نتایج جستجو برای: general linear model glm
تعداد نتایج: 2990991 فیلتر نتایج به سال:
BACKGROUND Facial 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. This study explores the possible role of MET/AKT cascade in facial emotion perception. METHODS One hundred and eighty two unrelated healthy volunteers (82 men and 100 wo...
This paper proposes a unified framework for duration and intonation modeling in Mandarin TTS. In this framework, we design a novel parametric representation of mandarin intonation based on orthogonal polynomial approximation. By this representation, we can decompose F0 vector into 3 orthogonal polynomial parameters that are continuous scalars. Based on this vector-to-scalar decomposition, we ca...
This paper is necessarily restricted to application of Generalised Linear Models(GLM) and Generalised Additive Models(GAM), and is intended to provide readers with some measure of the power of these mathematical tools for modeling Health/Illness data systems. We are all aware that illness, in general and children illness, in particular is amongst the most serious socio-economic and demographic ...
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 from noise. Crucially, this approach relies on a number of assumptions about the data which, for inferences to be valid, must be met. The current...
Subject motion degrades the quality of task functional magnetic resonance imaging (fMRI) data. Here, we test two classes of methods to counteract the effects of motion in task fMRI data: (1) a variety of motion regressions and (2) motion censoring ("motion scrubbing"). In motion regression, various regressors based on realignment estimates were included as nuisance regressors in general linear ...
Variability in single neuron models is typically implemented either by a stochastic Leaky-Integrate-and-Fire model or by a model of the Generalized Linear Model (GLM) family. We use analytical and numerical methods to relate state-of-theart models from both schools of thought. First we find the analytical expressions relating the subthreshold voltage from the Adaptive Exponential Integrate-andF...
OBJECTIVE To help facilitate economic evaluations of oncology treatments, we mapped responses on cancer-specific instrument to generic preference-based measures. METHODS Cancer patients (n = 367) completed one cancer-specific instrument, the FACT-G, and two preference-based measures, the EQ-5D and SF-6D. Responses were randomly divided to form development (n = 184) and cross-validation (n = 1...
R. Mutihac Electricity and Biophysics, University of Bucharest, Bucharest, Romania Objective Analysis of an fMRI block-based visual stimulation paradigm was comparatively performed by wavelet analysis and statistical parametric mapping (SPM) [1] based on Gaussian Random Field Theory (RFT). The voxels were isotropic and the same general linear model (GLM) was employed in both SPM and the discret...
Several experiments were conducted in order to investigate the usefulness of mixture of experts (ME) approach to an online internet system assisting in real estate appraisal. All experiments were performed using 28 realworld datasets composed of data taken from a cadastral system and GIS data derived from a cadastral map. The analysis of the results was performed using recently proposed statist...
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