Results 31 to 40 of about 133,681 (240)

Two-step paretial least square regression classifiers in brain-state decoding using functional magnetic resonance imaging.

PLoS ONE, 2019
Multivariate analysis methods have been widely applied to decode brain states from functional magnetic resonance imaging (fMRI) data. Among various multivariate analysis methods, partial least squares regression (PLSR) is often used to select relevant ...
Zhiying Long, Yubao Wang, Xuanping Liu, Li Yao   +3 more
doaj   +1 more source

A New SDIMSIM Methods with Optimized Region of Stability and Sustainable Development with Applications On Neutrosophic Data [PDF]

Neutrosophic Sets and Systems
General Linear Methods (GLMs) were introduced as logical extensions of the conventional Runge–Kutta and linear multistep methods. In the scenario when second derivatives, in addition to first derivatives, can be computed, a GLM modification known as ...
A.Y. J. Almasoodi, Mohammed Kadhim Mohsin, Sarah A.AL-Ameedee, Mohammed Amer Shanyoor   +3 more
doaj   +1 more source

A novel technique for delineating the effect of variation in the learning rate on the neural correlates of reward prediction errors in model-based fMRI

Frontiers in Psychology, 2023
IntroductionComputational models play an increasingly important role in describing variation in neural activation in human neuroimaging experiments, including evaluating individual differences in the context of psychiatric neuroimaging.
Henry W. Chase
doaj   +1 more source

Global sensitivity analysis of computer models with functional inputs [PDF]

, 2007
Global sensitivity analysis is used to quantify the influence of uncertain input parameters on the response variability of a numerical model. The common quantitative methods are applicable to computer codes with scalar input variables. This paper aims to
Iooss, Bertrand, Ribatet, Mathieu
core   +6 more sources

The Finite Mode Predictor-Corrector Methods in the Framework of General Linear Methods

پژوهش‌های ریاضی, 2020
Introduction General linear methods(GLM) was developed by Butcher in 1966 as an extension of the traditional Runge-Kutta and linear multistep methods [1]. The classification of GLMs is an important open and active research area. Many authors studied GLMs
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doaj  

Tensor Regression with Applications in Neuroimaging Data Analysis [PDF]

, 2012
Classical regression methods treat covariates as a vector and estimate a corresponding vector of regression coefficients. Modern applications in medical imaging generate covariates of more complex form such as multidimensional arrays (tensors ...
Caffo B., Casey B., Davatzikos C., de Lathauwer L., de Leeuw J., de Leeuw J., Fan J., Frank I. E., Friston K. J., Hinrichs C., Hongtu Zhu, Hua Zhou, Hung H., Kang H., Kolda T. G., Lange K., Lazar N. A., Lexin Li, Li B., Li Y., Li Y., Lindquist M., Liu X., Martino F. D., McCullagh P., Park S. W., Polzehl J., Qiu P., Qiu P., Rao C. R., Reiss P., Rothenberg T. J., Ryali S., Sidiropoulos N. D., Sowell E. R., Tibshirani R., Valera E. M., van der Vaart A. W., Worsley K. J., Yue Y., Zhou H., Zou H.   +41 more
core   +3 more sources

Structure–Function Decoupling of the Sensorimotor and Default Mode Networks in Black Americans With MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Multiple sclerosis (MS) exhibits racially disparate rates of disease progression. Black people with MS (B‐PwMS) experience a more severe disease course than non‐Hispanic White people with MS (NHW‐PwMS). Here we investigated structural and functional connectivity as well as structure–function decoupling in the ...
Emilio Cipriano, Giacomo Boffa, Maria Petracca, Marta Ponzano, Nicole Graziano, Claire Wigley, Claire Riley, Jonathan Howard, Pietro Bontempi, Sylvia Klineova, Fred Lublin, Matilde Inglese   +11 more
wiley   +1 more source

Pattern of cortical thinning in logopenic progressive aphasia patients in Thailand

BMC Neurology, 2021
Background Logopenic progressive aphasia (LPA) is an uncommon neurodegenerative disorder primarily characterized by word-finding difficulties and sentence repetition impairment.
Sekh Thanprasertsuk, Yuttachai Likitjaroen   +1 more
doaj   +1 more source

Blended General Linear Methods based on Boundary Value Methods in the GBDF family [PDF]

, 2009
Among the methods for solving ODE-IVPs, the class of General Linear Methods (GLMs) is able to encompass most of them, ranging from Linear Multistep Formulae (LMF) to RK formulae.
Brugnano, Luigi, Magherini, Cecilia
core   +4 more sources

Experimental Design Modulates Variance in BOLD Activation: The Variance Design General Linear Model

, 2018
Typical fMRI studies have focused on either the mean trend in the blood-oxygen-level-dependent (BOLD) time course or functional connectivity (FC). However, other statistics of the neuroimaging data may contain important information.
Gaut, Garren, Li, Xiangrui, Lu, Zhong-Lin, Steyvers, Mark   +3 more
core   +1 more source