𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Modeling and inference of multisubject fMRI data

✍ Scribed by Mumford, J.A.; Nichols, T.

Book ID
114580706
Publisher
IEEE
Year
2006
Tongue
English
Weight
409 KB
Volume
25
Category
Article
ISSN
0739-5175

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Simple group fMRI modeling and inference
Simple group fMRI modeling and inference
✍ Jeanette A. Mumford; Thomas Nichols πŸ“‚ Article πŸ“… 2009 πŸ› Elsevier Science 🌐 English βš– 539 KB
Multisubject activation detection in fMR
Multisubject activation detection in fMRI by testing correlation of data with a signal subspace
✍ Seyyed-Mohammad Shams; Gholam-Ali Hossein-Zadeh; Hamid Soltanian-Zadeh πŸ“‚ Article πŸ“… 2006 πŸ› Elsevier Science 🌐 English βš– 624 KB

In this article, a generalized likelihood ratio test is proposed to assess the correlation between multisubject functional MRI (fMRI) time series and bases of a signal subspace for detecting the existence of group activation in each voxel of the brain. The signal subspace is generated by a design ma

Spatial mixture modeling of fMRI data
Spatial mixture modeling of fMRI data
✍ Niels VΓ¦ver Hartvig; Jens Ledet Jensen πŸ“‚ Article πŸ“… 2000 πŸ› John Wiley and Sons 🌐 English βš– 268 KB πŸ‘ 2 views
Unified structural equation modeling app
Unified structural equation modeling approach for the analysis of multisubject, multivariate functional MRI data
✍ Jieun Kim; Wei Zhu; Linda Chang; Peter M. Bentler; Thomas Ernst πŸ“‚ Article πŸ“… 2007 πŸ› John Wiley and Sons 🌐 English βš– 269 KB πŸ‘ 1 views

## Abstract The ultimate goal of brain connectivity studies is to propose, test, modify, and compare certain directional brain pathways. Path analysis or structural equation modeling (SEM) is an ideal statistical method for such studies. In this work, we propose a two‐stage unified SEM plus GLM (Ge