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Surface-based functional magnetic resonance imaging analysis of partial brain echo planar imaging data at 1.5 T
DC Field | Value | Language |
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dc.contributor.author | Jo, Hang Joon | - |
dc.contributor.author | Lee, Jong-Min | - |
dc.contributor.author | Kim, Jae-Hun | - |
dc.contributor.author | Choi, Chi-Hoon | - |
dc.contributor.author | Kwon, Jun Soo | - |
dc.contributor.author | Kim, Sun I. | - |
dc.contributor.author | Kang, Do-Hyung | - |
dc.date.accessioned | 2012-07-05T02:27:54Z | - |
dc.date.available | 2012-07-05T02:27:54Z | - |
dc.date.issued | 2009-06 | - |
dc.identifier.citation | MAGNETIC RESONANCE IMAGING; Vol.27(5); 691-700 | ko_KR |
dc.identifier.issn | 0730-725X | - |
dc.identifier.uri | https://hdl.handle.net/10371/78565 | - |
dc.description.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. | ko_KR |
dc.description.sponsorship | This work was supported by the research fund of Hanyang University
(HY-2005-000-0000-1590). | ko_KR |
dc.language.iso | en | ko_KR |
dc.publisher | ELSEVIER SCIENCE INC | ko_KR |
dc.subject | Functional magnetic resonance imaging | ko_KR |
dc.subject | Segmented echo planar imaging | ko_KR |
dc.subject | Surface-based analysis | ko_KR |
dc.title | Surface-based functional magnetic resonance imaging analysis of partial brain echo planar imaging data at 1.5 T | ko_KR |
dc.type | Article | ko_KR |
dc.contributor.AlternativeAuthor | 조항준 | - |
dc.contributor.AlternativeAuthor | 이종민 | - |
dc.contributor.AlternativeAuthor | 김재훈 | - |
dc.contributor.AlternativeAuthor | 최치훈 | - |
dc.contributor.AlternativeAuthor | 강도형 | - |
dc.contributor.AlternativeAuthor | 권준수 | - |
dc.contributor.AlternativeAuthor | 김선이 | - |
dc.identifier.doi | 10.1016/j.mri.2008.09.002 | - |
dc.citation.journaltitle | MAGNETIC RESONANCE IMAGING | - |
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dc.description.tc | 2 | - |
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