Combining ICA and GLM: A hybrid approach to FMRI analysis

Combining ICA and GLM: A hybrid approach to FMRI analysis

Detalhes bibliográficos
Principais autores:	Beckmann, C, Tracey, I, Noble, J, Smith, S
Formato:	Conference item
Publicado em:	2000

Registros relacionados

Spatio-temporal accuracy of ICA for FMRI
por: Beckmann, C, et al.
Publicado em: (2001)

Investigating the intrinsic dimensionality of FMRI data for ICA
por: Beckmann, C, et al.
Publicado em: (2001)

Spatial ICA reveals functional activity hidden from traditional fMRI GLM-based analyses
por: Jiansong eXu, et al.
Publicado em: (2013-08-01)

Exploratory motion analysis in fMRI using ICA
por: Bannister, P, et al.
Publicado em: (2001)

Hand classification of fMRI ICA noise components
por: Griffanti, L, et al.
Publicado em: (2016)

ANOVA and ANCOVA : a GLM approach /
por: Rutherford, Andrew, 1958- 539143
Publicado em: (c201)

Artefact detection in FMRI data using independent component analysis
por: Beckmann, C, et al.
Publicado em: (2000)

Data-driven analysis of simultaneous EEG/fMRI using an ICA approach
por: Lena eSchmüser, et al.
Publicado em: (2014-07-01)

Robust and Unbiased Variance of GLM Coefficients for Misspecified Autocorrelation and Hemodynamic Response Models in fMRI
por: Lourens Waldorp
Publicado em: (2009-01-01)

ICA of fMRI studies: new approaches and cutting edge applications
por: Simon Daniel Robinson, et al.
Publicado em: (2013-10-01)

Comparing the reliability of different ICA algorithms for fMRI analysis.
por: Pengxu Wei, et al.
Publicado em: (2022-01-01)

Temporally and spatially constrained ICA of fMRI data analysis.
por: Zhi Wang, et al.
Publicado em: (2014-01-01)

Comparing the reliability of different ICA algorithms for fMRI analysis
por: Pengxu Wei, et al.
Publicado em: (2022-01-01)

PASS-GLM: Polynomial approximate sufficient statistics for scalable Bayesian GLM inference
por: Huggins, Jonathan H., et al.
Publicado em: (2020)

ICA-fNORM: Spatial normalization of fMRI data using intrinsic group-ICA networks
por: Siddharth eKhullar, et al.
Publicado em: (2011-11-01)

ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging.
por: Griffanti, L, et al.
Publicado em: (2014)

Corrigendum: The quest for EEG power band correlation with ICA derived fMRI resting state networks
por: Matthias Christoph Meyer, et al.
Publicado em: (2014-09-01)

Hybrid ICA-Seed-Based Methods for fMRI Functional Connectivity Assessment: A Feasibility Study
por: Robert E. Kelly, et al.
Publicado em: (2010-01-01)

A Constrained ICA-EMD Model for Group Level fMRI Analysis
por: Simon Wein, et al.
Publicado em: (2020-04-01)

(α)-Stable Multi-Derivative GLM
por: R. I. Okuonghae, et al.
Publicado em: (2015-12-01)

Task-driven ICA feature generation for accurate and interpretable prediction using fMRI
por: Duff, E, et al.
Publicado em: (2012)

Task-driven ICA feature generation for accurate and interpretable prediction using fMRI.
por: Duff, E, et al.
Publicado em: (2012)

CPMI-ChatGLM: parameter-efficient fine-tuning ChatGLM with Chinese patent medicine instructions
por: Can Liu, et al.
Publicado em: (2024-03-01)

Effect of Spatial Smoothing on Task fMRI ICA and Functional Connectivity
por: Zikuan Chen, et al.
Publicado em: (2018-02-01)

Temporally constrained ICA with threshold and its application to fMRI data
por: Zhiying Long, et al.
Publicado em: (2019-01-01)

An automated method for identifying artifact in ICA of resting-state fMRI
por: Kaushik eBhaganagarapu, et al.
Publicado em: (2013-07-01)

Non-linear ICA Analysis of Resting-State fMRI in Mild Cognitive Impairment
por: Xia-an Bi, et al.
Publicado em: (2018-06-01)

A Hybrid GLM Model for Predicting Citywide Spatio-Temporal Metro Passenger Flow
por: Yong Han, et al.
Publicado em: (2021-04-01)

Decomposing interactions using GLM in combination with the COMPARE, LMATRIX and MMATRIX subcommands in SPSS
por: Glen T. Howell, et al.
Publicado em: (2012-02-01)

Tensorial extensions of independent component analysis for multisubject FMRI analysis.
por: Beckmann, C, et al.
Publicado em: (2005)

Evaluating the efficacy of multi-echo ICA denoising on model-based fMRI
por: Adam Steel, et al.
Publicado em: (2022-12-01)

Clustering-Constrained ICA for Ballistocardiogram Artifacts Removal in Simultaneous EEG-fMRI
por: Kai Wang, et al.
Publicado em: (2018-02-01)

Classification of GLM Flashes Using Random Forests
por: Jacquelyn Ringhausen, et al.
Publicado em: (2021-11-01)

Enhancing the Teaching of Statistics by Use of the Full GLM
por: Richard L Gorsuch
Publicado em: (2015-02-01)

Analysis of group ICA-based connectivity measures from fMRI: application to Alzheimer's disease.
por: Shanshan Li, et al.
Publicado em: (2012-01-01)

glmGUI v1.0: an R-based graphical user interface and toolbox for GLM (General Lake Model) simulations
por: T. Bueche, et al.
Publicado em: (2020-02-01)

SAS for linear models : guide to the Anova and GLM procedures /
por: Freund, Rudolf Jakob, 1927-, et al.
Publicado em: (1981)

Statistical analysis of fMRI data
por: Woolrich, M, et al.
Publicado em: (2009)

Impact of automated ICA-based denoising of fMRI data in acute stroke patients
por: Carone, D, et al.
Publicado em: (2017)

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