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Modeling & Analysis
2003
NeuroImage
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Uniform distributions of p values were observed for all three designs, again supporting the validity of the method. Non-uniform distributions were obtained when movement covariates were not included. ...
Abstract Order of appearance: 789 Abstract Background Magnetic resonance may provide image series describing cerebral functionalities correlated with external stimuli[1]. ...
With this temporal model, we analyze source reconstructed ERP image time series, over voxels, in a mass univariate fashion. ...
doi:10.1016/s1053-8119(05)70006-9
fatcat:zff2suxcofbxvetfrwfwcxi3zm
Spatio-temporal models for fMRI
[chapter]
2007
Statistical Parametric Mapping
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Introduction Functional Magnetic Resonance Imaging (fMRI) using Blood Oxygen Level Dependent (BOLD) contrast is an established method for making inferences about regionally specific activations in the ...
This results in the residuals of an fMRI analysis being temporally autocorrelated. ...
Appendix This appendix provides a number of formulae required for updating the approximate posteriors. These have been derived in [Penny et al. 2003 ]. ...
doi:10.1016/b978-012372560-8/50025-5
fatcat:qsipamotmfarnhzkwfifbki6oi
CORPORATE CONTRIBUTORS
1988
The Hastings center report
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Reaction time was analyzed by subtracting out the effects of motion strength and accuracy for each session and computing the autocorrelation function for the residuals. ...
Olman, Department of Neuroscience and Center for Magnetic Resonance Research, University of Minnesota
MONAURAL SOURCE SEPARATION USING SPECTRAL CUES Barak A. Pearlmutter and Anthony M. ...
This biologically plausible network accounts for differences in the typical correct versus incorrect responses to content-dependent and content-independent versions of the Wason task respectively. ...
doi:10.1002/j.1552-146x.1988.tb03932.x
fatcat:bkotcyah2ngbfdk4kbx3xnf5v4
Modelling the dynamic pattern of surface area in basketball and its effects on team performance
2018
Journal of Quantitative Analysis in Sports (JQAS)
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and analysis of a game with respect to surface areas dynamics and (ii) to investigate its influence on the points made by both the team and the opponent. ...
Using a time series of basketball players' coordinates, we focus on the dynamics of the surface area of the five players on the court with a two-fold purpose: (i) to give tools allowing a detailed description ...
Statistical decision on the brain activation maps in functional magnetic resonance imaging (fMRI) time series requires two steps: (1) calculating the statistics in brain regions; (2) thresholding the statistics ...
doi:10.1515/jqas-2018-0041
fatcat:b3qwsi7tqjg2vdo7gbjtiorv6m
Measuring shared responses across subjects using intersubject correlation
[article]
2019
bioRxiv
pre-print
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We also extend this logic to spatially distributed response patterns and functional network estimation. ...
We provide a thorough and accessible treatment of methodological considerations specific to ISC analysis, and outline best practices. ...
Situating ISC among traditional methods Traditional analyses of functional magnetic resonance imaging (fMRI) data follow a simple conceptual framework. ...
doi:10.1101/600114
fatcat:6h6eshqm3jbkhm6wd6cpzsi55y
Selection of a Model of Cerebral Activity for fMRI Group Data Analysis
[article]
2010
arXiv
pre-print
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Furthermore, it is based on a generative model that accounts for the spatial uncertainty on the localization of individual effects, due to spatial normalization errors. ...
This thesis is dedicated to the statistical analysis of multi-sub ject fMRI data, with the purpose of identifying bain structures involved in certain cognitive or sensori-motor tasks, in a reproducible ...
Functional magnetic resonance imaging (fMRI) is a modality of in vivo brain imaging that allows to measure the variations of cerebral blood oxygen levels induced by the neural activity of a subject lying ...
arXiv:1005.3225v1
fatcat:22aml4quivd2tmn4vilicqmd5e
Bayesian binary quantile regression for the analysis of Bachelor-to-Master transition
2016
Journal of Applied Statistics
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methods for Predictive and Exploratory Path modeling ...
The working group (WG) CMStatistics comprises a number of specialized teams in various research areas of computational and methodological statistics. ...
Co-authors: Roland Boubela, Klaus Nordhausen, Sara Taskinen Independent component analysis (ICA) has become a standard tool in the analysis of functional magnetic resonance imaging (fMRI) data. ...
doi:10.1080/02664763.2016.1263835
fatcat:l5eyielgxrct7hq5ljqeej5ccy
Dissociations between behavioural and functional magnetic resonance imaging-based evaluations of cognitive function after brain injury
2011
Brain
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These observations reveal significant challenges in developing validated functional magnetic resonance imaging-based methods for clinical use and raise interesting questions about underlying brain function ...
We studied seven severely brain-injured patients and a control group of 14 subjects using a novel hierarchical functional magnetic resonance imaging assessment utilizing mental imagery responses. ...
Functional magnetic resonance imaging data analysis We used three different types of data analysis: (i) blinded off-line data analysis of the binary choice and multiple-choice tasks; (ii) off-line analysis ...
doi:10.1093/brain/awr005
pmid:21354974
pmcid:PMC3044833
fatcat:fqgb3ryjx5gjxgqb63chyuv7cy
A sequential distance-based approach for imputing missing data: Forward Imputation
2016
Advances in Data Analysis and Classification
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However, for non-stationary time series in the level, one needs to account for the presence of two set of long-run relationships. ...
a uniform level of liquidity and to interpolate the discount functions. ...
doi:10.1007/s11634-016-0243-0
fatcat:yvrqlgllsbesbnvnzzci2egpl4
Bayesian Spatiotemporal Modeling Using Hierarchical Spatial Priors, with Applications to Functional Magnetic Resonance Imaging
2018
Bayesian Analysis
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Spatial Bayesian vari-
able selection models on functional magnetic resonance imaging time-series data.
Bayesian Analysis, 9:699–732.
Lindquist, M. A. (2008). ...
ii
Abstract
Functional magnetic resonance imaging (fMRI) has recently become a popular tool for
studying human brain activity. ...
doi:10.1214/18-ba1108
fatcat:bwso7eerrvfnzilzrl6fcahhxu
Development of the Complex General Linear Model in the Fourier Domain: Application to fMRI Multiple Input-Output Evoked Responses for Single Subjects
2013
Computational and Mathematical Methods in Medicine
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A linear time-invariant model based on statistical time series analysis in the Fourier domain for single subjects is further developed and applied to functional MRI (fMRI) blood-oxygen level-dependent ...
Analysis of BOLD data is typically carried out in the time domain where the data has a high temporal correlation. ...
In either case, the GLM approach requires a number of important assumptions be meant [13] , that include foremost that the noise in the time series be independent and identically distributed (i.i.d), ...
doi:10.1155/2013/645043
pmid:23840281
pmcid:PMC3697143
fatcat:kgzorpdy3rfvtdi2wi7wuudx2q
How to avoid mismodelling in GLM-based fMRI data analysis: cross-validated Bayesian model selection
2016
NeuroImage
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Voxel-wise general linear models (GLMs) are a standard approach for analyzing functional magnetic resonance imaging (fMRI) data. ...
However, the specification of first-level GLMs leaves the researcher with many degrees of freedom which is problematic given recent efforts to ensure robust and reproducible fMRI data analysis. ...
Software Note An implementation of voxel-wise cross-validated Bayesian model selection (cvBMS) compatible with SPM8 and SPM12 can be obtained from the corresponding author. ...
doi:10.1016/j.neuroimage.2016.07.047
pmid:27477536
fatcat:7ytsxi3b6bgwhdpnywhe76bp2a
Vascular autorescaling of fMRI (VasA fMRI) improves sensitivity of population studies: A pilot study
2016
NeuroImage
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The blood oxygenation level-dependent (BOLD) signal is widely used for functional magnetic resonance imaging (fMRI) of brain function in health and disease. ...
Several methods have been proposed to account for physiological vascularization differences between subjects and hence improve the sensitivity in group studies. ...
Introduction Functional magnetic resonance imaging (fMRI) is a non-invasive brain imaging technique that offers high spatial and temporal resolution. ...
doi:10.1016/j.neuroimage.2015.09.033
pmid:26416648
pmcid:PMC4655941
fatcat:uixhpixh2vcnnmfem5i22jzvke
Detecting Language Activations with Functional Magnetic Resonance Imaging
[chapter]
2004
Human Brain Function
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in functional Magnetic Resonance Imaging. ...
This corresponded to a p-value of 0.12 under an asymptotic distribution with 115 effective degrees o f freedom (computed after correction for autocorrelation in the fMRI time series; see Worsley and Friston ...
Here I refer to c^X^ZX^^c as design variance in contradistinction to a^c^X^ZX^^c which is contrast or estimator variance (note that when o^=l, the design and contrast variances are equivalent). ...
doi:10.1016/b978-012264841-0/50032-9
fatcat:qrj3cfoomzd6zan5iu3gjazd34
Statistical analysis of fNIRS data: A comprehensive review
2014
NeuroImage
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a r t i c l e i n f o Functional near-infrared spectroscopy (fNIRS) is a non-invasive method to measure brain activities using the changes of optical absorption in the brain through the intact skull. fNIRS ...
of the existing inference methods for fNIRS analysis can be derived as special cases. ...
In contrast to bloodoxygenation level-dependent (BOLD) response measured by functional magnetic resonance imaging (fMRI), which is a nonlinear function of oxygen level and cerebral blood flow (Buxton ...
doi:10.1016/j.neuroimage.2013.06.016
pmid:23774396
fatcat:pc3vhagvy5b3lidlq53ayu7h4i
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