Results 1 to 10 of about 58,941 (116)
NeuroImage, 2023 In the last decade, fNIRS has provided a non-invasive method to investigate neural activation in developmental populations. Despite its increasing use in developmental cognitive neuroscience, there is little consistency or consensus on how to pre-process and analyse infant fNIRS data.
Filippetti, Maria Laura +4 more
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Updated algorithms for direct and indirect mapping of WHOQOL-BREF to EQ-5D-5L utility scores using data from a multi-provincial Thai general population sample [PDF]
Health and Quality of Life OutcomesBackground Mapping techniques can estimate EQ-5D-5L utility scores from non-preference-based WHOQOL-BREF responses. A previous Thai study used a reciprocal linear model, but it may not adequately address the left-skewed distribution of utility scores ...
Krittaphas Kangwanrattanakul +1 more
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Statistical Analysis of fMRI Time-Series: A Critical Review of the GLM Approach
Frontiers in Human Neuroscience, 2011 Functional Magnetic Resonance Imaging (fMRI) is one of the most widely used tools to study the neural underpinnings of human cognition. Standard analysis of fMRI data relies on a General Linear Model (GLM) approach to separate stimulus induced signals ...
Martin M Monti
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Associations Between Endocrine Status and Stress, Mood and Psychosomatic Status in Elite Handball Players [PDF]
SportsPurpose: The assessment of endocrine status in elite athletes is typically linked to training load and perceived stress; however, the relationship between hormonal parameters and psychosomatic and stress indicators remains insufficiently understood. This
Fanny Zselyke Ratz-Sulyok +7 more
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Second derivative General Linear Method in Nordsieck form
Journal of Numerical Analysis and Approximation Theory, 2019 This paper considers the construction of second derivative general linear methods (SD-GLM) from hybrid LMM and their transformation to Nordsieck GLM. How the Runge-Kutta starters for the methods can be derived are given.
Robert I. Okuonghae +1 more
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Investigación e Innovación en Ingenierías, 2021 Objetivo: realizar un estudio comparativo entre las soluciones numéricas de sistemas de ecuaciones diferenciales ordinarias tipo Stiff obtenidas con el método General Linear Method (GLM) y dos solvers del software matemático MATLAB como ode45 y ode15s ...
Mayra Alejandra Vega Niño +2 more
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Computation, 2022 We study hybrid fuzzy differential equations (HFDEs) under the Hukuhara derivative numerically using Picard’s and the general linear method (GLM). We use trapezoidal and triangular fuzzy numbers as the initial conditions. To demonstrate the efficiency of
Saed Mallak, Basem Attili, Marah Subuh
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NeuroImage, 2023 Cerebrovascular reactivity (CVR) is a prognostic indicator of cerebrovascular health. Estimating CVR from endogenous end-tidal carbon dioxide (CO2) fluctuation and MRI signal recorded under resting state can be difficult due to the poor signal-to-noise ...
Botian Xu +5 more
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On Constrained Principal Component (CPCA) with Application on Bootstrap [PDF]
The Egyptian Statistical Journal, 2018 Linear model (LM) provide the advance in regression analysis, where it was consideres an important development of the last 45 years, following general linear model (GLM), principal component analysis (PCA) and constrained principal component analysis ...
Alaa Abd Elmegaly, Salah Mohamed
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Inter-subject correlation in fMRI: method validation against stimulus-model based analysis. [PDF]
PLoS ONE, 2012 Within functional magnetic resonance imaging (fMRI), the use of the traditional general linear model (GLM) based analysis methods is often restricted to strictly controlled research setups requiring a parametric activation model.
Juha Pajula +3 more
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