Results 11 to 20 of about 55,363 (118)

Analysis of continuous infusion functional PET (fPET) in the human brain

NeuroImage, 2020
Functional positron emission tomography (fPET) is a neuroimaging method involving continuous infusion of 18-F-fluorodeoxyglucose (FDG) radiotracer during the course of a PET examination.
Shenpeng Li, Sharna D. Jamadar, Phillip G.D. Ward, Malin Premaratne, Gary F. Egan, Zhaolin Chen   +5 more
doaj   +1 more source

MET and AKT genetic influence on facial emotion perception. [PDF]

PLoS ONE, 2012
BackgroundFacial emotion perception is a major social skill, but its molecular signal pathway remains unclear. The MET/AKT cascade affects neurodevelopment in general populations and face recognition in patients with autism.
Ming-Teng Lin, Kuo-Hao Huang, Chieh-Liang Huang, Yu-Jhen Huang, Guochuan E Tsai, Hsien-Yuan Lane   +5 more
doaj   +1 more source

Generalized Linear Models outperform commonly used canonical analysis in estimating spatial structure of presence/absence data [PDF]

PeerJ, 2020
Background Ecological communities tend to be spatially structured due to environmental gradients and/or spatially contagious processes such as growth, dispersion and species interactions.
Lélis A. Carlos-Júnior, Joel C. Creed, Rob Marrs, Rob J. Lewis, Timothy P. Moulton, Rafael Feijó-Lima, Matthew Spencer   +6 more
doaj   +2 more sources

The effect of urinary essential and non-essential elements on serum albumin: Evidence from a community-based study of the elderly in Beijing

Frontiers in Nutrition, 2022
Background & aimsFew epidemiological studies have investigated the relationships of urinary essential and non-essential elements with serum albumin, an indicator of nutritional status, especially for the elderly in China.MethodsA community-based ...
Ang Li, Ang Li, Quan Zhou, Quan Zhou, Yayuan Mei, Yayuan Mei, Jiaxin Zhao, Jiaxin Zhao, Liu Liu, Meiduo Zhao, Meiduo Zhao, Jing Xu, Jing Xu, Xiaoyu Ge, Xiaoyu Ge, Qun Xu, Qun Xu   +16 more
doaj   +1 more source

Some General Linear Methods for the Numerical Solution of Non-Stiff IVPs in ODEs

Journal of Algorithms & Computational Technology, 2013
In this paper, we consider the construction of explicit General Linear Methods (GLM) for the numerical solution of non-stiff initial value problems (IVPs) in ordinary differential equations (ODEs).
R. I. Okuonghae, M. N. O. Ikhile, S. O. Ogunleye   +2 more
doaj   +1 more source

Improved physiological noise regression in fNIRS: A multimodal extension of the General Linear Model using temporally embedded Canonical Correlation Analysis

NeuroImage, 2020
For the robust estimation of evoked brain activity from functional Near-Infrared Spectroscopy (fNIRS) signals, it is crucial to reduce nuisance signals from systemic physiology and motion.
Alexander von Lühmann, Xinge Li, Klaus-Robert Müller, David A. Boas, Meryem A. Yücel   +4 more
doaj   +1 more source

Robust and Unbiased Variance of GLM Coefficients for Misspecified Autocorrelation and Hemodynamic Response Models in fMRI

International Journal of Biomedical Imaging, 2009
As a consequence of misspecification of the hemodynamic response and noise variance models, tests on general linear model coefficients are not valid. Robust estimation of the variance of the general linear model (GLM) coefficients in fMRI time series is ...
Lourens Waldorp
doaj   +1 more source

Efficiency of local minima and GLM techniques in sinkhole extraction from a LiDAR-based terrain model

International Journal of Digital Earth, 2019
The aim of this paper was to study reliable automated delineation possibilities of karst sinkholes using a LiDAR-based digital terrain model (DTM) with pixel-based classifications.
Péter Enyedi, Melinda Pap, Zoltán Kovács, László Takács-Szilágyi, Szilárd Szabó   +4 more
doaj   +1 more source

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
doaj   +1 more source

Functional transcranial Doppler: Selection of methods for statistical analysis and representation of changes in flow velocity

Health Science Reports, 2021
Introduction Transcranial Doppler (TCD) is a method used to study cerebral hemodynamics. In the majority of TCD studies, regression analysis and analysis of variance are the most frequently applied statistical methods.
Stephan T. Egger, Julio Bobes, Erich Seifritz, Stefan Vetter, Daniel Schuepbach   +4 more
doaj   +1 more source