Name
Title | ||
|---|---|---|
Fractional-order time series models for extracting the haemodynamic response from functional magnetic resonance imaging data. |
Abstract | ||
|---|---|---|
The postprocessing of functional magnetic resonance imaging (fMRI) data to study the brain functions deals mainly with two objectives: signal detection and extraction of the haemodynamic response. Signal detection consists of exploring and detecting those areas of the brain that are triggered due to an external stimulus. Extraction of the haemodynamic response deals with describing and measuring t... |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TBME.2012.2202117 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Blood flow,Finite impulse response filter,Poles and zeros,Physiology,Brain models,Data models | Signal processing,Data modeling,Neuroscience,Biological system,Detection theory,Computer science,Artificial intelligence,Stimulus (physiology),Finite impulse response,Computer vision,Haemodynamic response,Functional magnetic resonance imaging,Feature extraction | Journal |
Volume | Issue | ISSN |
59 | 8 | 0018-9294 |
Citations | PageRank | References |
1 | 0.38 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kurt Barbé | 1 | 81 | 20.28 |
| Wendy Van Moer | 2 | 99 | 29.63 |
| Guy Nagels | 3 | 6 | 1.83 |