fMRI group analysis based on outputs from Matrix-Variate Dynamic Linear Models

In this work, we describe in more detail how to perform fMRI group analysis using inputs from modeling fMRI signal using Matrix-Variate Dynamic Linear Models (MDLM) at the individual level. After computing a posterior distribution for the average group activation, the three algorithms (FEST, FSTS, and FFBS) proposed from the previous work by Jiménez et al. [2019] can be easily implemented. We also propose an additional algorithm, which we call AG-algorithm, to draw on-line trajectories of the state parameter and therefore assess voxel activation at the group level. The performance of our method is illustrated through one practical example using real fMRI data from a "voice-localizer" experiment.

READ FULL TEXT

page 8

page 9

page 10

page 11

research
11/02/2021

BayesDLMfMRI: Bayesian Matrix-Variate Dynamic Linear Models for Task-based fRMI Modeling in R

This article introduces an R package to perform statistical analysis for...
research
06/13/2018

Full Bayesian Modeling for fMRI Group Analysis

Functional magnetic resonance imaging or functional MRI (fMRI) is a non-...
research
10/26/2019

Assessing Dynamic Effects on a Bayesian Matrix-Variate Dynamic Linear Model: an Application to fMRI Data Analysis

In this work, we propose a modeling procedure for fMRI data analysis usi...
research
12/13/2020

fMRI-Kernel Regression: A Kernel-based Method for Pointwise Statistical Analysis of rs-fMRI for Population Studies

Due to the spontaneous nature of resting-state fMRI (rs-fMRI) signals, c...
research
10/04/2017

Bayesian Analysis of fMRI data with Spatially-Varying Autoregressive Orders

Statistical modeling of fMRI data is challenging as the data are both sp...
research
09/14/2022

Sources of residual autocorrelation in multiband task fMRI and strategies for effective mitigation

In task fMRI analysis, OLS is typically used to estimate task-induced ac...

Please sign up or login with your details

Forgot password? Click here to reset