## Abstract ## Purpose To investigate the source of native low‐frequency fluctuations (LFF) in functional MRI (fMRI) signal. ## Materials and Methods Phase analysis was performed on tissue‐segmented fMRI data acquired at systematically varying sampling rates. ## Results LFF in fMRI signal were
Sources of distortion in functional MRI data
✍ Scribed by Peter Jezzard; Stuart Clare
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 313 KB
- Volume
- 8
- Category
- Article
- ISSN
- 1065-9471
No coin nor oath required. For personal study only.
✦ Synopsis
Functional magnetic resonance image (fMRI) experiments rely on the ability to detect subtle signal changes in magnetic resonance image time series. Any areas of signal change that correlate with the neurological stimulus can then be identified and compared with a corresponding high-resolution anatomical scan. This report reviews some of the several artefacts that are frequently present in fMRI data, degrading their quality and hence their interpretation. In particular, the effects of magnetic field inhomogeneities are described, both on echo planar imaging (EPI) data and on spiral imaging data. The modulation of these distortions as the subject moves in the magnet is described. The effects of gradient coil nonlinearities and EPI ghost correction schemes are also discussed.
📜 SIMILAR VOLUMES
## Abstract Functional magnetic resonance imaging (fMRI) was used to examine the brain processing of capsaicin‐induced painful stimulation in the α‐chloralose anesthetized rat. Experiments were performed on a 9.4‐T magnet (Magnex, UK) with Avance console (Bruker, Germany) using a surface coil tuned
## Abstract Most partial Fourier (PF) approaches use a low‐resolution phase estimate in the reconstruction to account for non‐zero phases of the image. These methods may fail when there are large phase errors, a situation commonly encountered in __T__‐weighted functional MRI (fMRI). To mitigate thi
## Abstract Patient motion and image distortion induced by eddy currents cause artifacts in maps of diffusion parameters computed from diffusion‐weighted (DW) images. A novel and comprehensive approach to correct for spatial misalignment of DW imaging (DWI) volumes acquired with different strengths
## 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
Today, most studies of cognitive processes using functional magnetic resonance imaging (fMRI) adopt an event-related experimental design. Highly flexible stimulation settings require new statistical models where not only the activation amount, but also the time course of the measured hemodynamic res