title: Surface-based functional magnetic resonance imaging analysis of partial brain echo planar imaging data at 1.5 T.
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.
authors.affiliation: Department of Biomedical Engineering, Hanyang University, P.O. Box 55, Sungdong, Seoul 133-605, South Korea.
authors.forename: Hang Joon
authors.initials: HJ
authors.lastname: Jo
authors.forename: Jong-Min
authors.initials: JM
authors.lastname: Lee
authors.forename: Jae-Hun
authors.initials: JH
authors.lastname: Kim
authors.forename: Chi-Hoon
authors.initials: CH
authors.lastname: Choi
authors.forename: Do-Hyung
authors.initials: DH
authors.lastname: Kang
authors.forename: Jun Soo
authors.initials: JS
authors.lastname: Kwon
authors.forename: Sun I
authors.initials: SI
authors.lastname: Kim
mesh_terms: D000465:Algorithms; D001931:Brain Mapping / Q000379:methods*; D017352:Echo-Planar Imaging / Q000379:methods*; D005074:Evoked Potentials, Visual / Q000502:physiology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014793:Visual Cortex / Q000502:physiology*