Results 1 to 10 of about 58,240 (249)
Are advanced methods necessary to improve infant fNIRS data analysis? An assessment of baseline-corrected averaging, general linear model (GLM) and multivariate pattern analysis (MVPA) based approaches [PDF]
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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Statistical Analysis of fMRI Time-Series: A Critical Review of the GLM Approach [PDF]
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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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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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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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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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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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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Identification of microsatellite markers linked to grain discoloration disease in rice genotypes [PDF]
مجله بیوتکنولوژی کشاورزی, 2020 Objective Rice grain discoloration disease is emerging as a major threat in improved and late ripening varieties in the north of Iran that deteriorates grain quality and physical properties.
Somayeh Dariush +2 more
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Composite symmetric general linear methods (COSY-GLMs) for the long-time integration of reversible Hamiltonian systems [PDF]
BIT Numerical Mathematics, 2018 The author constructs a class of efficient numerical integration methods for the long time integration of reversible Hamiltonian systems. The approach is based on a composition of one-step methods, yielding some symmetric general linear methods, and the primary goal is to obtain high order methods.
openaire +1 more source