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Surface-based functional magnetic resonance imaging analysis of partial brain echo planar imaging data at 1.5 T
Cited 5 time in
Web of Science
Cited 6 time in Scopus
- Authors
- Issue Date
- 2009-06
- Publisher
- ELSEVIER SCIENCE INC
- Citation
- MAGNETIC RESONANCE IMAGING; Vol.27(5); 691-700
- Keywords
- Functional magnetic resonance imaging ; Segmented echo planar imaging ; Surface-based analysis
- Abstract
- Surface-based functional magnetic resonance imaging (fMRI) analysis is more sensitive and accurate than volume-based analysis for detecting neural activation. However, these advantages are less important in practical fMRI experiments with commonly used 1.5-T magnetic resonance devices because of the resolution gap between the echo planar imaging data and the cortical surface models. We expected high-resolution segmented partial brain echo planar imaging (EPI) data to overcome this problem, and the activation patterns of the high-resolution data could be different from the low-resolution data. For the practical applications of surface-based fMRI analysis using segmented EPI techniques, the effects of some important factors (e.g., activation patterns, registration and local distortions) should be intensively evaluated because the results of surface-based fMRI analyses could be influenced by them. In this Study, we demonstrated the difference between activations detected from low-resolution EPI data, which were covering whole brain, and high-resolution segmented EPI data covering partial brain by volume- and surface-based analysis methods. First, we compared the activation maps of low- and high-resolution EPI datasets; detected by volume- and surface-based analyses, with the spatial patterns of activation clusters, and analyzed the distributions of activations in occipital lobes. We also analyzed the high-resolution EPI data covering motor areas and fusiform gyri of human brain, and presented the differences of activations detected by volume- and surface-based methods.
- ISSN
- 0730-725X
- Language
- English
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