Name
Abstract | ||
|---|---|---|
The standard general linear model (GLM) for rapid event-related fMRI design protocols typically ignores reduction in hemodynamic responses in successive stimuli in a train due to incomplete recovery from the preceding stimuli. To capture this adaptation effect, we incorporate a region-specific adaptation model into GLM. The model quantifies the rate of adaptation across brain regions, which is of interest in neuroscience. Empirical evaluation of the proposed model demonstrates its potential to improve detection sensitivity. In the fMRI experiments using visual and auditory stimuli, we observed that the adaptation effect is significantly stronger in the visual area than in the auditory area, suggesting that we must account for this effect to avoid bias in fMRI detection. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-04268-3_124 | MICCAI |
Keywords | Field | DocType |
fmri detection,auditory stimulus,standard general linear model,auditory area,rapid event-related fmri design,fmri analysis,region-specific adaptation model,fmri experiment,modeling adaptation effects,adaptation effect,detection sensitivity,computer simulation,hemodynamic response,general linear model,magnetic resonance imaging,brain mapping,algorithms | Brain mapping,Auditory stimuli,Auditory area,Haemodynamic response,General linear model,Computer science,Speech recognition,Stimulus (physiology) | Conference |
Volume | Issue | ISSN |
12 | Pt 1 | 0302-9743 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wanmei Ou | 1 | 106 | 7.65 |
| Tommi Raij | 2 | 23 | 3.86 |
| Fa-Hsuan Lin | 3 | 246 | 24.33 |
| Polina Golland | 4 | 1690 | 114.38 |
| Matti Hämäläinen | 5 | 911 | 140.69 |