Name
Abstract | ||
|---|---|---|
Functional MRI (fMRI) carries the potential for non-invasive measurements of brain activity. Typically, what are referred to as activation images are actually thresholded statistical parametric maps. These maps possess large inter-session variability. This is especially problematic when applying fMRI to pre-surgical planning because of a higher requirement for intra-subject precision. The purpose of this study was to investigate the impact of residual movement artefacts on intra-subject and inter-subject variability in the observed fMRI activation. Ten subjects were examined using three different word-generation tasks. Two of the subjects were examined 10 times on 10 different days using the same paradigms. We systematically investigated one approach of correcting for residual movement effects: the inclusion of regressors describing movement-related effects in the design matrix of a General Linear Model (GLM). The data were analysed with and without modeling the residual movement artefacts and the impact on inter-session variance was assessed using F-contrasts. Inclusion of motion parameters in the analysis significantly reduced both the intra-subject as well as the inter-subject-variance. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1016/j.neuroimage.2005.02.021 | NeuroImage |
Keywords | Field | DocType |
fMRI,Inter-session variability,Movement artefacts | Residual,General linear model,Computer science,Cognitive psychology,Brain activity and meditation,Parametric statistics,Design matrix | Journal |
Volume | Issue | ISSN |
26 | 3 | 1053-8119 |
Citations | PageRank | References |
45 | 3.78 | 6 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Torben E Lund | 1 | 90 | 10.33 |
| Minna D Nørgaard | 2 | 45 | 3.78 |
| E ROSTRUP | 3 | 146 | 17.99 |
| James B Rowe | 4 | 148 | 28.06 |
| Olaf B Paulson | 5 | 245 | 28.25 |