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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Robust statistical methods: a primer for clinical psychology and experimental psychopathology researchers [PDF]
, 2017 This paper reviews and offers tutorials on robust statistical methods relevant to clinical and experimental psychopathology researchers. We review the assumptions of one of the most commonly applied models in this journal (the general linear model, GLM ...
Andy P. Field +50 more
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Quantitative Analysis of Arterial Spin Labeling FMRI Data Using a General Linear Model [PDF]
, 2010 Arterial spin labeling techniques can yield quantitative measures of perfusion by fitting a kinetic model to difference images (tagged-control). Because of the noisy nature of the difference images investigators typically average a large number of tagged
Hernandez-Garcia, Luis +2 more
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Comparing fNIRS signal qualities between approaches with and without short channels.
PLoS ONE, 2020 Functional near-infrared spectroscopy (fNIRS) is a non-invasive technique used to measure changes in oxygenated (HbO) and deoxygenated (HbR) hemoglobin, related to neuronal activity.
Xin Zhou +3 more
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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 +5 more
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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 +5 more
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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 +6 more
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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 +16 more
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The Overlooked Potential of Generalized Linear Models in Astronomy - I: Binomial Regression [PDF]
, 2015 Revealing hidden patterns in astronomical data is often the path to fundamental scientific breakthroughs; meanwhile the complexity of scientific inquiry increases as more subtle relationships are sought.
Biffi, V. +8 more
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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 +2 more
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