A group analysis using the Multiregression Dynamic Models for fMRI networked time series

A group analysis using the Multiregression Dynamic Models for fMRI networked time series

Connectivity studies of the brain are usually based on functional Magnetic Resonance Imaging (fMRI) experiments involving many subjects. These studies need to take into account not only the interaction between areas of a single brain but also the differences amongst those subjects. In this paper we...

書目詳細資料
Main Authors:	Costa, L, Smith, J, Nichols, T
格式:	Journal article
出版:	Elsevier 2018

相似書籍

Studying the effective brain connectivity using multiregression dynamic models
由: Costa, L, et al.
出版: (2017)

Hyperscanning fNIRS data analysis using multiregression dynamic models: an illustration in a violin duo
由: Diego Carvalho do Nascimento, et al.
出版: (2023-07-01)

Prediction Models of Financial Markets Based on Multiregression Algorithms
由: Antoni Wilinski
出版: (2011-10-01)

Statistical analysis of fMRI data
由: Woolrich, M, et al.
出版: (2009)

On bias in the estimation of autocorrelations for fMRI voxel time-series analysis.
由: Marchini, J, et al.
出版: (2003)

Optimising network modelling methods for fMRI
由: Pervaiz, U, et al.
出版: (2020)

Optimising network modelling methods for fMRI
由: Usama Pervaiz, et al.
出版: (2020-05-01)

Robust affine motion correction in fMRI time series
由: Bannister, P, et al.
出版: (2001)

Biclustering fMRI time series: a comparative study
由: Eduardo N. Castanho, et al.
出版: (2022-05-01)

Multivariate semi-blind deconvolution of fMRI time series
由: Hamza Cherkaoui, et al.
出版: (2021-11-01)

Isolating the sources of pipeline-variability in group-level task-fMRI results
由: Bowring, A, et al.
出版: (2021)

Group-PCA for very large fMRI datasets.
由: Smith, S, et al.
出版: (2014)

Group-PCA for very large fMRI datasets
由: Smith, S, et al.
出版: (2014)

Exploring fMRI results space: 31 variants of an fMRI analysis in AFNI, FSL, and SPM
由: Pauli, R, et al.
出版: (2016)

Multi-dynamic modelling reveals strongly time-varying resting fMRI correlations
由: Pervaiz, U, et al.
出版: (2022)

Optimising network modelling methods for fMRI
由: Pervaiz, U
出版: (2021)

Overview of fMRI analysis.
由: Smith, S
出版: (2004)

Computing brain activity maps from fMRI time-series images /
由: 248460 Sarty, Gordon E.
出版: (2007)

A simple but tough-to-beat baseline for fMRI time-series classification
由: Pavel Popov, et al.
出版: (2024-12-01)

Pitfalls in fractal time series analysis: fMRI BOLD as an exemplary case
由: Andras eEke, et al.
出版: (2012-11-01)

Optimization of Working Conditions for Perovskite-Based Gas Sensor Devices by Multiregression Analysis
由: Fabio Zaza, et al.
出版: (2019-01-01)

Multiregression spatially variant blur kernel estimation based on inter‐kernel consistency
由: Min Hyuk Kim, et al.
出版: (2023-04-01)

Time-varying dynamic network model for dynamic resting state functional connectivity in fMRI and MEG imaging
由: Fei Jiang, et al.
出版: (2022-07-01)

Group Surrogate Data Generating Models and similarity quantification of multivariate time-series: A resting-state fMRI study
由: Takuto Okuno, et al.
出版: (2023-10-01)

Rest-fMRI—A Potential Substitute for Task-fMRI?
由: Santosh S. Gupta, et al.
出版: (2024-10-01)

Reproducibility of graph metrics in fMRI networks
由: Qawi K Telesford, et al.
出版: (2010-12-01)

Sparse Group Bases for Multisubject fMRI Data
由: Muhammad Usman Khalid
出版: (2022-01-01)

Moderated t-tests for group-level fMRI analysis
由: Guoqing Wang, et al.
出版: (2021-08-01)

Functional connectomics from resting-state fMRI
由: Smith, S, et al.
出版: (2013)

Fixing the stimulus-as-fixed-effect fallacy in task fMRI
由: Westfall, J, et al.
出版: (2017)

Molecular fMRI
由: Barandov, Ali, et al.
出版: (2017)

DC Shifts-fMRI: A Supplement to Event-Related fMRI
由: Qiang Li, et al.
出版: (2019-06-01)

Exploring the impact of analysis software on task fMRI results
由: Bowring, A, et al.
出版: (2019)

Acute TMS/fMRI response explains offline TMS network effects – An interleaved TMS-fMRI study
由: M. Tik, et al.
出版: (2023-02-01)

A Sparse EEG-Informed fMRI Model for Hybrid EEG-fMRI Neurofeedback Prediction
由: Claire Cury, et al.
出版: (2020-01-01)

Functional connectomics from resting-state fMRI.
由: Smith, S, et al.
出版: (2013)

On the reproducibility and interpretability of group-level task-fMRI results
由: Bowring, A
出版: (2019)

The Role of Cerebrovascular-Reactivity Mapping in Functional MRI: Calibrated fMRI and Resting-State fMRI
由: J. Jean Chen, et al.
出版: (2021-03-01)

In search of functional specificity in the brain : generative models for group fMRI data
由: Lashkari, Danial
出版: (2011)

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