Combining ICA and GLM: A hybrid approach to FMRI analysis

Combining ICA and GLM: A hybrid approach to FMRI analysis

Bibliográfalaš dieđut
Váldodahkkit:	Beckmann, C, Tracey, I, Noble, J, Smith, S
Materiálatiipa:	Conference item
Almmustuhtton:	2000

Geahča maid

Spatio-temporal accuracy of ICA for FMRI
Dahkki: Beckmann, C, et al.
Almmustuhtton: (2001)

Investigating the intrinsic dimensionality of FMRI data for ICA
Dahkki: Beckmann, C, et al.
Almmustuhtton: (2001)

Spatial ICA reveals functional activity hidden from traditional fMRI GLM-based analyses
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Almmustuhtton: (2013-08-01)

Exploratory motion analysis in fMRI using ICA
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Almmustuhtton: (2001)

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Almmustuhtton: (2016)

ANOVA and ANCOVA : a GLM approach /
Dahkki: Rutherford, Andrew, 1958- 539143
Almmustuhtton: (c201)

Artefact detection in FMRI data using independent component analysis
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Almmustuhtton: (2000)

Data-driven analysis of simultaneous EEG/fMRI using an ICA approach
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Almmustuhtton: (2014-07-01)

Robust and Unbiased Variance of GLM Coefficients for Misspecified Autocorrelation and Hemodynamic Response Models in fMRI
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ICA of fMRI studies: new approaches and cutting edge applications
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Comparing the reliability of different ICA algorithms for fMRI analysis.
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Temporally and spatially constrained ICA of fMRI data analysis.
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Almmustuhtton: (2014-01-01)

Comparing the reliability of different ICA algorithms for fMRI analysis
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Almmustuhtton: (2022-01-01)

PASS-GLM: Polynomial approximate sufficient statistics for scalable Bayesian GLM inference
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ICA-fNORM: Spatial normalization of fMRI data using intrinsic group-ICA networks
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Almmustuhtton: (2011-11-01)

ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging.
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Corrigendum: The quest for EEG power band correlation with ICA derived fMRI resting state networks
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Almmustuhtton: (2014-09-01)

Hybrid ICA-Seed-Based Methods for fMRI Functional Connectivity Assessment: A Feasibility Study
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A Constrained ICA-EMD Model for Group Level fMRI Analysis
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(α)-Stable Multi-Derivative GLM
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Task-driven ICA feature generation for accurate and interpretable prediction using fMRI
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Almmustuhtton: (2012)

Task-driven ICA feature generation for accurate and interpretable prediction using fMRI.
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CPMI-ChatGLM: parameter-efficient fine-tuning ChatGLM with Chinese patent medicine instructions
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Almmustuhtton: (2024-03-01)

Effect of Spatial Smoothing on Task fMRI ICA and Functional Connectivity
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Temporally constrained ICA with threshold and its application to fMRI data
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An automated method for identifying artifact in ICA of resting-state fMRI
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Non-linear ICA Analysis of Resting-State fMRI in Mild Cognitive Impairment
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A Hybrid GLM Model for Predicting Citywide Spatio-Temporal Metro Passenger Flow
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Decomposing interactions using GLM in combination with the COMPARE, LMATRIX and MMATRIX subcommands in SPSS
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Tensorial extensions of independent component analysis for multisubject FMRI analysis.
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Evaluating the efficacy of multi-echo ICA denoising on model-based fMRI
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Clustering-Constrained ICA for Ballistocardiogram Artifacts Removal in Simultaneous EEG-fMRI
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Classification of GLM Flashes Using Random Forests
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Enhancing the Teaching of Statistics by Use of the Full GLM
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Analysis of group ICA-based connectivity measures from fMRI: application to Alzheimer's disease.
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glmGUI v1.0: an R-based graphical user interface and toolbox for GLM (General Lake Model) simulations
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SAS for linear models : guide to the Anova and GLM procedures /
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Almmustuhtton: (1981)

Statistical analysis of fMRI data
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Almmustuhtton: (2009)

Impact of automated ICA-based denoising of fMRI data in acute stroke patients
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Almmustuhtton: (2017)

Impact of automated ICA-based denoising of fMRI data in acute stroke patients
Dahkki: D. Carone, et al.
Almmustuhtton: (2017-01-01)