do not burnout. The purpose of the present study was to examine whether there are different kinds of profiles-based on the level and development of sport and school burnout symptoms across upper secondary school-that can be identified among student-athletes and how resilience and the likelihood of dropping out from sport or school differ between the profiles. The s…
Association of Structural Global Brain Network Properties with Intelligence in Normal Aging
2013
Higher general intelligence attenuates age-associated cognitive decline and the risk of dementia. Thus, intelligence has been associated with cognitive reserve or resilience in normal aging. Neurophysiologically, intelligence is considered as a complex capacity that is dependent on a global cognitive network rather than isolated brain areas. An association of structural as well as functional brain network characteristics with intelligence has already been reported in young adults. We investigated the relationship between global structural brain network properties, general intelligence and age in a group of 43 cognitively healthy elderly, age 60–85 years. Individuals were assessed cross-sect…
USE OF FUZZY NEURAL NETWORKS IN MODELING RELATIONSHIPS OF HPV INFECTION WITH APOPTOTIC AND PROLIFERATION MARKERS IN POTENTIALLY MALIGNANT ORAL LESIONS
2005
To evaluate in oral leukoplakia the relationship between HPV infection and markers of apoptosis (bcl-2, survivin) and proliferation (PCNA), also conditionally to age, gender, smoking and drinking habits of patients, by means of Fuzzy neural networks (FNN) system 21 cases of oral leukopakia, clinically and histologically diagnosed, were examined for HPV DNA presence, bcl-2, survivin and PCNA expression. HPV DNA was investigated in exfoliated oral mucosa cells by nested PCR (nPCR: MY09-MY11/GP5-GP6), and the HPV genotype determined by direct DNA sequencing. All markers were investigated by means of standardised immunohistochemistry procedure. Data were analysed by chi-square test, crude OR an…
Glia talk back.
2014
This study shows that the activity of neurons can trigger shedding of a protein, NG2, from the surface of oligodendrocyte precursor cells; this protein in turn modulates synaptic transmission, revealing a two-way conversation between neurons and glia.
The default mode network and the working memory network are not anti-correlated during all phases of a working memory task
2015
INTRODUCTION:\ud \ud The default mode network and the working memory network are known to be anti-correlated during sustained cognitive processing, in a load-dependent manner. We hypothesized that functional connectivity among nodes of the two networks could be dynamically modulated by task phases across time.\ud METHODS:\ud \ud To address the dynamic links between default mode network and the working memory network, we used a delayed visuo-spatial working memory paradigm, which allowed us to separate three different phases of working memory (encoding, maintenance, and retrieval), and analyzed the functional connectivity during each phase within and between the default mode network and the …
Game creativity analysis using neural networks.
2008
Experts in ball games are characterized by extraordinary creative behaviour. This article outlines a framework for analysing types of individual development of creative performance based on neural networks. Therefore, two kinds of sport-specific training programme for the learning of game creativity in real field contexts were investigated. Two training groups (soccer, n=20; field hockey, n=17) but not a control group (n=18) improved with respect to three measuring points (P0.001), although no difference could be established between the two training groups (P=0.212). By using neural networks it is now possible to distinguish between five types of learning behaviour in the development of per…